DeepLearning/Notebooks/Notebook-1.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "5c07721c-e92f-4a4a-aeed-fdbf7753e37f",
   "metadata": {},
   "source": [
    "# Practical-1 (Linear Regression using Deep Neural Network)\n",
    "\n",
    "---\n",
    "\n",
    "Problem Statement: Linear regression by using Deep Neural network: Implement Boston housing price prediction problem by Linear regression using Deep Neural network. Use Boston House price prediction dataset.\n",
    "\n",
    "- Dataset link: https://www.kaggle.com/datasets/fedesoriano/the-boston-houseprice-data\n",
    "- Dataset available in [Datasets](https://git.kska.io/sppu-be-comp-content/DeepLearning/src/branch/main/Datasets/) directory.\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "e062c377-3406-481a-a190-4e72a0e43700",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 1. Import Libraries\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from keras import Input\n",
    "from keras.models import Sequential\n",
    "from keras.layers import Dense"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "b9f56fd5-d8d1-482d-b028-ed29f868b641",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      CRIM    ZN  INDUS  CHAS    NOX     RM   AGE     DIS  RAD    TAX  \\\n",
      "0  0.00632  18.0   2.31     0  0.538  6.575  65.2  4.0900    1  296.0   \n",
      "1  0.02731   0.0   7.07     0  0.469  6.421  78.9  4.9671    2  242.0   \n",
      "2  0.02729   0.0   7.07     0  0.469  7.185  61.1  4.9671    2  242.0   \n",
      "3  0.03237   0.0   2.18     0  0.458  6.998  45.8  6.0622    3  222.0   \n",
      "4  0.06905   0.0   2.18     0  0.458  7.147  54.2  6.0622    3  222.0   \n",
      "\n",
      "   PTRATIO       B  LSTAT  MEDV  \n",
      "0     15.3  396.90   4.98  24.0  \n",
      "1     17.8  396.90   9.14  21.6  \n",
      "2     17.8  392.83   4.03  34.7  \n",
      "3     18.7  394.63   2.94  33.4  \n",
      "4     18.7  396.90   5.33  36.2  \n"
     ]
    }
   ],
   "source": [
    "# 2. Load Dataset\n",
    "data = pd.read_csv('boston.csv')\n",
    "print(data.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "4ddb5fcf",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Shape: (506, 14)\n",
      "\n",
      "Data Types:\n",
      " CRIM       float64\n",
      "ZN         float64\n",
      "INDUS      float64\n",
      "CHAS         int64\n",
      "NOX        float64\n",
      "RM         float64\n",
      "AGE        float64\n",
      "DIS        float64\n",
      "RAD          int64\n",
      "TAX        float64\n",
      "PTRATIO    float64\n",
      "B          float64\n",
      "LSTAT      float64\n",
      "MEDV       float64\n",
      "dtype: object\n",
      "\n",
      "Statistical Summary:\n",
      "              CRIM          ZN       INDUS        CHAS         NOX          RM  \\\n",
      "count  506.000000  506.000000  506.000000  506.000000  506.000000  506.000000   \n",
      "mean     3.613524   11.363636   11.136779    0.069170    0.554695    6.284634   \n",
      "std      8.601545   23.322453    6.860353    0.253994    0.115878    0.702617   \n",
      "min      0.006320    0.000000    0.460000    0.000000    0.385000    3.561000   \n",
      "25%      0.082045    0.000000    5.190000    0.000000    0.449000    5.885500   \n",
      "50%      0.256510    0.000000    9.690000    0.000000    0.538000    6.208500   \n",
      "75%      3.677083   12.500000   18.100000    0.000000    0.624000    6.623500   \n",
      "max     88.976200  100.000000   27.740000    1.000000    0.871000    8.780000   \n",
      "\n",
      "              AGE         DIS         RAD         TAX     PTRATIO           B  \\\n",
      "count  506.000000  506.000000  506.000000  506.000000  506.000000  506.000000   \n",
      "mean    68.574901    3.795043    9.549407  408.237154   18.455534  356.674032   \n",
      "std     28.148861    2.105710    8.707259  168.537116    2.164946   91.294864   \n",
      "min      2.900000    1.129600    1.000000  187.000000   12.600000    0.320000   \n",
      "25%     45.025000    2.100175    4.000000  279.000000   17.400000  375.377500   \n",
      "50%     77.500000    3.207450    5.000000  330.000000   19.050000  391.440000   \n",
      "75%     94.075000    5.188425   24.000000  666.000000   20.200000  396.225000   \n",
      "max    100.000000   12.126500   24.000000  711.000000   22.000000  396.900000   \n",
      "\n",
      "            LSTAT        MEDV  \n",
      "count  506.000000  506.000000  \n",
      "mean    12.653063   22.532806  \n",
      "std      7.141062    9.197104  \n",
      "min      1.730000    5.000000  \n",
      "25%      6.950000   17.025000  \n",
      "50%     11.360000   21.200000  \n",
      "75%     16.955000   25.000000  \n",
      "max     37.970000   50.000000  \n"
     ]
    }
   ],
   "source": [
    "# 3. Exploratory Data Analysis (EDA)\n",
    "print(\"Shape:\", data.shape)          # number of rows and columns\n",
    "print(\"\\nData Types:\\n\", data.dtypes)\n",
    "print(\"\\nStatistical Summary:\\n\", data.describe())  # min, max, mean, std, etc."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "c9861bf6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Missing values per column:\n",
      " CRIM       0\n",
      "ZN         0\n",
      "INDUS      0\n",
      "CHAS       0\n",
      "NOX        0\n",
      "RM         0\n",
      "AGE        0\n",
      "DIS        0\n",
      "RAD        0\n",
      "TAX        0\n",
      "PTRATIO    0\n",
      "B          0\n",
      "LSTAT      0\n",
      "MEDV       0\n",
      "dtype: int64\n",
      "\n",
      "Shape after dropping nulls: (506, 14)\n"
     ]
    }
   ],
   "source": [
    "# 4. Check for Missing Values\n",
    "print(\"Missing values per column:\\n\", data.isnull().sum())\n",
    "\n",
    "# Drop rows with missing values (if any)\n",
    "data = data.dropna()\n",
    "print(\"\\nShape after dropping nulls:\", data.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "630071ad",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1200x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 5. Correlation Heatmap\n",
    "plt.figure(figsize=(12, 8))\n",
    "sns.heatmap(data.corr(), annot=True, fmt=\".2f\", cmap=\"coolwarm\")  # show correlation between all feature pairs\n",
    "plt.title(\"Feature Correlation Heatmap\")\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "8aacb932-8c4c-4c41-b6eb-e15a1407ec8e",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 6. Separate Features and Target\n",
    "X = data.drop('MEDV', axis=1)   # all columns except house price\n",
    "y = data['MEDV']                 # target: median house price"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "5badf20b-570e-4ad0-9269-03786785bada",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 7. Split into Training and Testing Sets\n",
    "# 80% train, 20% test; random_state=42 ensures reproducible split\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "5fd8c147-25ee-47ed-89ce-c0ec4be2cb76",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 8. Feature Scaling (Standardization)\n",
    "scaler = StandardScaler()\n",
    "\n",
    "X_train = scaler.fit_transform(X_train)  # learn mean/std from train, then scale\n",
    "X_test = scaler.transform(X_test)        # apply same mean/std to test (no leakage)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "93f32b6d-d3d2-4222-aa89-3f8778834ce3",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "E0000 00:00:1777811655.703251   61371 cuda_platform.cc:52] failed call to cuInit: INTERNAL: CUDA error: Failed call to cuInit: UNKNOWN ERROR (303)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Model: \"sequential\"</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1mModel: \"sequential\"\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
       "┃<span style=\"font-weight: bold\"> Layer (type)                    </span>┃<span style=\"font-weight: bold\"> Output Shape           </span>┃<span style=\"font-weight: bold\">       Param # </span>┃\n",
       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n",
       "│ dense (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)             │           <span style=\"color: #00af00; text-decoration-color: #00af00\">896</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dense_1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)             │         <span style=\"color: #00af00; text-decoration-color: #00af00\">2,080</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dense_2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>)              │            <span style=\"color: #00af00; text-decoration-color: #00af00\">33</span> │\n",
       "└─────────────────────────────────┴────────────────────────┴───────────────┘\n",
       "</pre>\n"
      ],
      "text/plain": [
       "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
       "┃\u001b[1m \u001b[0m\u001b[1mLayer (type)                   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape          \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m      Param #\u001b[0m\u001b[1m \u001b[0m┃\n",
       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n",
       "│ dense (\u001b[38;5;33mDense\u001b[0m)                   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m)             │           \u001b[38;5;34m896\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dense_1 (\u001b[38;5;33mDense\u001b[0m)                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m)             │         \u001b[38;5;34m2,080\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dense_2 (\u001b[38;5;33mDense\u001b[0m)                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m)              │            \u001b[38;5;34m33\u001b[0m │\n",
       "└─────────────────────────────────┴────────────────────────┴───────────────┘\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Total params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">3,009</span> (11.75 KB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Total params: \u001b[0m\u001b[38;5;34m3,009\u001b[0m (11.75 KB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">3,009</span> (11.75 KB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m3,009\u001b[0m (11.75 KB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Non-trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> (0.00 B)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m0\u001b[0m (0.00 B)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 9. Build the Neural Network Model\n",
    "model = Sequential()\n",
    "model.add(Input(shape=(X_train.shape[1],)))  # input shape = number of features\n",
    "model.add(Dense(64, activation='relu'))       # hidden layer 1: 64 neurons\n",
    "model.add(Dense(32, activation='relu'))       # hidden layer 2: 32 neurons\n",
    "model.add(Dense(1, activation='linear'))      # output layer: single value (house price)\n",
    "\n",
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "7e8143a3-7168-410b-b9d7-a1e51a8f5532",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 10. Compile the Model\n",
    "# adam: adaptive optimizer; mse: standard regression loss; mae: human-readable error metric\n",
    "model.compile(optimizer='adam', loss='mean_squared_error', metrics=['mae'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "1582aaff-59a3-47b0-bbe5-82b5a5687387",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 17ms/step - loss: 610.5962 - mae: 22.8394 - val_loss: 537.2623 - val_mae: 21.6540\n",
      "Epoch 2/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 577.3315 - mae: 22.1306 - val_loss: 507.0261 - val_mae: 20.9802\n",
      "Epoch 3/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 541.5062 - mae: 21.3525 - val_loss: 470.9033 - val_mae: 20.1525\n",
      "Epoch 4/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - loss: 497.0646 - mae: 20.3643 - val_loss: 425.8427 - val_mae: 19.0742\n",
      "Epoch 5/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 442.1519 - mae: 19.0757 - val_loss: 370.1028 - val_mae: 17.6464\n",
      "Epoch 6/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 375.1351 - mae: 17.3437 - val_loss: 304.5605 - val_mae: 15.7780\n",
      "Epoch 7/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 299.6843 - mae: 15.1179 - val_loss: 233.8934 - val_mae: 13.4472\n",
      "Epoch 8/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 224.8353 - mae: 12.5598 - val_loss: 167.9768 - val_mae: 10.9029\n",
      "Epoch 9/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 160.4948 - mae: 10.2109 - val_loss: 117.2404 - val_mae: 8.6551\n",
      "Epoch 10/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 117.9622 - mae: 8.5577 - val_loss: 82.4219 - val_mae: 6.9210\n",
      "Epoch 11/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - loss: 88.8536 - mae: 7.4094 - val_loss: 60.9620 - val_mae: 5.7815\n",
      "Epoch 12/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 68.4757 - mae: 6.5018 - val_loss: 46.2532 - val_mae: 4.9346\n",
      "Epoch 13/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 52.4149 - mae: 5.6845 - val_loss: 36.7712 - val_mae: 4.3159\n",
      "Epoch 14/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - loss: 41.6320 - mae: 5.0033 - val_loss: 31.0411 - val_mae: 3.9518\n",
      "Epoch 15/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - loss: 33.7881 - mae: 4.4823 - val_loss: 28.1426 - val_mae: 3.7665\n",
      "Epoch 16/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 29.2654 - mae: 4.0704 - val_loss: 27.4221 - val_mae: 3.6802\n",
      "Epoch 17/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 8ms/step - loss: 26.4973 - mae: 3.7935 - val_loss: 27.0809 - val_mae: 3.6339\n",
      "Epoch 18/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 8ms/step - loss: 24.3619 - mae: 3.6175 - val_loss: 26.5514 - val_mae: 3.6015\n",
      "Epoch 19/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 8ms/step - loss: 23.0519 - mae: 3.5360 - val_loss: 25.7140 - val_mae: 3.5804\n",
      "Epoch 20/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 8ms/step - loss: 21.8286 - mae: 3.4851 - val_loss: 25.4470 - val_mae: 3.5735\n",
      "Epoch 21/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 8ms/step - loss: 21.2538 - mae: 3.4513 - val_loss: 25.2635 - val_mae: 3.5774\n",
      "Epoch 22/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 20.5376 - mae: 3.3978 - val_loss: 25.0107 - val_mae: 3.5502\n",
      "Epoch 23/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 20.0155 - mae: 3.3162 - val_loss: 25.0198 - val_mae: 3.5340\n",
      "Epoch 24/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 8ms/step - loss: 19.3324 - mae: 3.2491 - val_loss: 24.5048 - val_mae: 3.5220\n",
      "Epoch 25/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 18.9691 - mae: 3.2453 - val_loss: 23.9967 - val_mae: 3.4901\n",
      "Epoch 26/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 18.4649 - mae: 3.2237 - val_loss: 23.9515 - val_mae: 3.4839\n",
      "Epoch 27/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 18.0074 - mae: 3.1980 - val_loss: 23.7477 - val_mae: 3.4822\n",
      "Epoch 28/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 17.7548 - mae: 3.1835 - val_loss: 23.7165 - val_mae: 3.4756\n",
      "Epoch 29/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 8ms/step - loss: 17.2885 - mae: 3.1175 - val_loss: 22.8349 - val_mae: 3.3835\n",
      "Epoch 30/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 16.8068 - mae: 3.0636 - val_loss: 21.9844 - val_mae: 3.3000\n",
      "Epoch 31/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 16.4934 - mae: 3.0239 - val_loss: 21.8449 - val_mae: 3.2843\n",
      "Epoch 32/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 16.1168 - mae: 2.9751 - val_loss: 21.7697 - val_mae: 3.2766\n",
      "Epoch 33/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 8ms/step - loss: 15.7350 - mae: 2.9335 - val_loss: 21.5821 - val_mae: 3.2636\n",
      "Epoch 34/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 15.4630 - mae: 2.9055 - val_loss: 21.6017 - val_mae: 3.2781\n",
      "Epoch 35/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 15.1325 - mae: 2.8846 - val_loss: 21.5603 - val_mae: 3.2918\n",
      "Epoch 36/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 14.9339 - mae: 2.8781 - val_loss: 21.4486 - val_mae: 3.2742\n",
      "Epoch 37/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 14.6861 - mae: 2.8701 - val_loss: 21.0048 - val_mae: 3.2384\n",
      "Epoch 38/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 14.3780 - mae: 2.8229 - val_loss: 20.3415 - val_mae: 3.1859\n",
      "Epoch 39/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 14.1640 - mae: 2.7972 - val_loss: 19.8260 - val_mae: 3.1835\n",
      "Epoch 40/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 8ms/step - loss: 13.8180 - mae: 2.7604 - val_loss: 19.7204 - val_mae: 3.1986\n",
      "Epoch 41/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 8ms/step - loss: 13.7050 - mae: 2.7356 - val_loss: 19.1092 - val_mae: 3.1332\n",
      "Epoch 42/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 8ms/step - loss: 13.4505 - mae: 2.7020 - val_loss: 18.7564 - val_mae: 3.0861\n",
      "Epoch 43/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 13.2792 - mae: 2.6907 - val_loss: 18.5259 - val_mae: 3.0537\n",
      "Epoch 44/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 13.0681 - mae: 2.6658 - val_loss: 18.5408 - val_mae: 3.0488\n",
      "Epoch 45/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 12.8458 - mae: 2.6533 - val_loss: 18.5003 - val_mae: 3.0510\n",
      "Epoch 46/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 12.6941 - mae: 2.6729 - val_loss: 18.5847 - val_mae: 3.0568\n",
      "Epoch 47/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 12.5986 - mae: 2.6588 - val_loss: 18.3420 - val_mae: 3.0353\n",
      "Epoch 48/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 12.5298 - mae: 2.6341 - val_loss: 17.7369 - val_mae: 2.9743\n",
      "Epoch 49/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 12.2662 - mae: 2.6086 - val_loss: 17.7097 - val_mae: 2.9750\n",
      "Epoch 50/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 12.0256 - mae: 2.5781 - val_loss: 17.9833 - val_mae: 3.0189\n",
      "Epoch 51/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 12.0211 - mae: 2.5752 - val_loss: 18.4245 - val_mae: 3.0700\n",
      "Epoch 52/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 11.8985 - mae: 2.5747 - val_loss: 18.1946 - val_mae: 3.0529\n",
      "Epoch 53/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 11.6333 - mae: 2.5225 - val_loss: 17.7613 - val_mae: 3.0006\n",
      "Epoch 54/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 11.4958 - mae: 2.4828 - val_loss: 17.8147 - val_mae: 3.0015\n",
      "Epoch 55/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 11.5243 - mae: 2.4918 - val_loss: 18.3079 - val_mae: 3.0523\n",
      "Epoch 56/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 8ms/step - loss: 11.3274 - mae: 2.4912 - val_loss: 17.6577 - val_mae: 2.9912\n",
      "Epoch 57/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 11.2808 - mae: 2.4877 - val_loss: 16.9234 - val_mae: 2.9261\n",
      "Epoch 58/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 11.2294 - mae: 2.4721 - val_loss: 16.8271 - val_mae: 2.9182\n",
      "Epoch 59/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 11.0494 - mae: 2.4505 - val_loss: 17.0975 - val_mae: 2.9423\n",
      "Epoch 60/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 10.8932 - mae: 2.4221 - val_loss: 16.7445 - val_mae: 2.8943\n",
      "Epoch 61/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 10.8534 - mae: 2.3971 - val_loss: 16.6537 - val_mae: 2.8860\n",
      "Epoch 62/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 8ms/step - loss: 10.8551 - mae: 2.4564 - val_loss: 16.9125 - val_mae: 3.0094\n",
      "Epoch 63/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 8ms/step - loss: 11.3154 - mae: 2.5121 - val_loss: 16.4309 - val_mae: 2.9357\n",
      "Epoch 64/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 8ms/step - loss: 10.6738 - mae: 2.4247 - val_loss: 16.4240 - val_mae: 2.9253\n",
      "Epoch 65/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 10.5373 - mae: 2.3699 - val_loss: 16.4111 - val_mae: 2.8801\n",
      "Epoch 66/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 10.4539 - mae: 2.3436 - val_loss: 16.0553 - val_mae: 2.8543\n",
      "Epoch 67/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 8ms/step - loss: 10.3042 - mae: 2.3544 - val_loss: 16.2514 - val_mae: 2.8911\n",
      "Epoch 68/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 10.0961 - mae: 2.3344 - val_loss: 15.6413 - val_mae: 2.8213\n",
      "Epoch 69/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 10.1114 - mae: 2.3272 - val_loss: 15.7750 - val_mae: 2.8496\n",
      "Epoch 70/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 8ms/step - loss: 9.9616 - mae: 2.3030 - val_loss: 15.7957 - val_mae: 2.8359\n",
      "Epoch 71/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 8ms/step - loss: 9.8677 - mae: 2.2961 - val_loss: 16.3561 - val_mae: 2.8964\n",
      "Epoch 72/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 9.8311 - mae: 2.2935 - val_loss: 16.1685 - val_mae: 2.8752\n",
      "Epoch 73/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 9.7296 - mae: 2.2635 - val_loss: 15.8282 - val_mae: 2.8327\n",
      "Epoch 74/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 9.7007 - mae: 2.2584 - val_loss: 15.4034 - val_mae: 2.7855\n",
      "Epoch 75/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 9.7031 - mae: 2.2532 - val_loss: 15.2186 - val_mae: 2.7622\n",
      "Epoch 76/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 9.7338 - mae: 2.2874 - val_loss: 15.7814 - val_mae: 2.8699\n",
      "Epoch 77/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 9.5733 - mae: 2.2722 - val_loss: 15.4817 - val_mae: 2.8345\n",
      "Epoch 78/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 9.5258 - mae: 2.2398 - val_loss: 15.3645 - val_mae: 2.7987\n",
      "Epoch 79/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 9.4026 - mae: 2.2381 - val_loss: 15.3993 - val_mae: 2.8124\n",
      "Epoch 80/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 9.3666 - mae: 2.2465 - val_loss: 15.3361 - val_mae: 2.7996\n",
      "Epoch 81/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 9.2466 - mae: 2.2140 - val_loss: 15.3525 - val_mae: 2.8004\n",
      "Epoch 82/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 9.2395 - mae: 2.1972 - val_loss: 15.1014 - val_mae: 2.7805\n",
      "Epoch 83/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 9.1705 - mae: 2.1894 - val_loss: 15.2370 - val_mae: 2.8024\n",
      "Epoch 84/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 9.1248 - mae: 2.1816 - val_loss: 15.0477 - val_mae: 2.7820\n",
      "Epoch 85/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 9.0249 - mae: 2.1849 - val_loss: 15.0750 - val_mae: 2.7995\n",
      "Epoch 86/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 9.0186 - mae: 2.1969 - val_loss: 15.1952 - val_mae: 2.8003\n",
      "Epoch 87/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 8ms/step - loss: 8.9430 - mae: 2.1911 - val_loss: 15.0257 - val_mae: 2.7737\n",
      "Epoch 88/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 8.8584 - mae: 2.1602 - val_loss: 14.9203 - val_mae: 2.7663\n",
      "Epoch 89/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 8.7724 - mae: 2.1610 - val_loss: 15.1478 - val_mae: 2.8037\n",
      "Epoch 90/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 8.7730 - mae: 2.1531 - val_loss: 15.2658 - val_mae: 2.8167\n",
      "Epoch 91/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 8.7648 - mae: 2.1735 - val_loss: 15.1705 - val_mae: 2.8131\n",
      "Epoch 92/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 8.7495 - mae: 2.1660 - val_loss: 14.7892 - val_mae: 2.7561\n",
      "Epoch 93/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 8.5458 - mae: 2.1241 - val_loss: 14.4140 - val_mae: 2.7812\n",
      "Epoch 94/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 8.6581 - mae: 2.1264 - val_loss: 14.3548 - val_mae: 2.7511\n",
      "Epoch 95/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 8ms/step - loss: 8.6047 - mae: 2.1219 - val_loss: 14.8416 - val_mae: 2.7725\n",
      "Epoch 96/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 8.5502 - mae: 2.1341 - val_loss: 14.6814 - val_mae: 2.7588\n",
      "Epoch 97/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 8.5156 - mae: 2.1024 - val_loss: 14.3137 - val_mae: 2.7042\n",
      "Epoch 98/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 8.4673 - mae: 2.1164 - val_loss: 14.4063 - val_mae: 2.7292\n",
      "Epoch 99/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 8.5630 - mae: 2.1527 - val_loss: 14.5182 - val_mae: 2.7124\n",
      "Epoch 100/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 8.3400 - mae: 2.1154 - val_loss: 14.4376 - val_mae: 2.7285\n"
     ]
    }
   ],
   "source": [
    "# 11. Train the Model\n",
    "# validation_split=0.2 reserves 20% of training data to monitor val loss each epoch\n",
    "history = model.fit(X_train, y_train, epochs=100, batch_size=32, validation_split=0.2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "58007c40-1a20-42a5-ad21-272eb2eb7334",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1m4/4\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 8ms/step - loss: 12.5737 - mae: 2.4269\n",
      "Test Loss (MSE): 12.5737\n",
      "Test Mean Absolute Error: 2.4269\n"
     ]
    }
   ],
   "source": [
    "# 12. Evaluate the Model on Test Data\n",
    "loss, mae = model.evaluate(X_test, y_test)\n",
    "print(f\"Test Loss (MSE): {loss:.4f}\")\n",
    "print(f\"Test Mean Absolute Error: {mae:.4f}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "23efef47-eddb-4a30-a3e9-211500fb3c23",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1m4/4\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 14ms/step\n",
      "First 5 Predicted Prices: [28.49046  33.000824 19.268797 27.565912 15.817652]\n",
      "First 5 Actual Prices:    [23.6 32.4 13.6 22.8 16.1]\n"
     ]
    }
   ],
   "source": [
    "# 13. Make Predictions\n",
    "predictions = model.predict(X_test)\n",
    "print(\"First 5 Predicted Prices:\", predictions[:5].flatten())\n",
    "print(\"First 5 Actual Prices:   \", y_test.values[:5])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "b39e1935-2dc1-4eea-88c1-ee7eb3ec4df5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 14. Plot Training vs Validation Loss\n",
    "plt.plot(history.history['loss'], label='Training Loss')\n",
    "plt.plot(history.history['val_loss'], label='Validation Loss')\n",
    "plt.title('Model Loss Over Epochs')\n",
    "plt.ylabel('Loss (MSE)')\n",
    "plt.xlabel('Epoch')\n",
    "plt.legend()\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "21c8d482-3ddd-4e99-aecf-247e36ae79e0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 15. Plot Predicted vs Actual Prices\n",
    "plt.figure(figsize=(8, 6))\n",
    "plt.scatter(y_test, predictions, alpha=0.7)                        # each point = one test sample\n",
    "plt.plot([y_test.min(), y_test.max()],\n",
    "         [y_test.min(), y_test.max()], 'r--', label='Ideal Fit')   # diagonal = perfect prediction\n",
    "plt.xlabel('Actual Price')\n",
    "plt.ylabel('Predicted Price')\n",
    "plt.title('Actual vs Predicted House Prices')\n",
    "plt.legend()\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f76290d1-46d2-4314-85dc-ceb37fcace22",
   "metadata": {},
   "source": [
    "---"
   ]
  }
 ],
 "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": "3.12.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}