{
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  {
   "cell_type": "markdown",
   "id": "6af36011-9a8c-4dc1-85c5-910263c2d25e",
   "metadata": {},
   "source": [
    "Базовая нейросеть"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "2115d6e8-d6d0-4025-9ee0-32c46b20fe45",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       1.00      1.00      1.00        10\n",
      "           1       1.00      1.00      1.00         9\n",
      "           2       1.00      1.00      1.00        11\n",
      "\n",
      "    accuracy                           1.00        30\n",
      "   macro avg       1.00      1.00      1.00        30\n",
      "weighted avg       1.00      1.00      1.00        30\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from sklearn.datasets import load_iris\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.neural_network import MLPClassifier\n",
    "from sklearn.metrics import classification_report\n",
    "\n",
    "# Загрузка и разбиение данных\n",
    "X, y = load_iris(return_X_y=True)\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n",
    "\n",
    "# Нормализация данных\n",
    "scaler = StandardScaler()\n",
    "X_train = scaler.fit_transform(X_train)\n",
    "X_test = scaler.transform(X_test)\n",
    "\n",
    "# Модель MLP — многослойный перцептрон\n",
    "clf = MLPClassifier(hidden_layer_sizes=(10,), activation='relu', max_iter=2500, learning_rate_init=0.001, random_state=42)\n",
    "clf.fit(X_train, y_train)\n",
    "\n",
    "# Отчёт о точности\n",
    "print(classification_report(y_test, clf.predict(X_test)))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "125b3f46-cc81-4341-94f3-9de6dee8aff5",
   "metadata": {},
   "source": [
    "Модель работает очень хорошо и достигла 100% точности на тестовых данных, что является отличным результатом для этого набора данных."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8d032afd-fc98-48cd-9ec8-7a742fcf8a50",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "62c7892d-b296-4f0c-8886-514b4ee2bad6",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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