Exhibit 10.1
The following questions are based on the problem description and the output below.
A college admissions officer wants to evaluate graduate school applicants based on their GMAT scores, verbal and quantitative. Students are classified as either successful or not-successful in their graduate studies. The officer has data on 20 current students, ten of whom are doing very well (Group 1) and ten who are not (Group 2) .
-Refer to Exhibit 10.1. What percentage of the observations is classified correctly?
A) 90%
B) 80%
C) 85%
D) 100%
Correct Answer:
Verified
Q77: To create the training and validation data
Q78: A way to detecting and avoiding overfitting
Q79: Suppose that all observations in partition j
Q80: In using neural networks, an analyst must
Q81: The objective function in k-means clustering attempts
Q83: Two common ways of measuring impurity are
Q84: Before effectively applying the k nearest neighbor
Q85: Technique(s) used in association step of data
Q86: A correlation coefficient
A) measures the strength of
Q87: In preparation for mining an analyst should
A)
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