Flashcards in Analytic Techniques Deck (110)

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1

##
what technique would you use if you needed to group items or find structure?

a)regression

b)clustering

c)time series

### b)clustering

2

##
what technique would you use if you needed to discover relationships between actions or items?

a)text analysis

b)regression

c)classification

d)association rules

### d)association rules

3

##
what technique would you use if you needed to determine the relationship between the input variables and the outcome?

a)text analysis

b)regression

c)Time series

### b)regression

4

##
what technique would you use if you needed to assign labels to objects?

a)classification

b)text analysis

c)regression

### a)classification

5

##
what technique would you use if you needed to find structure in temporal data in order to make forecasts?

a)classification

b)text analysis

c)time series

### c)time series

6

##
what technique would you use if you needed to analyse free text?

a)time series

b)clustering

c)classification

d)text analysis

### d)text analysis

7

## what technique is clustering?

### k-means

8

## what technique is regression?

### linear and logistic

9

## what technique is classification?

###
naive bayes

decision trees

10

## what technique is association rules?

### apriori

11

## what technique is time series?

### ARMA, ARIMA, PACF & ACF

12

## what technique is text analysis?

###
regular expressions

bag of words

TF-IDF

13

## which methods are the unsupervised learning method?

###
k-means

apriori

14

## what is the output of k-means?

### the cluster centre

15

## what is the input of k-means?

### numerical - Euclidean distance

16

## what is euclidian distance?

### method of calculating distance - most ordinary distance

17

## if a domain does not suggest a suitable value for k then what do you do?

### plot wss and look for elbow

18

## in k-means what do you do if its missing expected splits?

### increase k

19

## in k-means what do you do if its clusters have few data points?

### decrease k

20

## in k-means what do you do if the centroids are close together?

### decrease k

21

##
what is the right description for apriori?

a) if y is observed, then x is also observed

b) if x is observed, then y is also observed

### b) if x is observed, then y is also observed

22

##
what's association rules sometimes referred as?

a) market analysis

b) market basket analysis

c) task basket analysis

### b) market basket analysis

23

## what is a frequent itemset for apriori?

### set of items that appear together "often enough"

24

## what is normally the support % for apriori? (confidence)

### 50%

25

## what is confidence is apriori?

### % of transactions that contain x that also contain y

26

## in apriori, what does lift mean?

### how many times more often x and y occur together than expected

27

## in apriori, what does leverage mean?

### measures the difference in the probability of x and y appearing together

28

##
how do you work out confidence with apriori? for example credit good = 700

job skilled = 544

a)700/544

b)544/700

### b)544/700

29

## what is a test set?

### hold back some baskets with few random values removed - can the rules fill in the blanks

30