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Trained various machine learning classification algorithms and found the best one for this specific dataset by accuracy evaluation methods to predict whether the loan cases will be paid off or not.

Algorithm F1-score Jaccard LogLoss
KNN 0.632 0.653 -
Decision Tree 0.626 0.679 -
SVM 0.621 0.722 -
Logistic Regression 0.63 0.74 0.532

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Trained machine learning algorithms (Logistic Regression, KNN, SVM, Decision Tree) specifically, after performing visualization and pre-preocessing tasks on a loan dataset. Executed the evaluation metrics such as F1-score, Log loss and jaccard-similarity score to assess the algorithms performance.

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