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.
-
Notifications
You must be signed in to change notification settings - Fork 1
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
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
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…
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published