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Emekaborisama/cross_validation.py

Created November 7, 2022 20:05
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cross_validation.py
from sklearn.model_selection import train_test_split
from sklearn.metrics import mean_absolute_error, mean_squared_error
from math import sqrt
scaler = StandardScaler()
x=new_train_df.drop("price",axis =1)
y=new_train_df.price
X = scaler.fit_transform(x)
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=23)
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