Invasive neurophysiology merk

Question 1

Training is the process of..
a. teaching a machine learning model by presenting it with a labeled data set
b. final evaluation of a machine learning modelˋs performance on unseen data

Answer 1

a.

Question 2

Testing is the process of..
a. teaching a machine learning model by presenting it with a labeled data set
b. final evaluation of a machine learning modelˋs performance on unseen data

Answer 2

b.

Question 3

Underfitting refers to…

a. a ML model too simple to capture the underlying patterns/relationships in training data
b. a ML model fails to generalize new, unseen data

Answer 3

a.

Question 4

overfitting refers to…

a. a ML model too simple to capture the underlying patterns/relationships in training data
b. a ML model fails to generalize new, unseen data

Answer 4

b., model is too complex

Question 5

in crossvalidation…

a. the ML model is first evaluated on its performance before it can proceed to the next subset
b. the dataset is divided into multiple subsets and the model is trained on these subsets (folds) and evaluated on remaining fold

Answer 5

b.

Question 6

Feature extraction in movement decoding means…

a. An algorithm for compressing data to reduce storage requirements while moving
b. A technique for removing noise and artifacts from signals from the EcoG device
c. A mathematical operation that calculates statistical properties of the dataset of motor activity
d. A method to analyze signals in time and frequency domains to identify patterns associated wwith specific motor commands using Wavelet transform

Answer 6

d.