Question #4 - Reading 3 Machine Learning

Reading: Reading 3 Machine Learning

PDF File: Reading 3 Machine Learning.pdf

Page: 2

Status: Unattempted

Correct Answer: A

Shared Context

- After Tan implements a particular new supervised machine learning algorithm, she begins to suspect that the holdout samples she is using are reducing the training set size too much. As a result, she begins to make use of K-fold cross-validation. In the K-fold cross-validation technique, after Tan shuffles the data randomly it is most likely that: A) k – 1 samples will be used as validation samples. B) k – 1 samples will be used as training samples. C) the data will be divided into k – 1 equal sub-samples.

Question

At first Tan bases her stock picks on the results of a single machine-learning model, but then begins to wonder if she should instead be using the predictions of a group of models. Compared to a single machine-learning model, an ensemble machine learning algorithm is most likely to produce predictions that are:

Answer Choices:

A. more accurate and more stable

B. more precise but less dependable

C. less reliable but more steady

Explanation

Ensemble learning, which is a technique of combining the predictions from a number of models, generally results in more accurate and more stable predictions than a single model.

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