DATABASE FUNDAMENTALS
BASICS OF BIG DATA
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Regressive model predicts a numeric value instead of category.
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Regressive model organizes similar item in your dataset into groups.
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Regressive model comes up with a set of rules to capture associations between items or events.
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None of the Mentioned
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Detailed explanation-1: -(A) Regressive model predicts a numeric value instead of category. (B) Regressive model organizes similar item in your dataset into groups. (C) Regressive model comes up with a set of rules to capture associations between items or events. Ans:-(A) Regressive model predicts a numeric value instead of category.
Detailed explanation-2: -2) Which of the following is an example of a deterministic algorithm? A deterministic algorithm is that in which output does not change on different runs. PCA would give the same result if we run again, but not k-means.
Detailed explanation-3: -The training model is used to run the input data through the algorithm to correlate the processed output against the sample output. The result from this correlation is used to modify the model. This iterative process is called “model fitting”.