Rajeev Ramani
Last answered:

07 Nov 2022

 Posted on:

23 Feb 2021
0

Calling fit on train data

in Machine Learning in Python / Linear Regression Practical Example (Part 4)

In Practical example 4. You do reg.predict(train_x) right after you do reg.fit(train_x, trainY). Is this correct? Should the predication not be on test_x? Won't this cause overfitting?

1 answers ( 0 marked as helpful)
Juan David Peñaranda
Posted on:

07 Nov 2022
0

I agree with Rajeev. Are not the predictions supossed to be on the test set(?)  I am confused with this.

Submit an answer

related questions

Christine Li
0
8
scaler.fit(x) does not work
ABDULGAFAR SALIUOKULU
1
8
unable to load data set into jupyter notebook
Tanzeela Arshad
0
8
Resolved: My CSV Data File is not importing
Liezel
0
8
I think data['Longitude'] and data['Latitude'] should be swapped in plt.scatter?
Christine Li
0
6
different output for reg.fit
Edward Kenway
0
6
ValueError: Found unknown categories [nan] in column 2 during fit
Mohamed Abdul-Aziz Eisa
0
4
Resolved: Exercise for clustering categorical data need to remove index column ........ (I NEED SOLUTION)
Kanva Bhatia
0
4
during results_log = reg_log.fit(), error encounter but code runs
Mayank Mittal
0
2
Resolved: Passing training data in prediction isn't odd as it could cause overfitting to the model
Areej
0
2
Can I do scatter plot for multidimension data?
Jahurul Islam
0
2
Can I use "x = data[['SAT']]" instead of "x = data['SAT']",?
Kiran B
0
2
Resolved: Aren't we supposed to have unlabelled data here?