kc2 Training: Preparing and Using the Major Software Defects Dataset скачать в хорошем качестве

kc2 Training: Preparing and Using the Major Software Defects Dataset

This video provides a comprehensive walkthrough of preparing and training models with the kc2 dataset, a key resource for software defect prediction. Learn step-by-step data processing, model selection, and evaluation strategies tailored for kc2 analysis. Introduction to the kc2 dataset from NASA PROMISE repository Data preprocessing techniques specific to software metrics Handling missing values and feature normalization Splitting the dataset for training and testing Choosing appropriate machine learning algorithms Evaluating model performance and accuracy Common pitfalls in software defect prediction Practical tips for reproducible results #SoftwareEngineering #MachineLearning #SoftwareDefects