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Best-classifier

Best classifier project Now we use different Machine Learning algorithms over the course of five weeks to practice and apply it on a dataset. In this project, we will complete a notebook where we will build a classifier to predict whether a loan case will be paid off or not.

we load a historical dataset from previous loan applications, clean the data, and apply different classification algorithm on the data. we are expected to use the following algorithms to build our models:

k-Nearest Neighbour Decision Tree Support Vector Machine Logistic Regression

The results is reported as the accuracy of each classifier, using the following metrics when these are applicable:

Jaccard index F1-score LogLoass

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