practica4/week4_scikit_learn.ipynb

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{
"cells": [
{
"cell_type": "markdown",
"id": "8f78caf9-5e52-4f74-b7c7-aa11f4a18cd1",
"metadata": {},
"source": [
"Задание 4: Методы многоклассовой классификации (Multiclass methods)(https://scikit-learn.org/stable/auto_examples/multiclass/plot_multiclass_overview.html)\n",
"Цель: \n",
"Сравнить стратегии многоклассовой классификации `OneVsRestClassifier`, `OneVsOneClassifier`, `OutputCodeClassifier` на двух типах данных:\n",
"1. Сгенерированный датасет (через `make_classification`)\n",
"2. Внешний датасет (WINE QUALITY)\n",
"\n",
"Базовый классификатор `DecisionTreeClassifier`.\n"
]
},
{
"cell_type": "code",
"execution_count": 24,
"id": "b3a7e582-be9d-4fec-b3ad-8f94130ec8ef",
"metadata": {},
"outputs": [],
"source": [
"#ИМПОРТ БИБЛИОТЕК\n",
"import numpy as np\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"from sklearn.datasets import make_classification, fetch_openml\n",
"from sklearn.model_selection import RepeatedStratifiedKFold, cross_validate\n",
"from sklearn.multiclass import OneVsOneClassifier, OneVsRestClassifier, OutputCodeClassifier\n",
"from sklearn.tree import DecisionTreeClassifier\n"
]
},
{
"cell_type": "markdown",
"id": "598a0f35-0a55-4d49-96f4-c9368f62e519",
"metadata": {},
"source": [
"1. Сгенерированный датасет (make_classification)\n",
"\n",
"Создадим 500 образцов, 5 признаков, 4 класса."
]
},
{
"cell_type": "code",
"execution_count": 25,
"id": "35d79e7b-bf4b-4a45-a90a-52a130160c85",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Распределение классов в сгенерированном датасете:\n",
"0 124\n",
"1 124\n",
"2 127\n",
"3 125\n",
"Name: count, dtype: int64\n",
"Размер: (500, 5)\n"
]
}
],
"source": [
"X_gen, y_gen = make_classification(\n",
" n_samples=500,\n",
" n_features=5,\n",
" n_informative=4,\n",
" n_redundant=1,\n",
" n_classes=4,\n",
" n_clusters_per_class=1,\n",
" random_state=42\n",
")\n",
"\n",
"print(\"Распределение классов в сгенерированном датасете:\")\n",
"print(pd.Series(y_gen).value_counts().sort_index())\n",
"print(f\"Размер: {X_gen.shape}\")"
]
},
{
"cell_type": "markdown",
"id": "9693f1b4-6c31-400d-8828-17ce0244bb89",
"metadata": {},
"source": [
"1.1. Сравнение стратегий."
]
},
{
"cell_type": "code",
"execution_count": 29,
"id": "1c57153c-b641-49de-ba76-244f27eac5dd",
"metadata": {},
"outputs": [
{
"data": {
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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Средняя точность на сгенерированных данных:\n",
"OneVsOneClassifier 0.763560\n",
"DecisionTreeClassifier 0.753142\n",
"OutputCodeClassifier 0.746769\n",
"OneVsRestClassifier 0.720758\n",
"dtype: float64\n"
]
}
],
"source": [
"#данные 5 раз перемешиваются, и каждый раз разбиваются на 3 части. Итого 15 различных разбиений.\n",
"cv = RepeatedStratifiedKFold(n_splits=3, n_repeats=5, random_state=0)\n",
"\n",
"#Создаются классификаторы\n",
"\n",
"tree = DecisionTreeClassifier(random_state=0) #Она работает за счет разбиения обучающих данных на более мелкие подмножества и фокусирования \n",
"#на наиболее распространенном классе в каждом подмножестве. \n",
"#Повторяя этот процесс, модель может точно классифицировать входные данные на несколько различных классов\n",
"ovo = OneVsOneClassifier(tree)\n",
"#обучается набор бинарных классификаторов, где каждый классификатор обучается различать два класса\n",
"ovr = OneVsRestClassifier(tree)\n",
"#Обучает набор бинарных классификаторов, где каждый классификатор обучается различать один класс от остальных классов\n",
"ecoc = OutputCodeClassifier(tree, code_size=2)\n",
"#Этот метод обучает набор бинарных классификаторов, где каждый классификатор обучается различать определенный набор классов от остальных. \n",
"#Набор классов определяется кодовой книгой, которая генерируется случайным образом в scikit-learn.\n",
"\n",
"#Каждый классификатор прогоняется через 15 разбиений. Для каждого разбиения вычисляется точность.\n",
"results_tree = cross_validate(tree, X_gen, y_gen, cv=cv, n_jobs=2)\n",
"results_ovo = cross_validate(ovo, X_gen, y_gen, cv=cv, n_jobs=2)\n",
"results_ovr = cross_validate(ovr, X_gen, y_gen, cv=cv, n_jobs=2)\n",
"results_ecoc = cross_validate(ecoc, X_gen, y_gen, cv=cv, n_jobs=2)\n",
"\n",
"#Из каждого словаря извлекаются значений точности.\n",
"scores_gen = pd.DataFrame({\n",
" \"DecisionTreeClassifier\": results_tree[\"test_score\"],\n",
" \"OneVsOneClassifier\": results_ovo[\"test_score\"],\n",
" \"OneVsRestClassifier\": results_ovr[\"test_score\"],\n",
" \"OutputCodeClassifier\": results_ecoc[\"test_score\"],\n",
"})\n",
"\n",
"#Построение графика плотности\n",
"ax = scores_gen.plot.kde(legend=True)\n",
"ax.set_xlabel(\"Accuracy score\")\n",
"ax.set_title(\"Сгенерированный датасет: сравнение стратегий\")\n",
"plt.show()\n",
"\n",
"print(\"Средняя точность на сгенерированных данных:\")\n",
"print(scores_gen.mean().sort_values(ascending=False))"
]
},
{
"cell_type": "markdown",
"id": "b40c9a9e-9b4f-40a4-843d-376e427e1e9d",
"metadata": {},
"source": [
"Интерпретация (сгенерированные данные):\n",
"1.OneVsRestClassifier Самый высокий пик, модель очень стабильна. Точность сосредоточена в районе 0.720.73. Вывод: Предсказуемый результат, но средняя точность ниже, чем у других моделей.\n",
"2.DecisionTreeClassifier Средняя стабильность, пик ниже, чем у зеленого графика. Точность, основная масса результатов около 0.740.75. Вывод: Классическое дерево решений показывает умеренные результаты.\n",
"3.OutputCodeClassifier Смещение вправо, пик находится в районе 0.760.77. Вывод: В среднем эта стратегия эффективнее двух предыдущих.\n",
"4.OneVsOneClassifier Самая широкая кривая, высокий разброс. Это единственная стратегия, которая дотягивается до точности 0.900.95. Но она же может показать результат ниже 0.65 Вывод: Самая нестабильная, но потенциально самая мощная модель.\n",
"\n",
"Итоговое сравнение: \n",
"Если нужна надежность: OneVsRest. Если нужна максимальная точность: OneVsOne, но нестабильная. Середнее: OutputCode — высокая точность при неплохой стабильности."
]
},
{
"cell_type": "markdown",
"id": "aebdd663-0bf7-4234-b35a-f0e29d139d70",
"metadata": {},
"source": [
"2. Внешний датасет WINE QUALITY\n"
]
},
{
"cell_type": "code",
"execution_count": 27,
"id": "c9d5e6de-ae5b-4426-8941-7089930d15ff",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"=== Внешний датасет Wine Quality ===\n",
"Распределение классов (после кодирования):\n",
"0 10\n",
"1 53\n",
"2 681\n",
"3 638\n",
"4 199\n",
"5 18\n",
"Name: count, dtype: int64\n",
"Размер признаков: (1599, 11)\n",
"Уникальные классы: [0 1 2 3 4 5]\n"
]
}
],
"source": [
"import pandas as pd\n",
"from sklearn.preprocessing import LabelEncoder\n",
"\n",
"df = pd.read_csv('winequality-red.csv', sep=';')\n",
"\n",
"X_external = df.drop('quality', axis=1)\n",
"y_external = df['quality']\n",
"\n",
"le = LabelEncoder()\n",
"y_external = le.fit_transform(y_external)\n",
"\n",
"print(\"Внешний датасет Wine Quality\")\n",
"print(\"Распределение классов:\")\n",
"print(pd.Series(y_external).value_counts().sort_index())\n",
"print(f\"Размер признаков: {X_external.shape}\")\n",
"print(f\"Уникальные классы: {np.unique(y_external)}\")"
]
},
{
"cell_type": "markdown",
"id": "9af5853a-2f1b-4a98-8ed0-1e5a56b22437",
"metadata": {},
"source": [
"2.1. Сравнение стратегий на Wine\n"
]
},
{
"cell_type": "code",
"execution_count": 30,
"id": "840c2e37-ab63-46c9-9b53-f241ac83e022",
"metadata": {},
"outputs": [
{
"data": {
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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"Средняя точность на Wine Quality:\n",
"OutputCodeClassifier 0.594747\n",
"DecisionTreeClassifier 0.593996\n",
"OneVsOneClassifier 0.592120\n",
"OneVsRestClassifier 0.535835\n",
"dtype: float64\n"
]
}
],
"source": [
"cv = RepeatedStratifiedKFold(n_splits=3, n_repeats=5, random_state=0)\n",
"\n",
"\n",
"tree = DecisionTreeClassifier(random_state=0)\n",
"ovo = OneVsOneClassifier(tree)\n",
"ovr = OneVsRestClassifier(tree)\n",
"ecoc = OutputCodeClassifier(tree, code_size=2)\n",
"\n",
"results_tree_w = cross_validate(tree, X_external, y_external, cv=cv, n_jobs=2)\n",
"results_ovo_w = cross_validate(ovo, X_external, y_external, cv=cv, n_jobs=2)\n",
"results_ovr_w = cross_validate(ovr, X_external, y_external, cv=cv, n_jobs=2)\n",
"results_ecoc_w = cross_validate(ecoc, X_external, y_external, cv=cv, n_jobs=2)\n",
"\n",
"scores_external = pd.DataFrame({\n",
" \"DecisionTreeClassifier\": results_tree_w[\"test_score\"],\n",
" \"OneVsOneClassifier\": results_ovo_w[\"test_score\"],\n",
" \"OneVsRestClassifier\": results_ovr_w[\"test_score\"],\n",
" \"OutputCodeClassifier\": results_ecoc_w[\"test_score\"],\n",
"})\n",
"\n",
"ax = scores_external.plot.kde(legend=True)\n",
"ax.set_xlabel(\"Accuracy score\")\n",
"ax.set_title(\"Wine Quality: сравнение многоклассовых стратегий\")\n",
"plt.show()\n",
"\n",
"print(\"\\nСредняя точность на Wine Quality:\")\n",
"print(scores_external.mean().sort_values(ascending=False))"
]
},
{
"cell_type": "markdown",
"id": "290eea32-9c5b-4630-addf-6ef99793a216",
"metadata": {},
"source": [
"Интерпретация (Wine Quality):\n",
"\n",
"1.OneVsRestClassifier: Худший среди представленных. Пик плотности находится в районе 0.535. Это значительно ниже, чем у других моделей. Модель показывает слабую предсказательную способность для этого набора данных.\n",
"2.DecisionTreeClassifier и OneVsOneClassifier: Результат хороший. Обе стратегии имеют основные пики в диапазоне 0.58 0.59. OneVsOne чуть более собрана, что говорит о чуть меньшей вариативности результатов по сравнению с синей линией.\n",
"3.OutputCodeClassifier: Результат самый высокий потенциал точности, но высокая нестабильность. Кривая сильно растянута вправо (до 0.65+). Это означает, что в некоторых случаях эта стратегия дает лучшую точность, чем все остальные, но ее результаты менее предсказуемы, распределение более пологое.\n",
"\n",
"Итоговое сравнение: \n",
"Победитель по стабильности: OneVsOneClassifier. Он дает стабильно высокую точность около 58-59%. Победитель по пиковой точности: OutputCodeClassifier. Если вам нужен точный результат но с риском разброса данных, стоит выбрать его. OneVsRestClassifier явно не подходит для данной задачи классификации вина с текущими настройками, маленькаая точность."
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.6"
}
},
"nbformat": 4,
"nbformat_minor": 5
}