#5: MODEL EVALUATION скачать в хорошем качестве

#5: MODEL EVALUATION

In this video, we dive deep into the essential topic of Model Evaluation in machine learning. Learn how to assess the performance of your models, identify areas for improvement, and make data-driven decisions to enhance your outcomes. What’s covered? ✔️ Key metrics like accuracy, precision, recall, and F1-score ✔️ Cross-validation techniques ✔️ Confusion matrix explained ✔️ ROC-AUC and its significance ✔️ Practical tips for avoiding overfitting Whether you're a beginner or an experienced data scientist, this guide will help you refine your models for optimal performance. Timestamps: 0:00 Introduction 2:10 Importance of Model Evaluation 5:45 Common Metrics and When to Use Them 12:30 Cross-Validation Explained 18:00 Hands-On Example (Python) If you found this video helpful, don't forget to like, share, and subscribe for more valuable content! #ModelEvaluation #MachineLearning #DataScience