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)

Pandas split train test

from sklearn.model_selection import train_test_split

train, test = train_test_split(df, test_size=0.2)

Source: stackoverflow.com

Train test split

from sklearn.linear_model import LinearRegression

rl = LinearRegression().fit(X, y)
rl.fit(X, y) #We can fit model to dataset in this way too

Similar codes

0 vote111 views1 answer
Sort for Linked Lists python
Python
4 votes107 views2 answers
Flask arguments in url
Python
-1 vote110 views1 answer
Django migrate not creating tables
Python
25 votes146 views6 answers
How to get input from user in python
Python
1 vote139 views1 answer
Python check if two sets intersect
Python
1 vote115 views2 answers
Python selenium hover over element
Python
7 votes112 views2 answers
Python list 1 to n
Python
1 vote101 views1 answer
List set python
Python
0 vote108 views1 answer
Show all rows with nan for a column value pandas
Python
0 vote115 views1 answer
Log transform pandas dataframe
Python