Projects

Question 1

What does make_scorer do in sklearn?

P 342

Answer 1

To use our custom performance metric, we can
use the make scorer() scikit-learn function that takes the name of our custom function and creates a metric that we can use to evaluate models with the scikit-learn API.

Question 2

SMOTE and ENN both work better when the input data is scaled beforehand. True/False why?

P 374

Answer 2

True, This is because both techniques involve using the nearest neighbor algorithm internally and this algorithm is sensitive to input variables with different scales.

Question 3

Kde plots are somewhat like smoothed histograms, what does the difference between the shapes of kde plots of a variable for two classes mean?

P 433

Answer 3

Yes. We can see that the distributions for many variables do differ for the two class labels, suggesting that some reasonable discrimination between the classes will be feasible