Gini Index 1- (E[PG | t)]^2 for all j) Interactions Can overcome disadvantage fre v [ Choose ] Dividing Gain by SplitINFO Cannot classify properly Can overcome disadvantage from skewed lower GINI values 1- (ΣΙΡΟΙ υ2 for all ) Misclassification Error Model too simple 1- (max(P(i| t)) for all i) Causes Variance Underfitting >
Gini Index 1- (E[PG | t)]^2 for all j) Interactions Can overcome disadvantage fre v [ Choose ] Dividing Gain by SplitINFO Cannot classify properly Can overcome disadvantage from skewed lower GINI values 1- (ΣΙΡΟΙ υ2 for all ) Misclassification Error Model too simple 1- (max(P(i| t)) for all i) Causes Variance Underfitting >
College Algebra
7th Edition
ISBN:9781305115545
Author:James Stewart, Lothar Redlin, Saleem Watson
Publisher:James Stewart, Lothar Redlin, Saleem Watson
Chapter9: Counting And Probability
Section: Chapter Questions
Problem 6P: Areas of Curved Regions the Monte Carlo method can be used to estimate the area under the graph of a...
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match the statements:
A- Gini Index
B-Interactions
C-Dividing Gain by SplitINFO
D-Misclassification Error
E-Underfitting
To be matched against :
1-can not classify properly
2- can overcome disadvantages from skewed GINI values
3- model too simple
4- Causes Variance
5- Formula 1
6 - Formula 2
see the picture
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