CSE 322 (AAB - 212): Data Mining and Machine Learning Lab

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Week 10: Discussion

Data Mining and Machine Learning Lab

◄ Week 10
Why ROC is important? ►

A ROC curve (receiver operating characteristic curve) is a graph showing the performance of a classification model at all classification thresholds. This curve plots two parameters:
True Positive Rate
False Positive Rate

◄ Week 10
Why ROC is important? ►

OBE Course Outline

Week 1: Discussion

Week 2: Discussion

Week 3: Discussion

Assignment

Interactive Contents

Week 4: Discussion

Week 5: Discussion

Week 6: Discussion

Week 8: Discussion

Week 9: Discussion

Week 10: Discussion

Final Lab Report

Data Mining and Machine Learning Lab (Summer 2021)

Week 10: Discussion

Data Mining and Machine Learning Lab

Data Mining and Machine Learning Lab

Welcome to Data Mining and Machine Learning Lab

OBE Course Outline

Week 1: Introduction to Weka

Week 1: Discussion

Week 2: Classification Problem analysis and Performance Evaluation Procedure of Classifier

Week 2: Discussion

Week 3: Multiclass & Multilabel Problem, Regression Problem, and Evaluation Procedure

Week 3: Discussion

Assignment

Week 4: Classification Using Weka

Interactive Contents

Week 4: Discussion

Week 5: Data Preprocessing and Classification Using Weka

Week 5: Discussion

Week 6: Feature Selection and Feature Ranking

Week 6: Discussion

Week 8: Data Preprocessing using Python

Week 8: Discussion

Week 09: Regression using Python

Week 9: Discussion

Week 10: Classification using Python

Week 10: Discussion

Week 11: Presentation of Project (Using Python or Weka)

Final Lab Report

Week 12: Final Examination

Week 10: Discussion

Data Mining and Machine Learning Lab