music-prediction-algo

import pandas as pd from sklearn.tree import DecisionTreeClassifier from sklearn.model_selection import train_test_split from sklearn.metrics import accuracy_score music_list = pd.read_csv("music.csv") x = music_list.drop(columns=['genre']) y = music_list['genre'] x_train, x_test, y_train, y_test= train_test_split(x, y, test_size=0.3) model = DecisionTreeClassifier() model.fit(x_train, y_train) predictions = model.predict(x_test) score = accuracy_score(y_test, predictions) score