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)

Code for test and train split

from sklearn.model_selection import train_test_split
X_train, X_test, y_train, y_test = train_test_split(
 X, y, test_size=0.33, random_state=42)

Source: scikit-learn.org

Train test split python

from sklearn.model_selection import train_test_split
				
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.25, random_state=42)

Sklearn train_test_split

import numpy as np from sklearn.model_selection import train_test_split
X_train, X_test, y_train, y_test = train_test_split(
 X, y, test_size=0.33, random_state=42)

How to distribute a dataset in train and test using scikit

from sklearn.model_selection import train_test_split
xTrain, xTest, yTrain, yTest = train_test_split(x, y, test_size = 0.2, random_state = 0)

Train test split sklearn

from sklearn.model_selection import train_test_split
X_train, X_test, y_train, y_test = train_test_split(x, y, test_size=0.33, random_state=42)
print(X_train.shape, X_test.shape, y_train.shape, y_test.shape)

Similar codes

75 votes138 views6 answers
Sort dictionary python
Python
0 vote141 views1 answer
Covert docx to pdf with libraoffice in python
Python
19 votes179 views1 answer
Python string cut to length
Python
21 votes113 views3 answers
How to copy all requirements to requirements.txt
Python
1 vote82 views1 answer
Append array to array python
Python
0 vote123 views2 answers
How to make a time limit using renpy
Python
0 vote127 views1 answer
Python slack webhook
Python
0 vote121 views1 answer
Getch backspace pytohn
Python
0 vote156 views1 answer
Truncatechars django
Python Django
8 votes128 views2 answers
Python use functions from another file
Python