(Rule-Based Classifier) Consider the decision tree Convert the decision tree into a set of classification rule sets Are the rules mutually exclusive? Is the rule…

(Rule-Based Classifier) Consider the decision tree

Convert the decision tree into a set of classification rule sets

Are the rules mutually exclusive?

Is the rule set exhaustive?

Is ordering needed for this set of rules?

Do you need a default class for the rule set?

(Nearest Neighbor Classifier) The table below lists a dataset that was used to create a nearest neighbor model that predicts whether it will be a good day to go surfing

ID

Wave Size (Ft)

Wave Period (secs)

Wind Speed (mph)

Good Surf

1

6

15

5

Yes

2

1

6

9

No

3

7

10

4

Yes

4

7

12

3

Yes

5

2

2

10

No

6

10

2

20

No

Assuming that the model uses Euclidean distance to find the k-nearest neighbor, what prediction will the model return for the following query instances when k = 1, 3?

Wave Size (Ft)

Wave Period (secs)

Wind Speed (mph)

Good Surf

5

6

7

?

(Naïve Bayes Classifier) The table below gives details of symptoms that patients presented and whether they were suffering from

ID

Headache

Fever

Vomiting

Meningitis

1

True

True

False

False

2

False

True

False

False

3

True

False

True

False

4

True

False

True

False

5

False

True

False

True

6

True

False

True

False

7

True

False

True

False

8

True

False

True

True

9

False

True

False

False

10

True

False

True

True

Headache

Fever

Vomit

Meningitis

False

False

True

?

Using a naïve Bayes classifier to determine whether a patient with the above symptoms have meningitis.

(Bayesian Network) Given the Bayesian Network below, what is the joint probability distribution P(Exercise = Yes, Diet = Healthy, Heart Disease = No, Chest Pain = No, Blood Pressure = low)?

(Perceptron) Given the perceptron Y = sign(0.4X1+0.3X2+0.7X3-0.5). What is the prediction when X1=0.5, X2=-0.5, X3=0.8?

(SVM) Given w = (0.4, 0.3, 0.7) and b = -0.5.

What is the margin of the SVM?

What is the prediction when X1=-0.5, X2=-0.5, X3=0.8? (2 points)

(Performance Evaluations) Given the confusion matrix

Calculate the accuracy

Calculate the F-measure

Assignment status: Solved by our experts

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