PYTHON

split data into training, testing and validation set python

import numpy as np
from sklearn.model_selection import train_test_split

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

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

# Second: use the train set to get the validation set and the final train set
X_train, X_val, y_train, y_val = train_test_split(X_train, y_train, test_size=0.33, random_state=42)

split dataset into train, test and validation sets

X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1)
X_train, X_val, y_train, y_val = train_test_split(X_train, y_train, test_size=0.25, random_state=1)