Given that we can select the same feature multiple times during the recursive partitioning ofthe input space, is it always possible to achieve 100% accuracy on the training data (giventhat we allow for trees to grow to their maximum size) when building decision trees?

Question:

Given that we can select the same feature multiple times during the recursive partitioning of
the input space, is it always possible to achieve 100% accuracy on the training data (given
that we allow for trees to grow to their maximum size) when building decision trees?

A.

yes

B.

no

Answer» b. no

Note: The above multiple-choice question is for all general and Competitive Exams in India

What is Model Selection in Machine Learning?

Question:

What is Model Selection in Machine Learning?

A.

the process of selecting models among different mathematical models, which are used to describe the same data set

B.

when a statistical model describes random error or noise instead of underlying relationship

C.

find interesting directions in data and find novel observations/ database cleaning

D.

all above

Answer» a. the process of selecting models among different mathematical models, which are used to describe the same data set

Note: The above multiple-choice question is for all general and Competitive Exams in India