Quiz Time: How Much Do You Know?

multiplechoice

Which of the following statement is the correct one?

multiplechoice

Select which of the following scenarios are classification problems.

multiplechoice

At what point in the pipeline process are the parameters adjusted?

multiplechoice

What are some common evaluation metrics used for classification tasks?

multiplechoice

Decision trees can be used for both classification and regression tasks.

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In a learning problem with 2D features, what is the relationship between decision tree and 1-nearest neighbor decision boundaries?

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What does 'naive' mean in Naive Bayes?

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How does ensemble learning improve model performance?

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Given a confusion matrix for a binary classification problem, how would you compute the precision score?

input

We build a model and test it on a set of 100 customer records, and the resulting confusion matrix is as follows:

	Predicted Negative	Predicted Positive
Actual Negative	70	10
Actual Positive	5	15

Compute the precision score to one decimal place

multiplechoice

We build a model and test it on a set of 100 customer records, and the resulting confusion matrix is as follows:

	Predicted Negative	Predicted Positive
Actual Negative	80	5
Actual Positive	5	20

Compute the recall score to one decimal place

multiplechoice

As a reviewer for an international conference, you have been given papers with different experimental setups to review. Based on the content of each paper, would you recommend accepting or rejecting them?

In comparison to your algorithm, mine appears to be more effective. I suggest observing the training error rates for confirmation.

multiplechoice

For k cross-validation, larger k value implies more bias.

multiplechoice

Let´s suppose three classifications model are built to discriminate apples from bananas. The following table shows the results obtained according to these algorithms:

model	Model 1	Model 2	Model 3
Accuracy (training)	0.99	0.93	0.99
Accuracy (testing)	0.90	0.75	0.10

Verónica Barraza

Project Activities

Which of the following statement is the correct one?

Select which of the following scenarios are classification problems.

At what point in the pipeline process are the parameters adjusted?

What are some common evaluation metrics used for classification tasks?

Decision trees can be used for both classification and regression tasks.

In a learning problem with 2D features, what is the relationship between decision tree and 1-nearest neighbor decision boundaries?

What does 'naive' mean in Naive Bayes?

How does ensemble learning improve model performance?

Given a confusion matrix for a binary classification problem, how would you compute the precision score?

We build a model and test it on a set of 100 customer records, and the resulting confusion matrix is as follows:

We build a model and test it on a set of 100 customer records, and the resulting confusion matrix is as follows:

As a reviewer for an international conference, you have been given papers with different experimental setups to review. Based on the content of each paper, would you recommend accepting or rejecting them?

For k cross-validation, larger k value implies more bias.

Let´s suppose three classifications model are built to discriminate apples from bananas. The following table shows the results obtained according to these algorithms:

Verónica Barraza

Classification in Depth with Scikit-Learn

Set Operations using Sakila

LIKE Operator using World

Membership and Range Operators with World Database