Train test validation sklearn

# credit to the user of StackExchange in the source link
# set stratify=y in the function arguments for stratified selection
# random_state has been fixed for reproducibility

from sklearn.model_selection import train_test_split

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

# 0.25 x 0.8 = 0.2
X_train, X_val, y_train, y_val 
    = train_test_split(X_train, y_train, test_size=0.25, random_state=1)

Source: datascience.stackexchange.com

Similar codes

1 vote211 views1 answer
How to generate random normal number in python
Python
2 votes243 views1 answer
How to get element from dictionary python
Python
-1 vote233 views1 answer
Loading .dat file in python
Python
17 votes223 views6 answers
Django model
Python Django
26 votes220 views5 answers
Display max rows pandas
Python
4 votes226 views1 answer
How to address a column in a 2d array python
Python
0 vote233 views1 answer
Python hand tracking module
Python
1 vote213 views1 answer
How to change size of xticks
Python
0 vote233 views1 answer
Check permissions django template
Python
18 votes197 views3 answers
Change specific column name pandas
Python