Name		Name	Last commit message	Last commit date
Latest commit History 13 Commits
.github/workflows		.github/workflows
AdaBoost (Test set).png		AdaBoost (Test set).png
AdaBoost (Training set).png		AdaBoost (Training set).png
Decision Tree (Test set).png		Decision Tree (Test set).png
Decision Tree (Training set).png		Decision Tree (Training set).png
Gaussian Process (Test set).png		Gaussian Process (Test set).png
Gaussian Process (Training set).png		Gaussian Process (Training set).png
Linear SVM (Test set).png		Linear SVM (Test set).png
Linear SVM (Training set).png		Linear SVM (Training set).png
ML Classifier Comparision.ipynb		ML Classifier Comparision.ipynb
Naive Bayes (Test set).png		Naive Bayes (Test set).png
Naive Bayes (Training set).png		Naive Bayes (Training set).png
Nearest Neighbors (Test set).png		Nearest Neighbors (Test set).png
Nearest Neighbors (Training set).png		Nearest Neighbors (Training set).png
Neural Net (Test set).png		Neural Net (Test set).png
Neural Net (Training set).png		Neural Net (Training set).png
QDA (Test set).png		QDA (Test set).png
QDA (Training set).png		QDA (Training set).png
RBF SVM (Test set).png		RBF SVM (Test set).png
RBF SVM (Training set).png		RBF SVM (Training set).png
README.md		README.md
Random Forest (Test set).png		Random Forest (Test set).png
Random Forest (Training set).png		Random Forest (Training set).png
Social_Network_Ads.csv		Social_Network_Ads.csv

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ML-Classifier-Comparision

This repository contains Jupyter Notebook file containing the code to compare different sklearn classifiers on a dataset. Then it saves the output .png results in the working folder.

CI Status

All PRs are checked for:

✅ Syntax (Python, JS, TS, YAML, JSON, Dockerfile, Shell)
✅ Secrets (No hardcoded credentials)
✅ Security (High-severity vulnerabilities)

About

This repository contains Jupyter Notebook file containing the code to compare different sklearn classifiers on a dataset. Then it saves the output .png results in the working folder.