Cross Validation using sklearn and python | Machine Learning




[ad_1]

Cross-validation is a resampling procedure used to evaluate machine learning models on a limited data sample.

The procedure has a single parameter called k that refers to the number of groups that a given data sample is to be split into.

Github: https://github.com/krishnaik06/model_selections/blob/master/ModelBoost.ipynb

Source


[ad_2]

Comment List

  • Krish Naik
    November 30, 2020

    super sir

  • Krish Naik
    November 30, 2020

    @Krish Naik how do you write on the screen.which tool to use?

  • Krish Naik
    November 30, 2020

    Thanks for these great explanations , I can no find the Purchased_Dataset.csv would like please update your Github repository. Thanks

  • Krish Naik
    November 30, 2020

    Thankyou.

  • Krish Naik
    November 30, 2020

    Sir me cs ka student nhi hu to me data science Sikh sakta hu I am graduate in b.a plz reply

  • Krish Naik
    November 30, 2020

    Sir please make video on Data Science project … As fresher or start career in data scientist what kind of project to do

  • Krish Naik
    November 30, 2020

    What is the difference between accuracy_score and cross_val_score?

Write a comment