Python train test val split

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)

Python train test val split

#You could just use sklearn.model_selection.train_test_split twice. First to split to train,
#test and then split train again into validation and train.
#Something like this:
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) # 0.25 x 0.8 = 0.2

Source: datascience.stackexchange.com

Similar codes

122 votes297 views3 answers
Iterate through keys in dictionary
Python
0 vote309 views1 answer
Sort strings as numbers python
Python
1 vote317 views1 answer
To_csv drop index
Python
11 votes296 views2 answers
Pickle a dictionary
Python
0 vote301 views1 answer
How to create empty series in pandas
Python
0 vote315 views1 answer
Install google cloud python
Python
0 vote302 views1 answer
Get maximum value index after groupby
Python
3 votes381 views1 answer
Django queryset group by
Python Django
0 vote335 views1 answer
Reading a cell from another cell in colab
Python
31 votes340 views3 answers
Add element to list python at index
Python