ved1925

Sant gadge baba university, Amravati

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DSS Unit 6 Notes – Decision Tree, Random Forest & Bagging (Full Explanation with Examples)
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9

november 2025

2025/2026

A
These DSS Unit 6 notes provide a complete and easy-to-understand explanation of Decision Trees, Random Forest Algorithm, and Bagging (Bootstrap Aggregating). The document includes clear definitions, working steps, mathematical concepts (Entropy, Information Gain, Gini Index), ID3 algorithm, examples, advantages, disadvantages, and applications.
vedikagavhane
$3.59 Meer Info

Tentamen (uitwerkingen)

Data Structures and Statistics Notes | Easy, Clean & Exam-Focused (BE CSE/IT)
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16

november 2025

2025/2026

A
Classification – Definition, significance, working Types of Classification (Binary, Multi-class, Multi-label) Mathematical representation of classification Logistic Regression – introduction, sigmoid function, odds, logit Logistic regression working, decision boundary, interpretation Difference between Linear & Logistic Regression Confusion Matrix – TP, TN, FP, FN Precision, Recall, Specificity, Accuracy ROC Curve – definition, plotting, interpretation ...
vedikagavhane
$3.99 Meer Info