1) Random search outperforms grid search when:
A) Many irrelevant hyperparameters
2) Does cross-validation reduce variance of performance estimate?
A) Yes
3) Is PCA supervised?
A) It can be adapted
4) Scaling affects K-Means because:
A) It uses distance metric
5) PCA improves classification accuracy:
A) It depends on dataset
6) LOOCV has:
A) High variance
7) Increasing dataset size reduces:
A) Variance
8) Overfitting can still occur with cross-validation if:
A) Data leakage exists
9) PCA components are:
A) Uncorrelated but not necessarily independent
10) K-Means converges to:
A) Local minimum
11) Does dimensionality reduction always reduce overfitting?
A) It depends
12) Hierarchical clustering requires:
A) Distance metric