General Terms Flashcards
1
Q
Impution
A
xxx
2
Q
Permutation
A
xxx
3
Q
hyperparameter
A
xxx
4
Q
feature/data scaling
A
xxx
5
Q
scaler
A
xxx
6
Q
multi-class classification
A
xxx
7
Q
binary classification
A
xxx
8
Q
parameter sweep
A
xxx
9
Q
training loss, validation loss, training accuracy, and validation accuracy
A
xxxx
10
Q
clustering
A
xxx
11
Q
centroids
A
xxx
12
Q
overfitting
A
xxx
13
Q
data imbalance
A
xxx
14
Q
feature extraction
feature selection
feature reduction
A
xxx
15
Q
cost factor
A
xxx
