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dsc-jiit-128 / ML_classification_Hacktoberfest

This repository was created for people who are new to Open-source who can learn more and be an asset to the human society :octocat: This repository will help you understand the basics of Git, GitHub and hone you Machine Learning Skills!
MIT License
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Accuracy issue #2

Closed sarthakpant772 closed 2 years ago

sarthakpant772 commented 2 years ago

Try to get model accuracy above 96% image

sarthakpant772 commented 2 years ago

Try changing some parameters of KNN so that it fits the data perfectly (warning: overfit may happen).

void-02 commented 2 years ago

Hello, I am willing to contribute on this issue.

sarthakpant772 commented 2 years ago

@void-02 sure do it and please make you submission in submission folder.

void-02 commented 2 years ago

Hello, Below are the accuracies which I got on different classifiers. Should I add a new PR?

Classifier Accuracy
Random Forest 98.12%
Catboost 98.52%
Multilayer Perceptron (MLP) 98.16%
Light GBM 98.83%
Bagged Decision Tree 98.52%
Bagged Light GBM 98.92%
Bagged Catboost 98.65%
sarthakpant772 commented 2 years ago

yes sure @void-02