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Data Mining Terminology 1

Total questions: 15

Worksheet time: 15mins

Name
Class
Date
1.

get (oneself or something) into or out of a situation using existing / minimal resources [9]

(a)  

2.

The first N in kNN stands for [7]

(a)  

3.

Choice of a split in a tree is based on this algorithm [6]

(a)  

4.

CART are also known as these trees [8]

(a)  

5.

These residuals in regression can be used to get n-fold cross-validation error [5]

(a)  

6.

Every tree has exactly one node of this type [4]

(a)  

7.

The terminal nodes of a tree are also known as these types of nodes [4]

(a)  

8.

This coefficient can measure the purity of a node in a classification tree [4]

(a)  

9.

This type of error generally shows a U shaped curve with respect to flexibility [4]

(a)  

10.

The measure for node purity based on logarithm of proportions of each class [7]

(a)  

11.

Number of nodes in a tree is also known as [10]

(a)  

12.

The second O in LOOCV stands for [3]

(a)  

13.

The process of cutting short a fully grown tree [7]

(a)  

14.

LOOCV is also known as [9]

(a)  

15.

The largest possible value of the misclassification probability [4]

(a)