Choose the correct statements for logistic regression: 1. Pearson's correlation coefficient could be used for moel evaluations statistics in some classification problems. 2. If the decision boundary in a classification problem is overly complicated, the model might not generalize well. 3. We can use mean squared error in the case of logistic regression for comparison. 4. Accuracy is a good criterion for model evaluations in all kinds of classification problems. 5. The logisitc function has only one point of inflection.
Choose the correct statements for logistic regression: 1. Pearson's correlation coefficient could be used for moel evaluations statistics in some classification problems. 2. If the decision boundary in a classification problem is overly complicated, the model might not generalize well. 3. We can use mean squared error in the case of logistic regression for comparison. 4. Accuracy is a good criterion for model evaluations in all kinds of classification problems. 5. The logisitc function has only one point of inflection.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Choose the correct statements for logistic regression:
1. Pearson's
2. If the decision boundary in a classification problem is overly complicated, the model might not generalize well.
3. We can use mean squared error in the case of logistic regression for comparison.
4. Accuracy is a good criterion for model evaluations in all kinds of classification problems.
5. The logisitc
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