In this project, I have built a classifier to predict whether a loan case will be paid off or not. I've loaded a historical dataset from previous loan applications, clean the data, and applied different classification algorithm on the data. Following algorithms are used to build the models: k-Nearest Neighbour, Decision Tree, Support Vector Machine, Logistic Regression. The result is reported as the accuracy of each classifier, using the following metrics when these are applicable: Jaccard index, F1-score and LogLoss.
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In this project, I have built a classifier to predict whether a loan case will be paid off or not. I've loaded a historical dataset from previous loan applications, clean the data, and applied different classification algorithm on the data. Following algorithms are used to build the models: k-Nearest Neighbour, Decision Tree, Support Vector Mach…
abhisheksuraj21/The-Best-Classifier-Machine-Learning-Project
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In this project, I have built a classifier to predict whether a loan case will be paid off or not. I've loaded a historical dataset from previous loan applications, clean the data, and applied different classification algorithm on the data. Following algorithms are used to build the models: k-Nearest Neighbour, Decision Tree, Support Vector Mach…
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