1. Which of the following is true as it describes the Naïve Rule Classify all re

ID: 3577606 • Letter: 1

Question

1. Which of the following is true as it describes the Naïve Rule

Classify all records as belonging to the most prevalent class

Is another term for Naïve Bayes

Often used as benchmark

Using external predictor info should outperform the Naïve Rule

All of the above

2.Whish of the following characterizes k-nearest neighbors:

Used for classification (categorical outcome) or Prediction (numerical outcome)

Highly automated, data driven method

Rules on distance between records to determine neighbors

Used R-Squared to evaluate performance

All of the Above

3.Correlation Analysis is a key step in Dimension Reduction

True

False

4.A model that fits the training data perfectly leaving no error (residuals) is likely to perform well with new data

True

False

5.A chart that plots the pairs (Sensitivity, 1-Speciality), as cutoff value increases from 0 and 1 is known as a ROC curve

True

False

1) In Naive rule or naive Bayes the basic principle is simple. for each record to be classified

find all the other records with the same predictor profile.

Determine what classes the records belong to and which class is most prevalent.

assign that class to the new record.

The naive rule is used mainly as a baseline or benchmark for evaluating the performance

hence answer is all the above.

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