Answers for "train-test split code in pandas"

28

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)
Posted by: Guest on November-08-2020
0

train-test split code in pandas

df_permutated = df.sample(frac=1)

train_size = 0.8
train_end = int(len(df_permutated)*train_size)

df_train = df_permutated[:train_end]
df_test = df_permutated[train_end:]
Posted by: Guest on November-18-2020

Code answers related to "train-test split code in pandas"

Python Answers by Framework

Browse Popular Code Answers by Language