train.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "9e3jbVjjMS6v"
   },
   "source": [
    "# Модель экстренных вызовов"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "sS_NZoIFEMU-"
   },
   "source": [
    "В этой тетради мы проведем подбор признаков. Проведем ручную кластеризацию по двум категориям - ложный вызов (класс 0), авария (класс 1)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "nsGltTbTErqU"
   },
   "source": [
    "Анализ будет производится по сигналам из таблицы revshift_20-2.csv. Мы возмем из нее пути до аудио файлов."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "id": "DUDscl_smOok",
    "outputId": "852e34b7-df3f-412b-b20c-8db39c918ff2"
   },
   "outputs": [],
   "source": [
    "import librosa # параметризация аудио\n",
    "import numpy as np # математические формулы\n",
    "import pandas as pd\n",
    "\n",
    "# Remove warnings\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "# Таблица с путями до аудио сигналов\n",
    "data = pd.read_csv('revshift_20.csv').drop_duplicates('label')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "P4FIb4E7F1L9"
   },
   "source": [
    "Создадим функцию с первичным набором признаков аудио сигнала, что бы определить лучшую функция обобщения массива данных и функция вывода результата на экран для поиска закономерностей по классам.\n",
    "\n",
    "Наша цель найти признаки, где разница между двумя классами будет макисмальной.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "id": "UeILHj9vHEGt"
   },
   "outputs": [],
   "source": [
    "#@title Функция параметризации аудио с определением метода обощения\n",
    "def get_features(y, sr, f=np.mean):\n",
    "  #Получаем различные параметры аудио\n",
    "  chroma_stft = list(map(f, librosa.feature.chroma_stft(y=y, sr=sr))) # Частота цветности (по умолчанию 12 баков цветности)\n",
    "\n",
    "  rmse = f(librosa.feature.rms(y=y)) #Среднеквадратичная амплитуда\n",
    "  spec_cent = f(librosa.feature.spectral_centroid(y=y, sr=sr)) #среднее спектральныго центроида\n",
    "  spec_bw = f(librosa.feature.spectral_bandwidth(y=y, sr=sr)) #среднее ширины полосы частот\n",
    "  rolloff = f(librosa.feature.spectral_rolloff(y=y, sr=sr)) #среднее спектрального спада частоты\n",
    "  zcr = f(librosa.feature.zero_crossing_rate(y)) #среднее частота пересечения нуля звукового временного ряда\n",
    "\n",
    "  #Добавляем все параметры в один список\n",
    "  out = [] # создаем пустой список\n",
    "  out.append(rmse) #  добавляем среднеквадратичную амплитуду\n",
    "  out.append(spec_cent) #добавляем спектральный центроид\n",
    "  out.append(spec_bw) # добавляем ширину полосы частот\n",
    "  out.append(rolloff) # добавляем спектральный спад частоты\n",
    "  out.append(zcr) # добавляем пересечение нуля\n",
    "  out.append(f(chroma_stft)) # добавляем\n",
    "  return out"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "cellView": "form",
    "id": "ywsL3qxOHfcN"
   },
   "outputs": [],
   "source": [
    "#@title Функция вывода результата на экран для поиска закономерностей по классам\n",
    "def features_info(index_list, f):\n",
    "    print('Таблица распределений', index_list)\n",
    "    index_list = data.query(index_list).index\n",
    "    lst = []\n",
    "    for i in index_list:\n",
    "        y, sr = librosa.load(data.loc[i,'original_path'])\n",
    "        lst.append(get_features(y, sr, f))\n",
    "    lst = pd.DataFrame(lst)\n",
    "    display(lst.describe())\n",
    "    print()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Таблица распределений cls == 0\n"
     ]
    },
    {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>60.000000</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>60.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.000408</td>\n",
       "      <td>564.337291</td>\n",
       "      <td>468.680150</td>\n",
       "      <td>845.716553</td>\n",
       "      <td>0.027230</td>\n",
       "      <td>0.005862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.000705</td>\n",
       "      <td>221.111705</td>\n",
       "      <td>174.767781</td>\n",
       "      <td>556.390299</td>\n",
       "      <td>0.013647</td>\n",
       "      <td>0.018003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000003</td>\n",
       "      <td>3.684752</td>\n",
       "      <td>17.462004</td>\n",
       "      <td>10.766602</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.000007</td>\n",
       "      <td>414.339442</td>\n",
       "      <td>345.804166</td>\n",
       "      <td>406.439209</td>\n",
       "      <td>0.018555</td>\n",
       "      <td>0.000117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.000015</td>\n",
       "      <td>492.887775</td>\n",
       "      <td>387.013352</td>\n",
       "      <td>592.163086</td>\n",
       "      <td>0.022461</td>\n",
       "      <td>0.000284</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>0.000491</td>\n",
       "      <td>747.616293</td>\n",
       "      <td>667.712337</td>\n",
       "      <td>1356.591797</td>\n",
       "      <td>0.037109</td>\n",
       "      <td>0.002597</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>0.003001</td>\n",
       "      <td>1259.035115</td>\n",
       "      <td>997.874798</td>\n",
       "      <td>2702.416992</td>\n",
       "      <td>0.069336</td>\n",
       "      <td>0.128443</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               0            1           2            3          4          5\n",
       "count  60.000000    60.000000   60.000000    60.000000  60.000000  60.000000\n",
       "mean    0.000408   564.337291  468.680150   845.716553   0.027230   0.005862\n",
       "std     0.000705   221.111705  174.767781   556.390299   0.013647   0.018003\n",
       "min     0.000003     3.684752   17.462004    10.766602   0.000000   0.000040\n",
       "25%     0.000007   414.339442  345.804166   406.439209   0.018555   0.000117\n",
       "50%     0.000015   492.887775  387.013352   592.163086   0.022461   0.000284\n",
       "75%     0.000491   747.616293  667.712337  1356.591797   0.037109   0.002597\n",
       "max     0.003001  1259.035115  997.874798  2702.416992   0.069336   0.128443"
      ]
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Таблица распределений cls == 1\n"
     ]
    },
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>4.030000e+02</td>\n",
       "      <td>403.000000</td>\n",
       "      <td>403.000000</td>\n",
       "      <td>403.000000</td>\n",
       "      <td>403.000000</td>\n",
       "      <td>403.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>1.615577e-04</td>\n",
       "      <td>388.724973</td>\n",
       "      <td>359.414644</td>\n",
       "      <td>390.162405</td>\n",
       "      <td>0.017605</td>\n",
       "      <td>0.000231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>2.506953e-04</td>\n",
       "      <td>175.521037</td>\n",
       "      <td>114.153666</td>\n",
       "      <td>217.747088</td>\n",
       "      <td>0.010845</td>\n",
       "      <td>0.002728</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>3.113112e-07</td>\n",
       "      <td>3.685809</td>\n",
       "      <td>17.674359</td>\n",
       "      <td>10.766602</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1.357068e-06</td>\n",
       "      <td>306.362699</td>\n",
       "      <td>343.522049</td>\n",
       "      <td>312.231445</td>\n",
       "      <td>0.010742</td>\n",
       "      <td>0.000010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>3.474475e-05</td>\n",
       "      <td>429.238711</td>\n",
       "      <td>382.604924</td>\n",
       "      <td>462.963867</td>\n",
       "      <td>0.018066</td>\n",
       "      <td>0.000014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>2.831662e-04</td>\n",
       "      <td>513.955764</td>\n",
       "      <td>407.729861</td>\n",
       "      <td>484.497070</td>\n",
       "      <td>0.024414</td>\n",
       "      <td>0.000023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>2.526199e-03</td>\n",
       "      <td>1153.743350</td>\n",
       "      <td>768.584335</td>\n",
       "      <td>2164.086914</td>\n",
       "      <td>0.054199</td>\n",
       "      <td>0.054367</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  0            1           2            3           4  \\\n",
       "count  4.030000e+02   403.000000  403.000000   403.000000  403.000000   \n",
       "mean   1.615577e-04   388.724973  359.414644   390.162405    0.017605   \n",
       "std    2.506953e-04   175.521037  114.153666   217.747088    0.010845   \n",
       "min    3.113112e-07     3.685809   17.674359    10.766602    0.000000   \n",
       "25%    1.357068e-06   306.362699  343.522049   312.231445    0.010742   \n",
       "50%    3.474475e-05   429.238711  382.604924   462.963867    0.018066   \n",
       "75%    2.831662e-04   513.955764  407.729861   484.497070    0.024414   \n",
       "max    2.526199e-03  1153.743350  768.584335  2164.086914    0.054199   \n",
       "\n",
       "                5  \n",
       "count  403.000000  \n",
       "mean     0.000231  \n",
       "std      0.002728  \n",
       "min      0.000004  \n",
       "25%      0.000010  \n",
       "50%      0.000014  \n",
       "75%      0.000023  \n",
       "max      0.054367  "
      ]
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "CPU times: total: 5min 59s\n",
      "Wall time: 4min 21s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "#@title Признаки с методом np.min()\n",
    "f = np.min #@param\n",
    "features_info('cls == 0', f=f)\n",
    "features_info('cls == 1', f=f)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "_6BgK_FeJllv"
   },
   "source": [
    "Вывод. Обнаружена значительная разница в признаках: 0, 1, 2, 3, 4, 5, 6"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "cellView": "form",
    "id": "9MdVHhD2EAaN",
    "outputId": "501fb2ab-ffec-4033-8362-5cdbd11acc05"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Таблица распределений cls == 0\n"
     ]
    },
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>60.000000</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>60.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.110517</td>\n",
       "      <td>1212.664105</td>\n",
       "      <td>870.435407</td>\n",
       "      <td>2200.053423</td>\n",
       "      <td>0.091796</td>\n",
       "      <td>0.424157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.107028</td>\n",
       "      <td>222.264895</td>\n",
       "      <td>92.382396</td>\n",
       "      <td>334.361716</td>\n",
       "      <td>0.026518</td>\n",
       "      <td>0.110869</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000288</td>\n",
       "      <td>834.354502</td>\n",
       "      <td>661.183051</td>\n",
       "      <td>1492.089265</td>\n",
       "      <td>0.042949</td>\n",
       "      <td>0.287169</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.033695</td>\n",
       "      <td>1051.726850</td>\n",
       "      <td>818.921520</td>\n",
       "      <td>1981.315433</td>\n",
       "      <td>0.072092</td>\n",
       "      <td>0.339858</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.068756</td>\n",
       "      <td>1199.188064</td>\n",
       "      <td>864.694706</td>\n",
       "      <td>2186.495674</td>\n",
       "      <td>0.087602</td>\n",
       "      <td>0.383935</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>0.158417</td>\n",
       "      <td>1308.999822</td>\n",
       "      <td>902.945428</td>\n",
       "      <td>2344.927104</td>\n",
       "      <td>0.108055</td>\n",
       "      <td>0.520521</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>0.392343</td>\n",
       "      <td>1733.518584</td>\n",
       "      <td>1192.936277</td>\n",
       "      <td>3129.588894</td>\n",
       "      <td>0.155742</td>\n",
       "      <td>0.762237</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               0            1            2            3          4          5\n",
       "count  60.000000    60.000000    60.000000    60.000000  60.000000  60.000000\n",
       "mean    0.110517  1212.664105   870.435407  2200.053423   0.091796   0.424157\n",
       "std     0.107028   222.264895    92.382396   334.361716   0.026518   0.110869\n",
       "min     0.000288   834.354502   661.183051  1492.089265   0.042949   0.287169\n",
       "25%     0.033695  1051.726850   818.921520  1981.315433   0.072092   0.339858\n",
       "50%     0.068756  1199.188064   864.694706  2186.495674   0.087602   0.383935\n",
       "75%     0.158417  1308.999822   902.945428  2344.927104   0.108055   0.520521\n",
       "max     0.392343  1733.518584  1192.936277  3129.588894   0.155742   0.762237"
      ]
     },
     "metadata": {},
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Таблица распределений cls == 1\n"
     ]
    },
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       "      <th></th>\n",
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       "      <th>1</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>403.000000</td>\n",
       "      <td>403.000000</td>\n",
       "      <td>403.000000</td>\n",
       "      <td>403.000000</td>\n",
       "      <td>403.000000</td>\n",
       "      <td>403.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.059316</td>\n",
       "      <td>1197.613302</td>\n",
       "      <td>859.784663</td>\n",
       "      <td>2125.219150</td>\n",
       "      <td>0.091849</td>\n",
       "      <td>0.412786</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.042651</td>\n",
       "      <td>192.710159</td>\n",
       "      <td>91.635740</td>\n",
       "      <td>332.714619</td>\n",
       "      <td>0.022563</td>\n",
       "      <td>0.075505</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.004644</td>\n",
       "      <td>460.893459</td>\n",
       "      <td>580.619676</td>\n",
       "      <td>742.725253</td>\n",
       "      <td>0.025182</td>\n",
       "      <td>0.203164</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.033359</td>\n",
       "      <td>1100.651904</td>\n",
       "      <td>802.929583</td>\n",
       "      <td>1915.381655</td>\n",
       "      <td>0.079620</td>\n",
       "      <td>0.363605</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.048702</td>\n",
       "      <td>1200.031405</td>\n",
       "      <td>852.146701</td>\n",
       "      <td>2142.273914</td>\n",
       "      <td>0.090899</td>\n",
       "      <td>0.402314</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>0.074189</td>\n",
       "      <td>1319.784999</td>\n",
       "      <td>911.580092</td>\n",
       "      <td>2314.007746</td>\n",
       "      <td>0.105106</td>\n",
       "      <td>0.457647</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>0.407895</td>\n",
       "      <td>2099.379239</td>\n",
       "      <td>1160.540533</td>\n",
       "      <td>3137.459197</td>\n",
       "      <td>0.219332</td>\n",
       "      <td>0.756308</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "                0            1            2            3           4  \\\n",
       "count  403.000000   403.000000   403.000000   403.000000  403.000000   \n",
       "mean     0.059316  1197.613302   859.784663  2125.219150    0.091849   \n",
       "std      0.042651   192.710159    91.635740   332.714619    0.022563   \n",
       "min      0.004644   460.893459   580.619676   742.725253    0.025182   \n",
       "25%      0.033359  1100.651904   802.929583  1915.381655    0.079620   \n",
       "50%      0.048702  1200.031405   852.146701  2142.273914    0.090899   \n",
       "75%      0.074189  1319.784999   911.580092  2314.007746    0.105106   \n",
       "max      0.407895  2099.379239  1160.540533  3137.459197    0.219332   \n",
       "\n",
       "                5  \n",
       "count  403.000000  \n",
       "mean     0.412786  \n",
       "std      0.075505  \n",
       "min      0.203164  \n",
       "25%      0.363605  \n",
       "50%      0.402314  \n",
       "75%      0.457647  \n",
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      "\n"
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   ],
   "source": [
    "#@title Признаки с методом np.mean()\n",
    "f = np.mean #@param\n",
    "features_info('cls == 0', f=f)\n",
    "features_info('cls == 1', f=f)"
   ]
  },
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   "source": [
    "Вывод. Обнаружена значительная разница в признаке: 0"
   ]
  },
  {
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   "execution_count": 19,
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    "id": "u75uS0qaEAaO",
    "outputId": "0c329526-e62e-4979-c774-bfbcf01f6368"
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Таблица распределений cls == 0\n"
     ]
    },
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       "      <td>60.000000</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>60.0</td>\n",
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       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.360295</td>\n",
       "      <td>2486.202508</td>\n",
       "      <td>1273.871042</td>\n",
       "      <td>3383.942871</td>\n",
       "      <td>0.240983</td>\n",
       "      <td>1.0</td>\n",
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       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.205364</td>\n",
       "      <td>453.906650</td>\n",
       "      <td>105.428493</td>\n",
       "      <td>211.374988</td>\n",
       "      <td>0.053812</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000330</td>\n",
       "      <td>1187.459656</td>\n",
       "      <td>1045.892418</td>\n",
       "      <td>2680.883789</td>\n",
       "      <td>0.088867</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.229197</td>\n",
       "      <td>2193.464871</td>\n",
       "      <td>1224.380534</td>\n",
       "      <td>3273.046875</td>\n",
       "      <td>0.214355</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.339320</td>\n",
       "      <td>2577.050167</td>\n",
       "      <td>1271.967408</td>\n",
       "      <td>3445.312500</td>\n",
       "      <td>0.257324</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>0.493350</td>\n",
       "      <td>2849.566069</td>\n",
       "      <td>1343.321901</td>\n",
       "      <td>3531.445312</td>\n",
       "      <td>0.285400</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>0.767691</td>\n",
       "      <td>3162.646603</td>\n",
       "      <td>1550.788305</td>\n",
       "      <td>3714.477539</td>\n",
       "      <td>0.307129</td>\n",
       "      <td>1.0</td>\n",
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       "  </tbody>\n",
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      "text/plain": [
       "               0            1            2            3          4     5\n",
       "count  60.000000    60.000000    60.000000    60.000000  60.000000  60.0\n",
       "mean    0.360295  2486.202508  1273.871042  3383.942871   0.240983   1.0\n",
       "std     0.205364   453.906650   105.428493   211.374988   0.053812   0.0\n",
       "min     0.000330  1187.459656  1045.892418  2680.883789   0.088867   1.0\n",
       "25%     0.229197  2193.464871  1224.380534  3273.046875   0.214355   1.0\n",
       "50%     0.339320  2577.050167  1271.967408  3445.312500   0.257324   1.0\n",
       "75%     0.493350  2849.566069  1343.321901  3531.445312   0.285400   1.0\n",
       "max     0.767691  3162.646603  1550.788305  3714.477539   0.307129   1.0"
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Таблица распределений cls == 1\n"
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       "      <th>count</th>\n",
       "      <td>403.000000</td>\n",
       "      <td>403.000000</td>\n",
       "      <td>403.000000</td>\n",
       "      <td>403.000000</td>\n",
       "      <td>403.000000</td>\n",
       "      <td>403.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.372304</td>\n",
       "      <td>2753.503496</td>\n",
       "      <td>1329.288253</td>\n",
       "      <td>3505.370367</td>\n",
       "      <td>0.274929</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.151895</td>\n",
       "      <td>318.150075</td>\n",
       "      <td>88.677900</td>\n",
       "      <td>167.180802</td>\n",
       "      <td>0.033088</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.015468</td>\n",
       "      <td>1146.952385</td>\n",
       "      <td>933.738730</td>\n",
       "      <td>1970.288086</td>\n",
       "      <td>0.090820</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.244092</td>\n",
       "      <td>2598.871864</td>\n",
       "      <td>1277.161371</td>\n",
       "      <td>3466.845703</td>\n",
       "      <td>0.263672</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.323269</td>\n",
       "      <td>2806.106323</td>\n",
       "      <td>1330.145192</td>\n",
       "      <td>3531.445312</td>\n",
       "      <td>0.281250</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>0.470254</td>\n",
       "      <td>2968.765166</td>\n",
       "      <td>1388.559459</td>\n",
       "      <td>3585.278320</td>\n",
       "      <td>0.294922</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>0.802991</td>\n",
       "      <td>3372.312191</td>\n",
       "      <td>1621.866560</td>\n",
       "      <td>3768.310547</td>\n",
       "      <td>0.335449</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
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       "                0            1            2            3           4      5\n",
       "count  403.000000   403.000000   403.000000   403.000000  403.000000  403.0\n",
       "mean     0.372304  2753.503496  1329.288253  3505.370367    0.274929    1.0\n",
       "std      0.151895   318.150075    88.677900   167.180802    0.033088    0.0\n",
       "min      0.015468  1146.952385   933.738730  1970.288086    0.090820    1.0\n",
       "25%      0.244092  2598.871864  1277.161371  3466.845703    0.263672    1.0\n",
       "50%      0.323269  2806.106323  1330.145192  3531.445312    0.281250    1.0\n",
       "75%      0.470254  2968.765166  1388.559459  3585.278320    0.294922    1.0\n",
       "max      0.802991  3372.312191  1621.866560  3768.310547    0.335449    1.0"
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     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "#@title Признаки с методом np.max()\n",
    "f = np.max #@param\n",
    "features_info('cls == 0', f=f)\n",
    "features_info('cls == 1', f=f)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "G21P1sJrK9LO"
   },
   "source": [
    "Вывод. Обнаружена значительная разница в признаках: 1, 2, 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "id": "nCSYZPIMEAaO",
    "outputId": "86457162-13b8-4bd0-fb7f-422aeb937f09"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Таблица распределений cls == 0\n"
     ]
    },
    {
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       "      <th>count</th>\n",
       "      <td>60.000000</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>60.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.091825</td>\n",
       "      <td>1193.425641</td>\n",
       "      <td>886.053372</td>\n",
       "      <td>2262.691040</td>\n",
       "      <td>0.086609</td>\n",
       "      <td>0.350604</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.111565</td>\n",
       "      <td>240.862725</td>\n",
       "      <td>104.651981</td>\n",
       "      <td>389.069303</td>\n",
       "      <td>0.029898</td>\n",
       "      <td>0.166569</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000270</td>\n",
       "      <td>798.725897</td>\n",
       "      <td>645.040831</td>\n",
       "      <td>1324.291992</td>\n",
       "      <td>0.024902</td>\n",
       "      <td>0.146422</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.014795</td>\n",
       "      <td>1011.895649</td>\n",
       "      <td>818.645765</td>\n",
       "      <td>1989.129639</td>\n",
       "      <td>0.063965</td>\n",
       "      <td>0.221107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.047375</td>\n",
       "      <td>1159.846018</td>\n",
       "      <td>871.917541</td>\n",
       "      <td>2250.219727</td>\n",
       "      <td>0.080078</td>\n",
       "      <td>0.298187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>0.112213</td>\n",
       "      <td>1314.377440</td>\n",
       "      <td>921.770753</td>\n",
       "      <td>2532.843018</td>\n",
       "      <td>0.103882</td>\n",
       "      <td>0.477356</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>0.390436</td>\n",
       "      <td>1736.637491</td>\n",
       "      <td>1204.164567</td>\n",
       "      <td>3154.614258</td>\n",
       "      <td>0.157715</td>\n",
       "      <td>0.915134</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               0            1            2            3          4          5\n",
       "count  60.000000    60.000000    60.000000    60.000000  60.000000  60.000000\n",
       "mean    0.091825  1193.425641   886.053372  2262.691040   0.086609   0.350604\n",
       "std     0.111565   240.862725   104.651981   389.069303   0.029898   0.166569\n",
       "min     0.000270   798.725897   645.040831  1324.291992   0.024902   0.146422\n",
       "25%     0.014795  1011.895649   818.645765  1989.129639   0.063965   0.221107\n",
       "50%     0.047375  1159.846018   871.917541  2250.219727   0.080078   0.298187\n",
       "75%     0.112213  1314.377440   921.770753  2532.843018   0.103882   0.477356\n",
       "max     0.390436  1736.637491  1204.164567  3154.614258   0.157715   0.915134"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Таблица распределений cls == 1\n"
     ]
    },
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>403.000000</td>\n",
       "      <td>403.000000</td>\n",
       "      <td>403.000000</td>\n",
       "      <td>403.000000</td>\n",
       "      <td>403.000000</td>\n",
       "      <td>403.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.027073</td>\n",
       "      <td>1210.333900</td>\n",
       "      <td>890.490451</td>\n",
       "      <td>2297.133256</td>\n",
       "      <td>0.087687</td>\n",
       "      <td>0.342920</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.040819</td>\n",
       "      <td>221.952007</td>\n",
       "      <td>117.032755</td>\n",
       "      <td>417.219606</td>\n",
       "      <td>0.025941</td>\n",
       "      <td>0.132062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000252</td>\n",
       "      <td>405.501010</td>\n",
       "      <td>570.772897</td>\n",
       "      <td>624.462891</td>\n",
       "      <td>0.009277</td>\n",
       "      <td>0.018681</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.004631</td>\n",
       "      <td>1092.841201</td>\n",
       "      <td>816.964883</td>\n",
       "      <td>2067.187500</td>\n",
       "      <td>0.071777</td>\n",
       "      <td>0.246589</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.016248</td>\n",
       "      <td>1215.961218</td>\n",
       "      <td>879.091971</td>\n",
       "      <td>2304.052734</td>\n",
       "      <td>0.087402</td>\n",
       "      <td>0.330123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>0.034177</td>\n",
       "      <td>1336.375087</td>\n",
       "      <td>953.378162</td>\n",
       "      <td>2594.750977</td>\n",
       "      <td>0.102051</td>\n",
       "      <td>0.423777</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>0.471528</td>\n",
       "      <td>2161.547290</td>\n",
       "      <td>1276.062346</td>\n",
       "      <td>3359.179688</td>\n",
       "      <td>0.229492</td>\n",
       "      <td>0.871485</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                0            1            2            3           4  \\\n",
       "count  403.000000   403.000000   403.000000   403.000000  403.000000   \n",
       "mean     0.027073  1210.333900   890.490451  2297.133256    0.087687   \n",
       "std      0.040819   221.952007   117.032755   417.219606    0.025941   \n",
       "min      0.000252   405.501010   570.772897   624.462891    0.009277   \n",
       "25%      0.004631  1092.841201   816.964883  2067.187500    0.071777   \n",
       "50%      0.016248  1215.961218   879.091971  2304.052734    0.087402   \n",
       "75%      0.034177  1336.375087   953.378162  2594.750977    0.102051   \n",
       "max      0.471528  2161.547290  1276.062346  3359.179688    0.229492   \n",
       "\n",
       "                5  \n",
       "count  403.000000  \n",
       "mean     0.342920  \n",
       "std      0.132062  \n",
       "min      0.018681  \n",
       "25%      0.246589  \n",
       "50%      0.330123  \n",
       "75%      0.423777  \n",
       "max      0.871485  "
      ]
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "#@title Признаки с методом np.median()\n",
    "f = np.median #@param\n",
    "features_info('cls == 0', f=f)\n",
    "features_info('cls == 1', f=f)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "fbLxQkUKLQLQ"
   },
   "source": [
    "Вывод. Обнаружена значительная разница в признаках: 0"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "SNKV37LxEAaP"
   },
   "source": [
    "# Новый набор признаков с индивидуальными методами обощения\n",
    "С учетом результатов, пишем новую функцию параметризации аудио с новым набором параметров и их индивидульаными методами обощениями."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "G1oSH110EAaP",
    "outputId": "5801abd9-e19a-49e2-9504-0d3b92cb4a65"
   },
   "outputs": [
    {
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       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
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       "      <th>count</th>\n",
       "      <td>60.000000</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>60.000000</td>\n",
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       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.000408</td>\n",
       "      <td>0.110517</td>\n",
       "      <td>0.091825</td>\n",
       "      <td>564.337291</td>\n",
       "      <td>2486.202508</td>\n",
       "      <td>468.680150</td>\n",
       "      <td>845.716553</td>\n",
       "      <td>0.027230</td>\n",
       "      <td>0.005862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.000705</td>\n",
       "      <td>0.107028</td>\n",
       "      <td>0.111565</td>\n",
       "      <td>221.111705</td>\n",
       "      <td>453.906648</td>\n",
       "      <td>174.767781</td>\n",
       "      <td>556.390299</td>\n",
       "      <td>0.013647</td>\n",
       "      <td>0.018003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000003</td>\n",
       "      <td>0.000288</td>\n",
       "      <td>0.000270</td>\n",
       "      <td>3.684752</td>\n",
       "      <td>1187.459659</td>\n",
       "      <td>17.462004</td>\n",
       "      <td>10.766602</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.000007</td>\n",
       "      <td>0.033695</td>\n",
       "      <td>0.014795</td>\n",
       "      <td>414.339442</td>\n",
       "      <td>2193.464879</td>\n",
       "      <td>345.804163</td>\n",
       "      <td>406.439209</td>\n",
       "      <td>0.018555</td>\n",
       "      <td>0.000117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.000015</td>\n",
       "      <td>0.068756</td>\n",
       "      <td>0.047375</td>\n",
       "      <td>492.887775</td>\n",
       "      <td>2577.050169</td>\n",
       "      <td>387.013352</td>\n",
       "      <td>592.163086</td>\n",
       "      <td>0.022461</td>\n",
       "      <td>0.000284</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>0.000491</td>\n",
       "      <td>0.158417</td>\n",
       "      <td>0.112213</td>\n",
       "      <td>747.616290</td>\n",
       "      <td>2849.566062</td>\n",
       "      <td>667.712339</td>\n",
       "      <td>1356.591797</td>\n",
       "      <td>0.037109</td>\n",
       "      <td>0.002597</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>0.003001</td>\n",
       "      <td>0.392343</td>\n",
       "      <td>0.390436</td>\n",
       "      <td>1259.035116</td>\n",
       "      <td>3162.646604</td>\n",
       "      <td>997.874801</td>\n",
       "      <td>2702.416992</td>\n",
       "      <td>0.069336</td>\n",
       "      <td>0.128443</td>\n",
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       "  </tbody>\n",
       "</table>\n",
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      "text/plain": [
       "               0          1          2            3            4           5  \\\n",
       "count  60.000000  60.000000  60.000000    60.000000    60.000000   60.000000   \n",
       "mean    0.000408   0.110517   0.091825   564.337291  2486.202508  468.680150   \n",
       "std     0.000705   0.107028   0.111565   221.111705   453.906648  174.767781   \n",
       "min     0.000003   0.000288   0.000270     3.684752  1187.459659   17.462004   \n",
       "25%     0.000007   0.033695   0.014795   414.339442  2193.464879  345.804163   \n",
       "50%     0.000015   0.068756   0.047375   492.887775  2577.050169  387.013352   \n",
       "75%     0.000491   0.158417   0.112213   747.616290  2849.566062  667.712339   \n",
       "max     0.003001   0.392343   0.390436  1259.035116  3162.646604  997.874801   \n",
       "\n",
       "                 6          7          8  \n",
       "count    60.000000  60.000000  60.000000  \n",
       "mean    845.716553   0.027230   0.005862  \n",
       "std     556.390299   0.013647   0.018003  \n",
       "min      10.766602   0.000000   0.000040  \n",
       "25%     406.439209   0.018555   0.000117  \n",
       "50%     592.163086   0.022461   0.000284  \n",
       "75%    1356.591797   0.037109   0.002597  \n",
       "max    2702.416992   0.069336   0.128443  "
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>4.030000e+02</td>\n",
       "      <td>403.000000</td>\n",
       "      <td>403.000000</td>\n",
       "      <td>403.000000</td>\n",
       "      <td>403.000000</td>\n",
       "      <td>403.000000</td>\n",
       "      <td>403.000000</td>\n",
       "      <td>403.000000</td>\n",
       "      <td>403.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>1.615577e-04</td>\n",
       "      <td>0.059316</td>\n",
       "      <td>0.027073</td>\n",
       "      <td>388.724973</td>\n",
       "      <td>2753.503496</td>\n",
       "      <td>359.414644</td>\n",
       "      <td>390.162405</td>\n",
       "      <td>0.017605</td>\n",
       "      <td>0.000231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>2.506953e-04</td>\n",
       "      <td>0.042651</td>\n",
       "      <td>0.040819</td>\n",
       "      <td>175.521036</td>\n",
       "      <td>318.150075</td>\n",
       "      <td>114.153666</td>\n",
       "      <td>217.747088</td>\n",
       "      <td>0.010845</td>\n",
       "      <td>0.002728</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>3.113112e-07</td>\n",
       "      <td>0.004644</td>\n",
       "      <td>0.000252</td>\n",
       "      <td>3.685809</td>\n",
       "      <td>1146.952381</td>\n",
       "      <td>17.674359</td>\n",
       "      <td>10.766602</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1.357068e-06</td>\n",
       "      <td>0.033359</td>\n",
       "      <td>0.004631</td>\n",
       "      <td>306.362699</td>\n",
       "      <td>2598.871860</td>\n",
       "      <td>343.522050</td>\n",
       "      <td>312.231445</td>\n",
       "      <td>0.010742</td>\n",
       "      <td>0.000010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>3.474475e-05</td>\n",
       "      <td>0.048702</td>\n",
       "      <td>0.016248</td>\n",
       "      <td>429.238713</td>\n",
       "      <td>2806.106322</td>\n",
       "      <td>382.604925</td>\n",
       "      <td>462.963867</td>\n",
       "      <td>0.018066</td>\n",
       "      <td>0.000014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>2.831662e-04</td>\n",
       "      <td>0.074189</td>\n",
       "      <td>0.034177</td>\n",
       "      <td>513.955759</td>\n",
       "      <td>2968.765179</td>\n",
       "      <td>407.729861</td>\n",
       "      <td>484.497070</td>\n",
       "      <td>0.024414</td>\n",
       "      <td>0.000023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>2.526199e-03</td>\n",
       "      <td>0.407895</td>\n",
       "      <td>0.471528</td>\n",
       "      <td>1153.743349</td>\n",
       "      <td>3372.312191</td>\n",
       "      <td>768.584333</td>\n",
       "      <td>2164.086914</td>\n",
       "      <td>0.054199</td>\n",
       "      <td>0.054367</td>\n",
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       "</table>\n",
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      ],
      "text/plain": [
       "                  0           1           2            3            4  \\\n",
       "count  4.030000e+02  403.000000  403.000000   403.000000   403.000000   \n",
       "mean   1.615577e-04    0.059316    0.027073   388.724973  2753.503496   \n",
       "std    2.506953e-04    0.042651    0.040819   175.521036   318.150075   \n",
       "min    3.113112e-07    0.004644    0.000252     3.685809  1146.952381   \n",
       "25%    1.357068e-06    0.033359    0.004631   306.362699  2598.871860   \n",
       "50%    3.474475e-05    0.048702    0.016248   429.238713  2806.106322   \n",
       "75%    2.831662e-04    0.074189    0.034177   513.955759  2968.765179   \n",
       "max    2.526199e-03    0.407895    0.471528  1153.743349  3372.312191   \n",
       "\n",
       "                5            6           7           8  \n",
       "count  403.000000   403.000000  403.000000  403.000000  \n",
       "mean   359.414644   390.162405    0.017605    0.000231  \n",
       "std    114.153666   217.747088    0.010845    0.002728  \n",
       "min     17.674359    10.766602    0.000000    0.000004  \n",
       "25%    343.522050   312.231445    0.010742    0.000010  \n",
       "50%    382.604925   462.963867    0.018066    0.000014  \n",
       "75%    407.729861   484.497070    0.024414    0.000023  \n",
       "max    768.584333  2164.086914    0.054199    0.054367  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: total: 5min 39s\n",
      "Wall time: 4min 9s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "#@title Новая функция параметризации аудио с индивидуальными методами обощения \n",
    "def get_features(y, sr):\n",
    "\n",
    "    #Получаем различные параметры аудио\n",
    "    rmse = librosa.feature.rms(y=y) # Среднеквадратичная амплитуда\n",
    "    spec_cent = librosa.feature.spectral_centroid(y=y, sr=sr) #среднее спектральныго центроида\n",
    "    spec_bw = librosa.feature.spectral_bandwidth(y=y, sr=sr) #среднее ширины полосы частот\n",
    "    rolloff = librosa.feature.spectral_rolloff(y=y, sr=sr) #среднее спектрального спада частоты\n",
    "    zcr = librosa.feature.zero_crossing_rate(y) #среднее частота пересечения нуля звукового временного ряда\n",
    "\n",
    "    #Добавляем все параметры в один список\n",
    "    out = [] # создаем пустой список\n",
    "    for f in [np.min, np.mean, np.median]: out.append(f(rmse)) # добавляем среднеквадратичную амплитуду\n",
    "    for f in [np.min, np.max]: out.append(f(spec_cent)) # добавляем спектральный центроид\n",
    "    for f in [np.min]: out.append(f(spec_bw)) # добавляем ширину полосы частот\n",
    "    for f in [np.min]: out.append(f(rolloff)) # добавляем спектральный спад частоты\n",
    "    for f in [np.min]: out.append(f(zcr)) # добавляем пересечение нуля\n",
    "    #добавляем среднее всех Частот цветности (по умолчанию 12 баков цветности)\n",
    "    for f in [np.min]: out.append(f(list(map(f, librosa.feature.chroma_stft(y=y, sr=sr)))))\n",
    "    #Возвращаем получившийся список размерностью (37,)\n",
    "    return out\n",
    "\n",
    "# Новая функция вывода результата на экран для поиска закономерностей по классам\n",
    "def features_info(index_list):\n",
    "    print('Таблица распределений', index_list)\n",
    "    index_list = data.query(index_list).index\n",
    "    lst = []\n",
    "    for i in index_list:\n",
    "        y, sr = librosa.load(data.loc[i,'original_path'])\n",
    "        lst.append(get_features(y, sr))\n",
    "    lst = pd.DataFrame(lst)\n",
    "    display(lst.describe())\n",
    "    print()\n",
    "\n",
    "features_info('cls == 0')\n",
    "features_info('cls == 1')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "WTvKJWNoEAaP",
    "outputId": "df465c65-1da0-4ce1-89eb-a6567ef3cccd"
   },
   "outputs": [
    {
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       "      <th>0</th>\n",
       "      <td>0.000408</td>\n",
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       "      <td>0.091825</td>\n",
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       "      <th>1</th>\n",
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       "          0         1         2           3            4           5  \\\n",
       "0  0.000408  0.110517  0.091825  564.337291  2486.202508  468.680150   \n",
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      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#@title Разница между классами в признаках\n",
    "def _features_info(index_list):\n",
    "    lst = []\n",
    "    for i in index_list:\n",
    "        y, sr = librosa.load(data.loc[i,'original_path'])\n",
    "        lst.append(get_features(y, sr))\n",
    "    lst = pd.DataFrame(lst)\n",
    "    display(lst.describe())\n",
    "\n",
    "x0 = _features_info(index_list=data.query('cls == 0').index).loc['mean']\n",
    "x1 = _features_info(index_list=data.query('cls == 1').index).loc['mean']\n",
    "pd.DataFrame([x0, x1]).reset_index(drop=True)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "В таблице выше строки - классы. 0 - Ложный вызов, 1 - Авария.\n",
    "\n",
    "Мы нашли разницу между классами в признаках для последующий кластеризации.\n",
    "\n",
    "В таблице ниже подчеркнем разницу между классами. Равно удаленный промежуток между классами."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "b9j_CPXcEAaP",
    "outputId": "e7cf93a9-051b-4f64-8330-b8c5ecff978d"
   },
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>0</th>\n",
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       "      <th>0</th>\n",
       "      <td>0.000285</td>\n",
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       "      <td>0.059449</td>\n",
       "      <td>476.531132</td>\n",
       "      <td>2619.853002</td>\n",
       "      <td>414.047397</td>\n",
       "      <td>617.939479</td>\n",
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       "          0         1         2           3            4           5  \\\n",
       "0  0.000285  0.084916  0.059449  476.531132  2619.853002  414.047397   \n",
       "\n",
       "            6         7         8  \n",
       "0  617.939479  0.022417  0.003046  "
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#@title Равно удаленный промежуток между классами.\n",
    "pd.DataFrame([pd.DataFrame([x0.loc['mean'], x1.loc['mean']]).mean(axis=0)])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "nhBXqSj4EAaQ"
   },
   "source": [
    "# Смещение промежуточного значения между классами. Бинарная балансировка.\n",
    "Для начала конвертируем разницу между классами к общему - бинарному виду. Таким образом, мы увидим какие признаки лучше выделяют разницу между классами."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "#@title Функция параметризации с бинарным выходом и определением смещения промежута\n",
    "def get_features(y, sr, k):\n",
    "    #Получаем различные параметры аудио\n",
    "    rmse = librosa.feature.rms(y=y) # Среднеквадратичная амплитуда\n",
    "    spec_cent = librosa.feature.spectral_centroid(y=y, sr=sr) #среднее спектральныго центроида\n",
    "    spec_bw = librosa.feature.spectral_bandwidth(y=y, sr=sr) #среднее ширины полосы частот\n",
    "    rolloff = librosa.feature.spectral_rolloff(y=y, sr=sr) #среднее спектрального спада частоты\n",
    "    zcr = librosa.feature.zero_crossing_rate(y) #среднее частота пересечения нуля звукового временного ряда\n",
    "    chroma_stft = librosa.feature.chroma_stft(y=y, sr=sr) # Частота цветности (по умолчанию 12 баков цветности)\n",
    "\n",
    "    # конвертация значения в бинарный вариант по среднему значению и смещению k\n",
    "    set_binary = lambda x, mean, k=1.0: 1 if x < mean*k else 0\n",
    "    r_set_binary = lambda x, mean, k=1.0: 1 if x > mean*k else 0\n",
    "\n",
    "    #Добавляем все параметры в один список\n",
    "    out = [] # создаем пустой список\n",
    "    \n",
    "    # добавляем среднеквадратичную амплитуду\n",
    "    out.append(set_binary(np.min(rmse), 0.000285, k))\n",
    "    out.append(set_binary(np.mean(rmse), 0.084916, k))\n",
    "    out.append(set_binary(np.median(rmse), 0.059449, k))\n",
    "    \n",
    "    # добавляем спектральный центроид\n",
    "    out.append(set_binary(np.min(spec_cent), 476.531132, k))\n",
    "    out.append(set_binary(np.max(spec_cent), 2619.853002 , k))\n",
    "    \n",
    "    # добавляем ширину полосы частот\n",
    "    out.append(set_binary(np.min(spec_bw), 414.047397, k))\n",
    "    \n",
    "    # добавляем спектральный спад частоты\n",
    "    out.append(set_binary(np.min(rolloff), 617.939479, k))\n",
    "    \n",
    "    # добавляем пересечение нуля\n",
    "    out.append(set_binary(np.min(zcr), 0.022417 , k))\n",
    "    \n",
    "    #добавляем среднее всех Частот цветности (по умолчанию 12 баков цветности)\n",
    "    chroma_stft = np.min(list(map(np.min, chroma_stft)))\n",
    "    out.append(set_binary(chroma_stft, 0.003046, k))\n",
    "    \n",
    "    #Возвращаем получившийся список размерностью (9,)\n",
    "    return out\n",
    "\n",
    "# Новая функция вывода результата на экран для поиска закономерностей по классам\n",
    "def features_info(index_list, k=1):\n",
    "    print('Таблица распределений', index_list)\n",
    "    index_list = data.query(index_list).index\n",
    "    lst = []\n",
    "    for i in index_list:\n",
    "        y, sr = librosa.load(data.loc[i,'original_path'])\n",
    "        lst.append(get_features(y, sr, k))\n",
    "    lst = pd.DataFrame(lst)\n",
    "    display(lst.describe())\n",
    "    print()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Таблица распределений cls == 0\n"
     ]
    },
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       "      <th>count</th>\n",
       "      <td>60.000000</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>60.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.650000</td>\n",
       "      <td>0.533333</td>\n",
       "      <td>0.583333</td>\n",
       "      <td>0.466667</td>\n",
       "      <td>0.516667</td>\n",
       "      <td>0.550000</td>\n",
       "      <td>0.533333</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.750000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.480995</td>\n",
       "      <td>0.503098</td>\n",
       "      <td>0.497167</td>\n",
       "      <td>0.503098</td>\n",
       "      <td>0.503939</td>\n",
       "      <td>0.501692</td>\n",
       "      <td>0.503098</td>\n",
       "      <td>0.504219</td>\n",
       "      <td>0.436667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.750000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
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      "text/plain": [
       "               0          1          2          3          4          5  \\\n",
       "count  60.000000  60.000000  60.000000  60.000000  60.000000  60.000000   \n",
       "mean    0.650000   0.533333   0.583333   0.466667   0.516667   0.550000   \n",
       "std     0.480995   0.503098   0.497167   0.503098   0.503939   0.501692   \n",
       "min     0.000000   0.000000   0.000000   0.000000   0.000000   0.000000   \n",
       "25%     0.000000   0.000000   0.000000   0.000000   0.000000   0.000000   \n",
       "50%     1.000000   1.000000   1.000000   0.000000   1.000000   1.000000   \n",
       "75%     1.000000   1.000000   1.000000   1.000000   1.000000   1.000000   \n",
       "max     1.000000   1.000000   1.000000   1.000000   1.000000   1.000000   \n",
       "\n",
       "               6          7          8  \n",
       "count  60.000000  60.000000  60.000000  \n",
       "mean    0.533333   0.500000   0.750000  \n",
       "std     0.503098   0.504219   0.436667  \n",
       "min     0.000000   0.000000   0.000000  \n",
       "25%     0.000000   0.000000   0.750000  \n",
       "50%     1.000000   0.500000   1.000000  \n",
       "75%     1.000000   1.000000   1.000000  \n",
       "max     1.000000   1.000000   1.000000  "
      ]
     },
     "metadata": {},
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    },
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Таблица распределений cls == 1\n"
     ]
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       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>403.000000</td>\n",
       "      <td>403.000000</td>\n",
       "      <td>403.000000</td>\n",
       "      <td>403.000000</td>\n",
       "      <td>403.000000</td>\n",
       "      <td>403.000000</td>\n",
       "      <td>403.000000</td>\n",
       "      <td>403.000000</td>\n",
       "      <td>403.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.749380</td>\n",
       "      <td>0.833747</td>\n",
       "      <td>0.908189</td>\n",
       "      <td>0.652605</td>\n",
       "      <td>0.265509</td>\n",
       "      <td>0.789082</td>\n",
       "      <td>0.972705</td>\n",
       "      <td>0.645161</td>\n",
       "      <td>0.992556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.433909</td>\n",
       "      <td>0.372770</td>\n",
       "      <td>0.289118</td>\n",
       "      <td>0.476734</td>\n",
       "      <td>0.442153</td>\n",
       "      <td>0.408467</td>\n",
       "      <td>0.163145</td>\n",
       "      <td>0.479059</td>\n",
       "      <td>0.086065</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.500000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                0           1           2           3           4           5  \\\n",
       "count  403.000000  403.000000  403.000000  403.000000  403.000000  403.000000   \n",
       "mean     0.749380    0.833747    0.908189    0.652605    0.265509    0.789082   \n",
       "std      0.433909    0.372770    0.289118    0.476734    0.442153    0.408467   \n",
       "min      0.000000    0.000000    0.000000    0.000000    0.000000    0.000000   \n",
       "25%      0.500000    1.000000    1.000000    0.000000    0.000000    1.000000   \n",
       "50%      1.000000    1.000000    1.000000    1.000000    0.000000    1.000000   \n",
       "75%      1.000000    1.000000    1.000000    1.000000    1.000000    1.000000   \n",
       "max      1.000000    1.000000    1.000000    1.000000    1.000000    1.000000   \n",
       "\n",
       "                6           7           8  \n",
       "count  403.000000  403.000000  403.000000  \n",
       "mean     0.972705    0.645161    0.992556  \n",
       "std      0.163145    0.479059    0.086065  \n",
       "min      0.000000    0.000000    0.000000  \n",
       "25%      1.000000    0.000000    1.000000  \n",
       "50%      1.000000    1.000000    1.000000  \n",
       "75%      1.000000    1.000000    1.000000  \n",
       "max      1.000000    1.000000    1.000000  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "CPU times: total: 6min 56s\n",
      "Wall time: 3min 52s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "#@title Бинарные значения без смещения промежутка между классами.\n",
    "features_info('cls == 0', 1)\n",
    "features_info('cls == 1', 1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Исходя из этих двух таблиц мы видим, что нули (Ложные вызовы) часто определяются как единицы (Аварии). Ложные вызовы определяются верно, в лучшем случае, на 50%. Бинарный метод без смещения относит большинтсво в \"Аварии\"."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Значение равно удаленного промежутка между классами не идельно - классы имеют разный диапозон значений. \"Ложные вызовы\" попадают в категорию единиц, а \"Аварии\" в нули. Нужно сформировать такое промежуток, которое будет больше соответствовать диапозону значений этих двух групп. Для этого создадим смещение и найдем его лучшее значние для каждого признака эмпирическим путем."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Таблица распределений cls == 0\n"
     ]
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       "      <th>mean</th>\n",
       "      <td>0.766667</td>\n",
       "      <td>0.733333</td>\n",
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       "      <td>0.783333</td>\n",
       "      <td>0.800000</td>\n",
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       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.426522</td>\n",
       "      <td>0.445948</td>\n",
       "      <td>0.462125</td>\n",
       "      <td>0.278718</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.129099</td>\n",
       "      <td>0.480995</td>\n",
       "      <td>0.415450</td>\n",
       "      <td>0.403376</td>\n",
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       "    <tr>\n",
       "      <th>min</th>\n",
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       "      <td>0.000000</td>\n",
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       "      <td>1.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.0</td>\n",
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       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
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       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
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       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
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       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
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       "               0          1          2          3     4          5          6  \\\n",
       "count  60.000000  60.000000  60.000000  60.000000  60.0  60.000000  60.000000   \n",
       "mean    0.766667   0.733333   0.700000   0.916667   1.0   0.983333   0.650000   \n",
       "std     0.426522   0.445948   0.462125   0.278718   0.0   0.129099   0.480995   \n",
       "min     0.000000   0.000000   0.000000   0.000000   1.0   0.000000   0.000000   \n",
       "25%     1.000000   0.000000   0.000000   1.000000   1.0   1.000000   0.000000   \n",
       "50%     1.000000   1.000000   1.000000   1.000000   1.0   1.000000   1.000000   \n",
       "75%     1.000000   1.000000   1.000000   1.000000   1.0   1.000000   1.000000   \n",
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       "\n",
       "               7          8  \n",
       "count  60.000000  60.000000  \n",
       "mean    0.783333   0.800000  \n",
       "std     0.415450   0.403376  \n",
       "min     0.000000   0.000000  \n",
       "25%     1.000000   1.000000  \n",
       "50%     1.000000   1.000000  \n",
       "75%     1.000000   1.000000  \n",
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     "text": [
      "\n",
      "Таблица распределений cls == 1\n"
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       "      <th>mean</th>\n",
       "      <td>0.955335</td>\n",
       "      <td>0.965261</td>\n",
       "      <td>0.957816</td>\n",
       "      <td>0.990074</td>\n",
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       "      <td>0.985112</td>\n",
       "      <td>0.975186</td>\n",
       "      <td>0.997519</td>\n",
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       "      <th>std</th>\n",
       "      <td>0.206824</td>\n",
       "      <td>0.183347</td>\n",
       "      <td>0.201258</td>\n",
       "      <td>0.099255</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.049814</td>\n",
       "      <td>0.121257</td>\n",
       "      <td>0.155751</td>\n",
       "      <td>0.049814</td>\n",
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       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>1.0</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
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       "      <td>1.000000</td>\n",
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       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
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       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
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       "      <th>max</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
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       "                0           1           2           3      4           5  \\\n",
       "count  403.000000  403.000000  403.000000  403.000000  403.0  403.000000   \n",
       "mean     0.955335    0.965261    0.957816    0.990074    1.0    0.997519   \n",
       "std      0.206824    0.183347    0.201258    0.099255    0.0    0.049814   \n",
       "min      0.000000    0.000000    0.000000    0.000000    1.0    0.000000   \n",
       "25%      1.000000    1.000000    1.000000    1.000000    1.0    1.000000   \n",
       "50%      1.000000    1.000000    1.000000    1.000000    1.0    1.000000   \n",
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       "max      1.000000    1.000000    1.000000    1.000000    1.0    1.000000   \n",
       "\n",
       "                6           7           8  \n",
       "count  403.000000  403.000000  403.000000  \n",
       "mean     0.985112    0.975186    0.997519  \n",
       "std      0.121257    0.155751    0.049814  \n",
       "min      0.000000    0.000000    0.000000  \n",
       "25%      1.000000    1.000000    1.000000  \n",
       "50%      1.000000    1.000000    1.000000  \n",
       "75%      1.000000    1.000000    1.000000  \n",
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     "metadata": {},
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "CPU times: total: 6min 32s\n",
      "Wall time: 3min 54s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "#@title Смещение разделительной границы на 75% в пользу класса 1. Класс Аварии\n",
    "features_info('cls == 0', 1.75)\n",
    "features_info('cls == 1', 1.75)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Таблица распределений cls == 0\n"
     ]
    },
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>60.000000</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>60.0</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>60.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.700000</td>\n",
       "      <td>0.716667</td>\n",
       "      <td>0.683333</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.700000</td>\n",
       "      <td>0.633333</td>\n",
       "      <td>0.700000</td>\n",
       "      <td>0.766667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.462125</td>\n",
       "      <td>0.454420</td>\n",
       "      <td>0.469102</td>\n",
       "      <td>0.475383</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.462125</td>\n",
       "      <td>0.485961</td>\n",
       "      <td>0.462125</td>\n",
       "      <td>0.426522</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               0          1          2          3     4          5          6  \\\n",
       "count  60.000000  60.000000  60.000000  60.000000  60.0  60.000000  60.000000   \n",
       "mean    0.700000   0.716667   0.683333   0.666667   1.0   0.700000   0.633333   \n",
       "std     0.462125   0.454420   0.469102   0.475383   0.0   0.462125   0.485961   \n",
       "min     0.000000   0.000000   0.000000   0.000000   1.0   0.000000   0.000000   \n",
       "25%     0.000000   0.000000   0.000000   0.000000   1.0   0.000000   0.000000   \n",
       "50%     1.000000   1.000000   1.000000   1.000000   1.0   1.000000   1.000000   \n",
       "75%     1.000000   1.000000   1.000000   1.000000   1.0   1.000000   1.000000   \n",
       "max     1.000000   1.000000   1.000000   1.000000   1.0   1.000000   1.000000   \n",
       "\n",
       "               7          8  \n",
       "count  60.000000  60.000000  \n",
       "mean    0.700000   0.766667  \n",
       "std     0.462125   0.426522  \n",
       "min     0.000000   0.000000  \n",
       "25%     0.000000   1.000000  \n",
       "50%     1.000000   1.000000  \n",
       "75%     1.000000   1.000000  \n",
       "max     1.000000   1.000000  "
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Таблица распределений cls == 1\n"
     ]
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       "      <th>mean</th>\n",
       "      <td>0.935484</td>\n",
       "      <td>0.947891</td>\n",
       "      <td>0.950372</td>\n",
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       "      <th>std</th>\n",
       "      <td>0.245975</td>\n",
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       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
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       "      <td>1.000000</td>\n",
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       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>1.000000</td>\n",
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       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
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       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
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       "    <tr>\n",
       "      <th>max</th>\n",
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       "      <td>1.000000</td>\n",
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       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
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       "                0           1           2           3      4           5  \\\n",
       "count  403.000000  403.000000  403.000000  403.000000  403.0  403.000000   \n",
       "mean     0.935484    0.947891    0.950372    0.990074    1.0    0.987593   \n",
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       "25%      1.000000    1.000000    1.000000    1.000000    1.0    1.000000   \n",
       "50%      1.000000    1.000000    1.000000    1.000000    1.0    1.000000   \n",
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       "\n",
       "                6           7           8  \n",
       "count  403.000000  403.000000  403.000000  \n",
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     "text": [
      "\n",
      "CPU times: total: 6min 34s\n",
      "Wall time: 3min 54s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "#@title Смещение разделительной границы на 50% в пользу класса 1. Класс Аварии\n",
    "features_info('cls == 0', 1.5)\n",
    "features_info('cls == 1', 1.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Таблица распределений cls == 0\n"
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       "\n",
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      "\n",
      "Таблица распределений cls == 1\n"
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       "      <td>0.972705</td>\n",
       "      <td>0.995037</td>\n",
       "      <td>0.972705</td>\n",
       "      <td>0.977667</td>\n",
       "      <td>0.853598</td>\n",
       "      <td>0.997519</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.361250</td>\n",
       "      <td>0.285574</td>\n",
       "      <td>0.236952</td>\n",
       "      <td>0.163145</td>\n",
       "      <td>0.070359</td>\n",
       "      <td>0.163145</td>\n",
       "      <td>0.147946</td>\n",
       "      <td>0.353948</td>\n",
       "      <td>0.049814</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                0           1           2           3           4           5  \\\n",
       "count  403.000000  403.000000  403.000000  403.000000  403.000000  403.000000   \n",
       "mean     0.846154    0.910670    0.940447    0.972705    0.995037    0.972705   \n",
       "std      0.361250    0.285574    0.236952    0.163145    0.070359    0.163145   \n",
       "min      0.000000    0.000000    0.000000    0.000000    0.000000    0.000000   \n",
       "25%      1.000000    1.000000    1.000000    1.000000    1.000000    1.000000   \n",
       "50%      1.000000    1.000000    1.000000    1.000000    1.000000    1.000000   \n",
       "75%      1.000000    1.000000    1.000000    1.000000    1.000000    1.000000   \n",
       "max      1.000000    1.000000    1.000000    1.000000    1.000000    1.000000   \n",
       "\n",
       "                6           7           8  \n",
       "count  403.000000  403.000000  403.000000  \n",
       "mean     0.977667    0.853598    0.997519  \n",
       "std      0.147946    0.353948    0.049814  \n",
       "min      0.000000    0.000000    0.000000  \n",
       "25%      1.000000    1.000000    1.000000  \n",
       "50%      1.000000    1.000000    1.000000  \n",
       "75%      1.000000    1.000000    1.000000  \n",
       "max      1.000000    1.000000    1.000000  "
      ]
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     "text": [
      "\n",
      "CPU times: total: 6min 16s\n",
      "Wall time: 3min 55s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "#@title Смещение разделительной границы на 25% в пользу класса 1. Класс Аварии\n",
    "features_info('cls == 0', 1.25)\n",
    "features_info('cls == 1', 1.25)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Таблица распределений cls == 0\n"
     ]
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       "      <th>mean</th>\n",
       "      <td>0.633333</td>\n",
       "      <td>0.483333</td>\n",
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       "      <td>0.133333</td>\n",
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       "      <th>std</th>\n",
       "      <td>0.485961</td>\n",
       "      <td>0.503939</td>\n",
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       "      <td>0.342803</td>\n",
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       "    <tr>\n",
       "      <th>min</th>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
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       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>1.000000</td>\n",
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       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
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       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
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       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
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       "               0          1          2          3          4          5  \\\n",
       "count  60.000000  60.000000  60.000000  60.000000  60.000000  60.000000   \n",
       "mean    0.633333   0.483333   0.483333   0.133333   0.166667   0.066667   \n",
       "std     0.485961   0.503939   0.503939   0.342803   0.375823   0.251549   \n",
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       "50%     1.000000   0.000000   0.000000   0.000000   0.000000   0.000000   \n",
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       "\n",
       "               6          7          8  \n",
       "count  60.000000  60.000000  60.000000  \n",
       "mean    0.366667   0.166667   0.716667  \n",
       "std     0.485961   0.375823   0.454420  \n",
       "min     0.000000   0.000000   0.000000  \n",
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       "50%     0.000000   0.000000   1.000000  \n",
       "75%     1.000000   0.000000   1.000000  \n",
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      "\n",
      "Таблица распределений cls == 1\n"
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       "      <td>0.647643</td>\n",
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       "      <td>0.322581</td>\n",
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       "      <td>0.124069</td>\n",
       "      <td>0.526055</td>\n",
       "      <td>0.441687</td>\n",
       "      <td>0.987593</td>\n",
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       "      <th>std</th>\n",
       "      <td>0.476734</td>\n",
       "      <td>0.478298</td>\n",
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       "      <td>0.468045</td>\n",
       "      <td>0.147946</td>\n",
       "      <td>0.330071</td>\n",
       "      <td>0.499941</td>\n",
       "      <td>0.497205</td>\n",
       "      <td>0.110831</td>\n",
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       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "    <tr>\n",
       "      <th>25%</th>\n",
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       "      <td>1.000000</td>\n",
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       "      <td>0.000000</td>\n",
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       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
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       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
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       "\n",
       "                6           7           8  \n",
       "count  403.000000  403.000000  403.000000  \n",
       "mean     0.526055    0.441687    0.987593  \n",
       "std      0.499941    0.497205    0.110831  \n",
       "min      0.000000    0.000000    0.000000  \n",
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       "50%      1.000000    0.000000    1.000000  \n",
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      "\n",
      "CPU times: total: 6min 34s\n",
      "Wall time: 3min 53s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "#@title Смещение разделительной границы на 25% в пользу класса 0. Класс Ложного вызова\n",
    "features_info('cls == 0', .75)\n",
    "features_info('cls == 1', .75)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Таблица распределений cls == 0\n"
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       "      <td>0.129099</td>\n",
       "      <td>0.129099</td>\n",
       "      <td>0.251549</td>\n",
       "      <td>0.251549</td>\n",
       "      <td>0.469102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
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       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               0          1          2          3          4          5  \\\n",
       "count  60.000000  60.000000  60.000000  60.000000  60.000000  60.000000   \n",
       "mean    0.616667   0.350000   0.366667   0.016667   0.016667   0.016667   \n",
       "std     0.490301   0.480995   0.485961   0.129099   0.129099   0.129099   \n",
       "min     0.000000   0.000000   0.000000   0.000000   0.000000   0.000000   \n",
       "25%     0.000000   0.000000   0.000000   0.000000   0.000000   0.000000   \n",
       "50%     1.000000   0.000000   0.000000   0.000000   0.000000   0.000000   \n",
       "75%     1.000000   1.000000   1.000000   0.000000   0.000000   0.000000   \n",
       "max     1.000000   1.000000   1.000000   1.000000   1.000000   1.000000   \n",
       "\n",
       "               6          7          8  \n",
       "count  60.000000  60.000000  60.000000  \n",
       "mean    0.066667   0.066667   0.683333  \n",
       "std     0.251549   0.251549   0.469102  \n",
       "min     0.000000   0.000000   0.000000  \n",
       "25%     0.000000   0.000000   0.000000  \n",
       "50%     0.000000   0.000000   1.000000  \n",
       "75%     0.000000   0.000000   1.000000  \n",
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    {
     "name": "stdout",
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     "text": [
      "\n",
      "Таблица распределений cls == 1\n"
     ]
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       "      <td>403.000000</td>\n",
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       "      <td>0.585608</td>\n",
       "      <td>0.411911</td>\n",
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       "      <td>0.493229</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
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       "      <th>75%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
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       "    <tr>\n",
       "      <th>max</th>\n",
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       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
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       "count  403.000000  403.000000  403.000000  403.000000  403.000000  403.000000   \n",
       "mean     0.585608    0.411911    0.692308    0.173697    0.007444    0.084367   \n",
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       "\n",
       "                6           7           8  \n",
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     "text": [
      "\n",
      "CPU times: total: 6min 22s\n",
      "Wall time: 3min 52s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "#@title Смещение разделительной границы на 50% в пользу класса 0. Класс Ложного вызова\n",
    "features_info('cls == 0', .5)\n",
    "features_info('cls == 1', .5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Таблица распределений cls == 0\n"
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       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
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       "      <td>1.000000</td>\n",
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       "\n",
       "               7          8  \n",
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      "\n",
      "Таблица распределений cls == 1\n"
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       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                0           1           2           3      4           5  \\\n",
       "count  403.000000  403.000000  403.000000  403.000000  403.0  403.000000   \n",
       "mean     0.543424    0.086849    0.478908    0.111663    0.0    0.076923   \n",
       "std      0.498730    0.281963    0.500176    0.315342    0.0    0.266801   \n",
       "min      0.000000    0.000000    0.000000    0.000000    0.0    0.000000   \n",
       "25%      0.000000    0.000000    0.000000    0.000000    0.0    0.000000   \n",
       "50%      1.000000    0.000000    0.000000    0.000000    0.0    0.000000   \n",
       "75%      1.000000    0.000000    1.000000    0.000000    0.0    0.000000   \n",
       "max      1.000000    1.000000    1.000000    1.000000    0.0    1.000000   \n",
       "\n",
       "                6           7           8  \n",
       "count  403.000000  403.000000  403.000000  \n",
       "mean     0.156328    0.173697    0.967742  \n",
       "std      0.363617    0.379320    0.176904  \n",
       "min      0.000000    0.000000    0.000000  \n",
       "25%      0.000000    0.000000    1.000000  \n",
       "50%      0.000000    0.000000    1.000000  \n",
       "75%      0.000000    0.000000    1.000000  \n",
       "max      1.000000    1.000000    1.000000  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "CPU times: total: 5min 50s\n",
      "Wall time: 3min 53s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "#@title Смещение разделительной границы на 75% в пользу класса 0. Класс Ложного вызова\n",
    "features_info('cls == 0', .25)\n",
    "features_info('cls == 1', .25)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Все прозведенные эксперименты не перечислены."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Теперь можно отфильтровать слабые признаки."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Итоговый набор признаков"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Таблица распределений cls == 0\n"
     ]
    },
    {
     "data": {
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       "      <th>count</th>\n",
       "      <td>60.000000</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>60.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.366667</td>\n",
       "      <td>0.383333</td>\n",
       "      <td>0.083333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.485961</td>\n",
       "      <td>0.490301</td>\n",
       "      <td>0.278718</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
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      "text/plain": [
       "               0          1          2\n",
       "count  60.000000  60.000000  60.000000\n",
       "mean    0.366667   0.383333   0.083333\n",
       "std     0.485961   0.490301   0.278718\n",
       "min     0.000000   0.000000   0.000000\n",
       "25%     0.000000   0.000000   0.000000\n",
       "50%     0.000000   0.000000   0.000000\n",
       "75%     1.000000   1.000000   0.000000\n",
       "max     1.000000   1.000000   1.000000"
      ]
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     "metadata": {},
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Таблица распределений cls == 1\n"
     ]
    },
    {
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>403.000000</td>\n",
       "      <td>403.000000</td>\n",
       "      <td>403.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.692308</td>\n",
       "      <td>0.918114</td>\n",
       "      <td>0.863524</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.462112</td>\n",
       "      <td>0.274532</td>\n",
       "      <td>0.343720</td>\n",
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       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <th>25%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
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       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
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       "                0           1           2\n",
       "count  403.000000  403.000000  403.000000\n",
       "mean     0.692308    0.918114    0.863524\n",
       "std      0.462112    0.274532    0.343720\n",
       "min      0.000000    0.000000    0.000000\n",
       "25%      0.000000    1.000000    1.000000\n",
       "50%      1.000000    1.000000    1.000000\n",
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     "text": [
      "\n",
      "CPU times: total: 4min 16s\n",
      "Wall time: 2min 6s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "#@title Новая функция параметризации аудио\n",
    "def get_features(y, sr, binary_out=False):\n",
    "\n",
    "    #Получаем различные параметры аудио\n",
    "    rmse = librosa.feature.rms(y=y) # Среднеквадратичная амплитуда\n",
    "    rolloff = librosa.feature.spectral_rolloff(y=y, sr=sr) # Cреднее спектрального спада частоты\n",
    "    chroma_stft = librosa.feature.chroma_stft(y=y, sr=sr) # Частота цветности (по умолчанию 12 баков цветности)\n",
    "\n",
    "    # конвертация значения в бинарный вариант по среднему значению и смещению k\n",
    "    set_binary = lambda x, mean, k=1.0: 1 if x < mean*k else 0\n",
    "    r_set_binary = lambda x, mean, k=1.0: 1 if x > mean*k else 0\n",
    "\n",
    "    #Добавляем все параметры в один список\n",
    "    out = [] # создаем пустой список\n",
    "    # добавляем среднеквадратичную амплитуду\n",
    "    # 0\n",
    "    if binary_out: out.append(set_binary(np.median(rmse), 0.059449, .5))\n",
    "    else: out.append(np.median(rmse))\n",
    "    # добавляем спектральный спад частоты\n",
    "    # 1\n",
    "    if binary_out: out.append(set_binary(np.min(rolloff), 617.939479, .8))\n",
    "    else: out.append(np.min(rolloff))\n",
    "    # добавляем среднее всех Частот цветности\n",
    "    # 2\n",
    "    chroma_stft = np.min(list(map(np.min, chroma_stft)))\n",
    "    if binary_out: out.append(set_binary(chroma_stft, 0.003046, .02))\n",
    "    else: out.append(chroma_stft)\n",
    "    # возвращаем получившийся список размерностью (3,)\n",
    "    return out\n",
    "\n",
    "# Новая функция вывода результата на экран для поиска закономерностей по классам\n",
    "def features_info(index_list, binary_out=False):\n",
    "    print('Таблица распределений', index_list)\n",
    "    index_list = data.query(index_list).index\n",
    "    lst = []\n",
    "    for i in index_list:\n",
    "        y, sr = librosa.load(data.loc[i,'original_path'])\n",
    "        lst.append(get_features(y, sr, binary_out=binary_out))\n",
    "    lst = pd.DataFrame(lst)\n",
    "    display(lst.describe())\n",
    "    print()\n",
    "\n",
    "features_info('cls == 0', binary_out=True)\n",
    "features_info('cls == 1', binary_out=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Как мы видим, только цветность частот (Признак - 2) имеет верное для групп рапределение 25%, 50%, 75%. В 0 и 1 признаках часто попадают ложные результаты."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Простая модель кластеризации на основе цветности частот - лучшего признака\n",
    "\n",
    "Создадим простую бинарную модель на основе одного признака"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ложный вызов или false.\n"
     ]
    }
   ],
   "source": [
    "easy_model = lambda y, sr: 1 if np.min(list(map(np.min, librosa.feature.chroma_stft(y=y, sr=sr)))) < 0.003046*.02 else 0\n",
    "# Пример\n",
    "y,sr = librosa.load('calls\\\\false\\\\false (2).mp3')\n",
    "if easy_model(y,sr) == 0: print('Ложный вызов или false.')\n",
    "else: print('Авария или true.')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Добавим Predict модели их сигналам в таблицу и посчитаем сколько совпадет."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "id": "3xkuhvMwEAaQ",
    "outputId": "30ce2151-d65d-433f-f6a5-9f2e4aba66f0"
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>label</th>\n",
       "      <th>cls</th>\n",
       "      <th>id</th>\n",
       "      <th>sample</th>\n",
       "      <th>original_duration</th>\n",
       "      <th>segments_20sec</th>\n",
       "      <th>segment_type</th>\n",
       "      <th>segment_number</th>\n",
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       "      <th>comment</th>\n",
       "      <th>path</th>\n",
       "      <th>count</th>\n",
       "      <th>original_dir_cls</th>\n",
       "      <th>predict</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
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       "      <td>dataset\\train\\false\\false (2) id-90.mp3</td>\n",
       "      <td>23</td>\n",
       "      <td>false</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
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       "      <td>calls\\false\\false (2).mp3</td>\n",
       "      <td>augs-- gen repeat mx2y</td>\n",
       "      <td>dataset\\train\\false\\false (2) id-94.mp3</td>\n",
       "      <td>23</td>\n",
       "      <td>false</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>false (2)</td>\n",
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       "      <td>98</td>\n",
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       "      <td>0</td>\n",
       "      <td>19</td>\n",
       "      <td>calls\\false\\false (2).mp3</td>\n",
       "      <td>augs-- gen repeat high_hz</td>\n",
       "      <td>dataset\\train\\false\\false (2) id-98.mp3</td>\n",
       "      <td>23</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>false (2)</td>\n",
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       "      <td>102</td>\n",
       "      <td>train</td>\n",
       "      <td>19</td>\n",
       "      <td>0</td>\n",
       "      <td>full_audio</td>\n",
       "      <td>0</td>\n",
       "      <td>19</td>\n",
       "      <td>0</td>\n",
       "      <td>19</td>\n",
       "      <td>calls\\false\\false (2).mp3</td>\n",
       "      <td>augs-- gen repeat mn2y</td>\n",
       "      <td>dataset\\train\\false\\false (2) id-102.mp3</td>\n",
       "      <td>23</td>\n",
       "      <td>false</td>\n",
       "      <td>True</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>false (2)</td>\n",
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       "      <td>106</td>\n",
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       "      <td>0</td>\n",
       "      <td>19</td>\n",
       "      <td>calls\\false\\false (2).mp3</td>\n",
       "      <td>augs-- gen repeat pink_noise</td>\n",
       "      <td>dataset\\train\\false\\false (2) id-106.mp3</td>\n",
       "      <td>23</td>\n",
       "      <td>false</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2482</th>\n",
       "      <td>true (1)</td>\n",
       "      <td>1</td>\n",
       "      <td>6840</td>\n",
       "      <td>test</td>\n",
       "      <td>53</td>\n",
       "      <td>4</td>\n",
       "      <td>segment</td>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>calls\\true\\true (1).mp3</td>\n",
       "      <td>augs--</td>\n",
       "      <td>dataset\\test\\true\\true (1) id-6840.mp3</td>\n",
       "      <td>1</td>\n",
       "      <td>true</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2483</th>\n",
       "      <td>true (23)</td>\n",
       "      <td>1</td>\n",
       "      <td>6876</td>\n",
       "      <td>test</td>\n",
       "      <td>33</td>\n",
       "      <td>2</td>\n",
       "      <td>segment</td>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>calls\\true\\true (23).mp3</td>\n",
       "      <td>augs--</td>\n",
       "      <td>dataset\\test\\true\\true (23) id-6876.mp3</td>\n",
       "      <td>1</td>\n",
       "      <td>true</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2484</th>\n",
       "      <td>true (27)</td>\n",
       "      <td>1</td>\n",
       "      <td>6892</td>\n",
       "      <td>test</td>\n",
       "      <td>56</td>\n",
       "      <td>4</td>\n",
       "      <td>segment</td>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>calls\\true\\true (27).mp3</td>\n",
       "      <td>augs--</td>\n",
       "      <td>dataset\\test\\true\\true (27) id-6892.mp3</td>\n",
       "      <td>1</td>\n",
       "      <td>true</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2485</th>\n",
       "      <td>true (36)</td>\n",
       "      <td>1</td>\n",
       "      <td>6926</td>\n",
       "      <td>test</td>\n",
       "      <td>58</td>\n",
       "      <td>4</td>\n",
       "      <td>segment</td>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>calls\\true\\true (36).mp3</td>\n",
       "      <td>augs--</td>\n",
       "      <td>dataset\\test\\true\\true (36) id-6926.mp3</td>\n",
       "      <td>1</td>\n",
       "      <td>true</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2486</th>\n",
       "      <td>true (40)</td>\n",
       "      <td>1</td>\n",
       "      <td>6940</td>\n",
       "      <td>test</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>full_audio</td>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "      <td>calls\\true\\true (40).mp3</td>\n",
       "      <td>augs--</td>\n",
       "      <td>dataset\\test\\true\\true (40) id-6940.mp3</td>\n",
       "      <td>1</td>\n",
       "      <td>true</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2487 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          label  cls    id sample  original_duration  segments_20sec  \\\n",
       "0     false (2)    0    90  train                 19               0   \n",
       "1     false (2)    0    94  train                 19               0   \n",
       "2     false (2)    0    98  train                 19               0   \n",
       "3     false (2)    0   102  train                 19               0   \n",
       "4     false (2)    0   106  train                 19               0   \n",
       "...         ...  ...   ...    ...                ...             ...   \n",
       "2482   true (1)    1  6840   test                 53               4   \n",
       "2483  true (23)    1  6876   test                 33               2   \n",
       "2484  true (27)    1  6892   test                 56               4   \n",
       "2485  true (36)    1  6926   test                 58               4   \n",
       "2486  true (40)    1  6940   test                 16               0   \n",
       "\n",
       "     segment_type  segment_number  duration  start_sec  stop_sec  \\\n",
       "0      full_audio               0        19          0        19   \n",
       "1      full_audio               0        19          0        19   \n",
       "2      full_audio               0        19          0        19   \n",
       "3      full_audio               0        19          0        19   \n",
       "4      full_audio               0        19          0        19   \n",
       "...           ...             ...       ...        ...       ...   \n",
       "2482      segment               0        20          0        20   \n",
       "2483      segment               0        20          0        20   \n",
       "2484      segment               0        20          0        20   \n",
       "2485      segment               0        20          0        20   \n",
       "2486   full_audio               0        16          0        16   \n",
       "\n",
       "                  original_path                       comment  \\\n",
       "0     calls\\false\\false (2).mp3        augs-- gen repeat stft   \n",
       "1     calls\\false\\false (2).mp3        augs-- gen repeat mx2y   \n",
       "2     calls\\false\\false (2).mp3     augs-- gen repeat high_hz   \n",
       "3     calls\\false\\false (2).mp3        augs-- gen repeat mn2y   \n",
       "4     calls\\false\\false (2).mp3  augs-- gen repeat pink_noise   \n",
       "...                         ...                           ...   \n",
       "2482    calls\\true\\true (1).mp3                       augs--    \n",
       "2483   calls\\true\\true (23).mp3                       augs--    \n",
       "2484   calls\\true\\true (27).mp3                       augs--    \n",
       "2485   calls\\true\\true (36).mp3                       augs--    \n",
       "2486   calls\\true\\true (40).mp3                       augs--    \n",
       "\n",
       "                                          path  count original_dir_cls  \\\n",
       "0      dataset\\train\\false\\false (2) id-90.mp3     23            false   \n",
       "1      dataset\\train\\false\\false (2) id-94.mp3     23            false   \n",
       "2      dataset\\train\\false\\false (2) id-98.mp3     23            false   \n",
       "3     dataset\\train\\false\\false (2) id-102.mp3     23            false   \n",
       "4     dataset\\train\\false\\false (2) id-106.mp3     23            false   \n",
       "...                                        ...    ...              ...   \n",
       "2482    dataset\\test\\true\\true (1) id-6840.mp3      1             true   \n",
       "2483   dataset\\test\\true\\true (23) id-6876.mp3      1             true   \n",
       "2484   dataset\\test\\true\\true (27) id-6892.mp3      1             true   \n",
       "2485   dataset\\test\\true\\true (36) id-6926.mp3      1             true   \n",
       "2486   dataset\\test\\true\\true (40) id-6940.mp3      1             true   \n",
       "\n",
       "      predict  \n",
       "0        True  \n",
       "1        True  \n",
       "2        True  \n",
       "3        True  \n",
       "4        True  \n",
       "...       ...  \n",
       "2482     True  \n",
       "2483     True  \n",
       "2484     True  \n",
       "2485     True  \n",
       "2486     True  \n",
       "\n",
       "[2487 rows x 17 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#@title Таблица аудио файлов с распознаниями модели (predict)\n",
    "data = pd.read_csv('revshift_20.csv')\n",
    "def predict(original_path, cls):\n",
    "    y, sr = librosa.load(original_path)\n",
    "    return easy_model(y,sr) == cls\n",
    "lst=[]\n",
    "for i in range(len(data)):\n",
    "    lst.append(predict(data.loc[i,'original_path'], data.loc[i,'cls']))\n",
    "data['predict'] = lst\n",
    "display(data)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "id": "smTulQgFEAaQ",
    "outputId": "5cc6305e-5254-4c78-9bef-6b3846625e2b"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "predict\n",
       "True     2153\n",
       "False     334\n",
       "Name: count, dtype: int64"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#title True - верные ответы. False - ошибочные распознания\n",
    "display(data.value_counts('predict'))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "id": "kONPtRpmEAaQ",
    "outputId": "943947bd-665f-4887-ab9e-e45e4bda53ec"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Число верных ответов:  0.87\n"
     ]
    }
   ],
   "source": [
    "print('Число верных ответов: ',round(2153/(334+2153), 2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "original_dir_cls\n",
       "Ложь_разговоры              173\n",
       "Истина_посторонние_звуки     45\n",
       "Истина_тишина                43\n",
       "Истина_разговоры             42\n",
       "true                         30\n",
       "Ложь_посторонние_звуки        1\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Группировка ошибок\n",
    "data.query('predict == False').value_counts('original_dir_cls')"
   ]
  }
 ],
 "metadata": {
  "accelerator": "GPU",
  "colab": {
   "collapsed_sections": [
    "SNKV37LxEAaP"
   ],
   "gpuType": "T4",
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  },
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
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  "language_info": {
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   "file_extension": ".py",
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