PYTHON

train split

import numpy as np
from sklearn.model_selection import train_test_split

# Data example 
X, y = np.arange(10).reshape((5, 2)), range(5)

# Split data into train and test sets
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.33, random_state=42)

train split

import numpy as np
from sklearn.model_selection import train_test_split

# Data example 
X, y = np.arange(10).reshape((5, 2)), range(5)

# Split data into train and test sets
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.33, random_state=42)