Question

Q1-If you have a data set with some predictor variables, and use the PolynomialFeatures feature of Scikit-Learn, additional features will be added to your data set. Which of the following kinds of features will be added? (select all that apply)

a-features obtained by multiplying existing different features together
b-features obtained by adding existing features together
c-features obtained by multiplying the same feature by itself
d-features obtained by taking the logarithm of existing features
Q2-If you prune a classification tree (in other words, reduce its depth), you will probably reduce its error on the training data.
-True
-False
Q3-The most serious problem associated with a decision tree that is too deep is:
a-cost of classification
b-cost of training
c-overfitting
d-underfitting

Answer 1

Q1-If you have a data set with some predictor variables, and use the PolynomialFeatures feature of Scikit-Learn, additional features will be added to your data set. Which of the following kinds of features will be added? (select all that apply) a-features obtained by multiplying existing different features together c-features obtained by multiplying the same feature by itself

Q2-If you prune a classification tree (in other words, reduce its depth), you will probably reduce its error on the training data. -True

Q3-The most serious problem associated with a decision tree that is too deep is: c-overfitting

Step-by-step explanation: