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helloworld.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "52c7eaaf",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "1.0"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "from sklearn.tree import DecisionTreeClassifier\n",
+    "from sklearn.model_selection import train_test_split\n",
+    "from sklearn.metrics import accuracy_score\n",
+    "\n",
+    "music_data = pd.read_csv('music.csv')\n",
+    "X= music_data.drop(columns=['genre'])\n",
+    "y= music_data['genre']\n",
+    "X_train,X_test,y_train,y_test=train_test_split(X,y,test_size=0.2)\n",
+    "\n",
+    "model= DecisionTreeClassifier()\n",
+    "model.fit(X_train,y_train)\n",
+    "predictions= model.predict(X_test)\n",
+    "\n",
+    "score= accuracy_score(y_test,predictions)\n",
+    "score\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "51dfaedf",
+   "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": "3.10.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

music.csv

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+age,gender,genre
+20,1,HipHop
+23,1,HipHop
+25,1,HipHop
+26,1,Jazz
+29,1,Jazz
+30,1,Jazz
+31,1,Classical
+33,1,Classical
+37,1,Classical
+20,0,Dance
+21,0,Dance
+25,0,Dance
+26,0,Acoustic
+27,0,Acoustic
+30,0,Acoustic
+31,0,Classical
+34,0,Classical
+35,0,Classical