train test split sklearn
from sklearn.model_selection import train_test_split X = df.drop(['target'],axis=1).values # independant features y = df['target'].values # dependant variable # Choose your test size to split between training and testing sets: X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.25, random_state=42)