Help with linearRegression/cross_val_score

[vasu2798]

Hi. I'm trying to find the cross validation score using Linear regression model but am getting scores more than 1.
I have attached the data, code as well as the output. Kindly help if possible. Thanks :)
   

[Larz60+]

Please show what you have tried (code) so far.

[vasu2798]

Please show what you have tried (code) so far.

Hi!Please find the code below. A big Thanks for your time! :)

import pandas as pd
data=pd.read_csv(r'C:\Users\Personal\Desktop\Sample.csv',nrows=30)
data
from sklearn.linear_model import LinearRegression
from sklearn.model_selection import cross_val_score
import numpy as np
lr=LinearRegression()
x,y=data.iloc[:,0:2],data.iloc[:,[2]]
lr=LinearRegression()
cross_val_score(lr, x, y,cv=5)

[Caprone]

Hi. I'm trying to find the cross validation score using Linear regression model but am getting scores more than 1.
I have attached the data, code as well as the output. Kindly help if possible. Thanks :)

sorry, but have You understood what cv does ???
how many scores You thought 5 folds cv would returns??

[vasu2798]

Hi. I'm trying to find the cross validation score using Linear regression model but am getting scores more than 1.
I have attached the data, code as well as the output. Kindly help if possible. Thanks :)

sorry, but have You understood what cv does ???
how many scores You thought 5 folds cv would returns??

Hey Sorry. I guess I didn't frame my question right. I'm getting cv score values more than 1. I thought they would be in the range between 0.0 to 1.0

[Caprone]

sorry, but have You understood what cv does ???
how many scores You thought 5 folds cv would returns??

Hey Sorry. I guess I didn't frame my question right. I'm getting cv score values more than 1. I thought they would be in the range between 0.0 to 1.0

ok if your metric is R2 than a score greater than 1 does not make sense; this may be because your data sample is very small, then variance can be very high; try to post a reproducible code with representative data