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Unit 3: Supervised Learning and Model Evaluation21CSC304P

Logistic Regression for Binary and Multi-Class Classification

Curriculum and examination evidence for Logistic Regression for Binary and Multi-Class Classification under Unit 3 (Supervised Learning and Model Evaluation) of Data Science (21CSC304P) at SRMIST.

Practice Topic QuestionsOpen Course Intelligence
Appearances
4
Cataloged Exam Questions
Exam Papers
3
Distinct University Exams
Question Families
0
Recurring Conceptual Archetypes
SRMIST Status
Active
Regulation 2021 Syllabus
Assessment Cycle Weightage

Historical appearance distribution across SRMIST Formative Tests (CT1, CT2) and University End Semester examinations.

CT1
1
Cycle Test 1
CT2
1
Cycle Test 2
EndSem
2
Semester Exam
Marks Weightage Distribution

Factual marks weightage of questions asked on this topic in historical examinations.

2 Marks:2 questions
8 Marks:2 questions
16 Marks:1 questions
Other Exam Topics in Unit 3: Supervised Learning and Model Evaluation
Linear Regression and Polynomial Regression4 QsModel Evaluation Metrics (Confusion Matrix, Precision, Recall, ROC-AUC)4 QsCross-Validation Strategies (K-Fold, Stratified)4 QsOverfitting, Regularization (Ridge, Lasso), and Bias-Variance Tradeoff4 Qs

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