Loandefault Prediction

Lending Club Loan data analysis
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Model Accuracies:

Model Accuracy
Random Forest with Randomized search CV 82.09
Logistic Regression with Grid search CV 83.18
Support Vector Machine with Grid search CV 82.50
K Nearest Neighbors with Grid search CV 77.40
Bagging with Base estimator as Random Forest 84.10
Bagging with Base estimator as Logistic Regression 83.10
AdaBoost Classifier 83.60
MultilLayer Perceptron Classifier 83.40

check out our project report to find out why we used these models


  • Programming Language: Python
  • Libraries: Pandas, Scikit-learn, Matplotlib, Seaborn
  • Visualization: plotly

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Logistic Regression