https://github.com/0xnaman1/loan-payment-classifier
The project is based on implementation of KNN, Decision Trees, Logistic Regression and SVM to find out the type of loan payments. The accuracy of each model is calculated using Jaccard, Log Loss and F1 score.
https://github.com/0xnaman1/loan-payment-classifier
data-science decision-tree-classifier knn-classification machine-learning
Last synced: about 1 year ago
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The project is based on implementation of KNN, Decision Trees, Logistic Regression and SVM to find out the type of loan payments. The accuracy of each model is calculated using Jaccard, Log Loss and F1 score.
- Host: GitHub
- URL: https://github.com/0xnaman1/loan-payment-classifier
- Owner: 0xnaman1
- Created: 2019-07-26T19:04:13.000Z (almost 7 years ago)
- Default Branch: master
- Last Pushed: 2019-07-27T09:56:45.000Z (almost 7 years ago)
- Last Synced: 2025-02-28T10:48:22.126Z (over 1 year ago)
- Topics: data-science, decision-tree-classifier, knn-classification, machine-learning
- Language: Jupyter Notebook
- Homepage:
- Size: 53.7 KB
- Stars: 0
- Watchers: 3
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Best Loan Classifier Project using ML
A loan classifier is built using machine lerning algorithms that include
- KNN
- Decision Trees
- Logistic Regression
- Support Vector Machine
The accuracy of all the models was calculated using the various metrics including
- Jaccard score
- F1 score
- Log Loss