kc1 Training Workflow: Preparing and Modeling the KC1 Software Dataset скачать в хорошем качестве

kc1 Training Workflow: Preparing and Modeling the KC1 Software Dataset

This video guides you through the process of training machine learning models using the KC1 dataset, a major software defect dataset. Learn essential steps for data preparation, feature engineering, and evaluation for software quality prediction. Introduction to the KC1 software defect dataset and its structure Data cleaning and preprocessing techniques for KC1 Feature selection and engineering best practices Splitting the dataset for training and testing Choosing the right machine learning algorithms for defect prediction Training and validating classification models Interpreting model performance and evaluation metrics Practical tips for improving prediction accuracy #SoftwareEngineering #MachineLearning #DataPreparation