Upload Untitled1.ipynb

Untitled1.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "2e314513",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Accuracy: 0.8417508417508418\n"
+     ]
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "from sklearn.model_selection import train_test_split\n",
+    "from sklearn.ensemble import RandomForestClassifier\n",
+    "from sklearn.metrics import accuracy_score, classification_report\n",
+    "\n",
+    "# Load the dataset\n",
+    "df = pd.read_csv('dataset.csv')\n",
+    "\n",
+    "# Split the dataset into features and target variable\n",
+    "X = df.drop('PlacedOrNot', axis=1)  # Features\n",
+    "y = df['PlacedOrNot']  # Target variable\n",
+    "\n",
+    "# Convert categorical features to numerical using one-hot encoding\n",
+    "X = pd.get_dummies(X)\n",
+    "\n",
+    "# Split the dataset into training and testing sets\n",
+    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n",
+    "\n",
+    "# Create a Random Forest Classifier\n",
+    "clf = RandomForestClassifier(n_estimators=100, random_state=42)\n",
+    "\n",
+    "# Train the model\n",
+    "clf.fit(X_train, y_train)\n",
+    "\n",
+    "accuracy = clf.score(X_test, y_test)\n",
+    "print('Accuracy:', accuracy)\n",
+    "\n",
+    "# Export the trained model as a pickle file\n",
+    "with open('random_forest_model.pkl', 'wb') as f:\n",
+    "    pickle.dump(clf, f)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ad204a75",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "11ad2756",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "913f5ce2",
+   "metadata": {},
+   "outputs": [],
+   "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",
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+}