/Software-Defect-Prediction

Primary LanguageJupyter NotebookMIT LicenseMIT

Software-Defect-Prediction

A Model based on two main Algorithm KPCA and WELM used to detect defect in various datasets.
In this project we uploded complete code and Datesets that are used while implemented this.
We have used five datasets mainly PC1, KC1, KC2, CM1, and JM1.
we got different-2 accuracy on these datasets. These are the NASA datasets.

Instruction to RUN:

use Google collab to run the complete code
upload the datasets to the Google collab and run the model

Contribution

1. Asis Rout (181IT108)
2. Ashok Bhobhiya (181IT154)
3. Jeeukrishnan Kayshyap (181IT220)