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Update ML_Quiz1.MD
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yifang-psu authored Oct 7, 2022
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#### Clustering, Classification, Naive Bayes

1. High entropy means that the partitions in classification are: <br/>
[a] not pure <br/>
**[a] not pure** <br/>
[b] pure <br/>
[c] useful <br/>
[d] useless <br/>
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[a] 9 <br/>
[b] 16 <br/>
[c] 144 <br/>
[d] 216 <br/>
**[d] 216** <br/>

Answer: [d]: 216. Maximum possible different examples are the products of the possible values of each attribute and the number of classes: $3 * 3 * 4 * 6 = 216$.

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