In this project, I have made a notebook where built a classifier to predict whether a loan case will be paid off or not.
I loaded a historical dataset from previous loan applications, then I cleaned the data, and apply different classification algorithm on the data. I used the following algorithms to build my models:
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k-Nearest Neighbour
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Decision Tree
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Support Vector Machine
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Logistic Regression
The results is reported as the accuracy of each classifier, using the following metrics:
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Jaccard index
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F1-score
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LogLoass