Neural networks are common for large data mining projects to analyze a data set involving millions of observations.
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Q17: If the outcome variable is quantitative and
Q18: To avoid overfitting in the neural network
Q19: The AIC never penalizes the model for
Q20: Neural network modeling represents the response variable
Q21: In logistic regression, _ is used as
Q23: After calculating the squared differences in linear
Q24: In linear discriminate analysis we calculate the
Q25: In logistic regression,
A) the dependent variable is
Q26: In logistic regression, deviance is a measure
Q27: The dependent variable in logistic regression can
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