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21
Following are the types of supervised learning
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Answer & Solution
Answer: Option D
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22
overlearning causes due to an excessive . . . . . . . .
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Answer & Solution
Answer: Option A
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23
You trained a binary classifier model which gives very high accuracy on the training data, but much lower accuracy on validation data. Which is false.
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Answer & Solution
Answer: Option B
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24
For the given weather data, Calculate probability of playing
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Answer & Solution
Answer: Option B
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25
Which of the following is an example of a deterministic algorithm?
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Answer & Solution
Answer: Option A
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26
Gaussian Nave Bayes Classifier is . . . . . . . . distribution
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Answer & Solution
Answer: Option A
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27
In which of the following each categorical label is first turned into a positive integer and then transformed into a vector where only one feature is 1 while all the others are 0.
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Answer & Solution
Answer: Option C
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28
Simple regression assumes a . . . . . . . . relationship between the input attribute and output attribute.
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Answer & Solution
Answer: Option C
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29
The . . . . . . . . step eliminates the extensions of (k-1)-itemsets which are not found to be frequent,from being considered for counting support
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Answer & Solution
Answer: Option D
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30
Which of the following is true about weighted majority votes?
1. We want to give higher weights to better performing models
2. Inferior models can overrule the best model if collective weighted votes for inferior models is higher than best model
3. Voting is special case of weighted voting
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Answer & Solution
Answer: Option D
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