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caterinado / Machine-Learning-with-Python-The-Best-Classifier

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Built a classifier to predict whether a loan case will be paid off or not. Used classification algorithms (k-Nearest Neighbour, Decision Tree, Support Vector Machine, Logistic Regression). Each result is reported with the accuracy of each classifier (Jaccard index, F1-score, LogLoass)

case logistic-regression support-vector-machine loan decision-tree f1-score jaccard-index classification-algorithms k-nearest-neighbour logloass
  • Updated Nov 3, 2020
  • Jupyter Notebook

FilobateerEssam / IBM-Machine-Learning-Project

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build a classifier to predict whether a loan case will be paid off or not. in loan applications, clean the data, and apply different classification algorithm on the data. use the following algorithms to build your models: k-Nearest Neighbour Decision Tree Support Vector Machine Logistic Regression The results is reported as the accuracy of each …

machine-learning-algorithms classification logistic-regression decision-tree svm-classifier f1-score jaccard-index pythin3 k-nearest-neighbour logloass
  • Updated Oct 3, 2022
  • Jupyter Notebook

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