https://github.com/sumdiboii/loan-prediction-decision-trees
A Decision Tree Classifier was implemented to predict personal loan acceptance using a dataset of 5,000 customers. Key features included income, education, mortgage, and credit card usage. The model achieved 97% accuracy, with 92% precision and 76% recall for positive loan predictions, validated using a classification report and confusion matrix.
https://github.com/sumdiboii/loan-prediction-decision-trees
classification data-visualisation decision-trees loan-prediction machine-learning python scikit-learn supervised-learning
Last synced: 4 months ago
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A Decision Tree Classifier was implemented to predict personal loan acceptance using a dataset of 5,000 customers. Key features included income, education, mortgage, and credit card usage. The model achieved 97% accuracy, with 92% precision and 76% recall for positive loan predictions, validated using a classification report and confusion matrix.
- Host: GitHub
- URL: https://github.com/sumdiboii/loan-prediction-decision-trees
- Owner: Sumdiboii
- Created: 2025-06-21T14:45:57.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2025-06-21T15:17:54.000Z (4 months ago)
- Last Synced: 2025-06-21T15:35:29.302Z (4 months ago)
- Topics: classification, data-visualisation, decision-trees, loan-prediction, machine-learning, python, scikit-learn, supervised-learning
- Language: Jupyter Notebook
- Homepage: https://colab.research.google.com/drive/1tUx7J-Nv1iLBHVT84zBBrdLQOzSLgNS0?usp=sharing
- Size: 0 Bytes
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md