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

2 votes168 views1 answer
How to get element from dictionary python
Python
23 votes158 views3 answers
Pip install django rest framework
Python
2 votes151 views2 answers
Selenium python get innerhtml
Python
0 vote157 views2 answers
Stop animation matplotlib
Python
2 votes152 views1 answer
Make new dataframe from slice
Python
0 vote143 views1 answer
Python utf upper()
Python
2 votes188 views2 answers
What is role of ALLOWED_HOSTs in Django
Python Django
96 votes156 views6 answers
Read json file
Python
2 votes141 views1 answer
Python for loop with increment
Python
0 vote155 views1 answer
Alphabet dictionary Python
Python