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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

how do you work out lift of if 713 home owners and 527 have good credit. 700 have good credit overall

a) 0.527/(0.700*0.713)
b)527/(0.700*713)
c)527/713

a) 0.527/(0.700*0.713)