Point out the correct statement.(a) Combining classifiers improves interpretability(b) Combining classifiers reduces accuracy(c) Combining classifiers improves accuracy(d) All of the mentionedI got this question in a job interview.My doubt stems from Model Based Prediction topic in chapter Machine Learning of Data Science

Point out the correct statement.(a) Combining classifiers improves int

1.	Point out the correct statement.(a) Combining classifiers improves interpretability(b) Combining classifiers reduces accuracy(c) Combining classifiers improves accuracy(d) All of the mentionedI got this question in a job interview.My doubt stems from Model Based Prediction topic in chapter Machine Learning of Data Science
Answer» CORRECT choice is (c) COMBINING CLASSIFIERS improves accuracy The EXPLANATION: You can combine classifier by AVERAGING.

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We have below data with 10 transactions. What is the “Lift Ratio” for “if white then blue”?
Transactions#FaceplateColorsPurchased1redwhitegreen2whiteorange3whiteblue4redwhiteorange5redblue6whiteblue7whiteorange8redwhitebluegreen9redwhiteblue10yellow
We have below data with 10 transactions. What is the performance measure “Confidence” for “if white then blue”?
Transaction#FaceplateColorsPurchased1redwhitegreen2whiteorange3whiteblue4redwhiteorange5redblue6whiteblue7whiteorange8redwhitebluegreen9redwhiteblue10yellow
We have below data with 10 transactions. What is the performance measure “Support” for “if white then blue”?
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When is Ridge regression used and when is Lasso regression (ideally)?

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