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
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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.

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