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

 

Gini Index
1- (E[P(G | t)]^2 for all j)
Interactions
Can overcome disadvantage fr v
[ Choose ]
Dividing Gain by SplitINFO
Cannot classify properly
Can overcome disadvantage from skewed lower GINI values
1- (E[PG| t)]^2 for all )
Misclassification Error
Model too simple
1- (max(P(i| t)) for all i)
Causes Variance
Underfitting
Transcribed Image Text:Gini Index 1- (E[P(G | t)]^2 for all j) Interactions Can overcome disadvantage fr v [ Choose ] Dividing Gain by SplitINFO Cannot classify properly Can overcome disadvantage from skewed lower GINI values 1- (E[PG| t)]^2 for all ) Misclassification Error Model too simple 1- (max(P(i| t)) for all i) Causes Variance Underfitting
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