Data Science Supervised Learning Models 4

Question 1

What does a ROC curve plot?

Accepted Answer

True positive rate vs false positive rate

Answer

The ROC curve shows the tradeoff between true positive rate and false positive rate across thresholds.

Question 2

An AUC of 0.5 indicates what about a classifier?

Accepted Answer

Performance no better than random guessing

Answer

An AUC of 0.5 means the model cannot distinguish classes better than chance.

Question 3

What is cross-validation primarily used for?

Accepted Answer

Estimating model performance on unseen data

Answer

Cross-validation partitions data into folds to get a more reliable generalization estimate.

Question 4

Which technique handles categorical features for a linear model?

Accepted Answer

One-hot encoding

Answer

One-hot encoding converts categories into binary indicator columns usable by linear models.

Question 5

What does early stopping prevent during training?

Accepted Answer

Overfitting by halting when validation loss stops improving

Answer

Early stopping ends training once validation performance degrades, avoiding overfitting.

Data Science Practice Test