Given the dataset with two features x1, x2 and the class labels (+ -): A(10, 10,...

 

Transcribed Image Text:

Given the dataset with two features x1, x2 and the class labels (+ -): A(10, 10, +), B(40, 10. +), C(10, 40, +). D(30.30,-). Illustrate the first 2 iterations of Ada Boost ensemble Algorithm using 3 decision tree classifiers S1, S2, S3. The associated decision stumps for positive class are respectively given as: [5M] $10/01-20220 S1(x1 ≤ 20)+; S2(x1< 30) S3 (x1 < 50) → Given the dataset with two features x1, x2 and the class labels (+ -): A(10, 10, +), B(40, 10. +), C(10, 40, +). D(30.30,-). Illustrate the first 2 iterations of Ada Boost ensemble Algorithm using 3 decision tree classifiers S1, S2, S3. The associated decision stumps for positive class are respectively given as: [5M] $10/01-20220 S1(x1 ≤ 20)+; S2(x1< 30) S3 (x1 < 50) →