/01- Given the dataset with two features x1, x2 and the class labels (+,-): A(10. 10....

Transcribed Image Text:

/01- Given the dataset with two features x1, x2 and the class labels (+,-): A(10. 10. +), B( 40. 10. +). C(10,40, +). D(30.30.-). 855 23/10/0 Illustrate the first 2 iterations of Ada Boost ensemble S2, S3. The associated decision stumps for positive class are respectively given as: S1(x1 20)+; 52(x1 <30) +, 53(x1 50) + [SM] Algorithm 10/01-2022da04622-85540-202 using 3 decision tree classifiers S/. 2022da4622-85540-2023/10/01 This is a subjective question, hence you have to write your answer in the Text-Field given below. Given two classification models A and B where the model A provides an accuracy of 96% when evaluated on 1000 instances while the model B provides an accuracy of 84% on the sample size of 1500. The corresponding error rates of A and B are 0.1 and 0.2 respectively. Using the confidence interval of 95%, explain whether the difference in the model performance is statistically significant. 20228804 2022da04438-85640 a04438 [5M] /01- Given the dataset with two features x1, x2 and the class labels (+,-): A(10. 10. +), B( 40. 10. +). C(10,40, +). D(30.30.-). 855 23/10/0 Illustrate the first 2 iterations of Ada Boost ensemble S2, S3. The associated decision stumps for positive class are respectively given as: S1(x1 20)+; 52(x1 <30) +, 53(x1 50) + [SM] Algorithm 10/01-2022da04622-85540-202 using 3 decision tree classifiers S/. 2022da4622-85540-2023/10/01 This is a subjective question, hence you have to write your answer in the Text-Field given below. Given two classification models A and B where the model A provides an accuracy of 96% when evaluated on 1000 instances while the model B provides an accuracy of 84% on the sample size of 1500. The corresponding error rates of A and B are 0.1 and 0.2 respectively. Using the confidence interval of 95%, explain whether the difference in the model performance is statistically significant. 20228804 2022da04438-85640 a04438 [5M]

Answer rating: 100% (QA)

To determine whether the difference in model performance between models A and B is statistically sig... View the full answer