Delete Untitled1.ipynb

Untitled1.ipynb

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-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "2e314513",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Accuracy: 0.8417508417508418\n"
-     ]
-    }
-   ],
-   "source": [
-    "\n",
-    "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",
-   "version": "3.9.12"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}