Question 15 pts

Type of anomalies: (Choose all that apply)

Group of answer choices

Contextual (Conditional) Anomalies

Collective Anomalies

Point Anomalies

Standard error of the coefficient (SE)

Flag question: Question 2Question 25 pts

Anomalies are something that is not supposed to happen?

Group of answer choices

True

False

Flag question: Question 3Question 35 pts

Anomaly Detection is: (Choose all that apply)

Group of answer choices

Is the search for items or events which do not conform to an expected pattern

Is a pattern in the data that does not conform to the expected behavior

Is often used in preprocessing to remove anomalous data from the dataset

Is referred to as outlier, change, deviation, surprise, aberrant, peculiarity, intrusion, etc.

Flag question: Question 4Question 45 pts

Accuracy is sufficient metric for evaluation

Group of answer choices

True

False

Flag question: Question 5Question 55 pts

Causes of Anomalies: (Choose all that apply)

Group of answer choices

Natural variation

Data errors

Data from different classes

Flag question: Question 6Question 65 pts

Anomaly Detection output can either be label or score?

Group of answer choices

True

False

Flag question: Question 7Question 75 pts

Effects of Anomalies: (Choose all that apply)

Group of answer choices

Skew Data

Failure to generalize

Misleading results

Distorted relationships

Flag question: Question 8Question 85 pts

An individual data instance is anomalous if it does not deviates significantly from the rest of the data set.

Group of answer choices

True

False

Flag question: Question 9Question 95 pts

How to fix outliers:(Choose all that apply)

Group of answer choices

Ignore and use robust method

Measure their distances

Delete them

Transform them

Flag question: Question 10Question 105 pts

Anomalies can not distort statistics

Group of answer choices

True

False