Scikit learn train test split

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)

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)

Scikit learn train test 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)

Source: scikit-learn.org

Similar codes

1 vote248 views2 answers
Django content type
Python Django
0 vote295 views1 answer
Scrape website with login python selenium
Python
0 vote159 views1 answer
Pyplot aera
Python
0 vote168 views1 answer
Journalctl not showing all python prints
Python
0 vote195 views1 answer
Store user input in list
Python
18 votes178 views5 answers
Flask minimal app
Python
3 votes195 views2 answers
Python extract specific columns from pandas dataframe
Python
3 votes165 views1 answer
Width and height of pil image
Python
0 vote299 views1 answer
From numpy to list python
Python
1 vote170 views1 answer
Slicing lexicographically pandas
Python