I have a few questions I need help with Statement: When we build a nearest neighbor model, we shall not remove the redundant dummies when coding a categorical variable. True or False Statement: One reason why a neural network model often requires a significant number of data observations to train is that it often has a significant number of model parameters to estimate even if there are only a few predictors. True or False. Which of the following statements about confusion matrix is wrong A) Confusion matrix is a performance measure for probability prediction techniques B) Confusion matrix is derived based on classification rules with cut-off value 0.5 C) Confusion matrix is derived based on training partition to measure a model’s predictive performance D) None of the above
I have a few questions I need help with
Statement: When we build a nearest neighbor model, we shall not remove the redundant dummies when coding a categorical variable. True or False
Statement: One reason why a neural network model often requires a significant number of data observations to train is that it often has a significant number of model parameters to estimate even if there are only a few predictors. True or False.
Which of the following statements about confusion matrix is wrong
A) Confusion matrix is a performance measure for probability prediction techniques
B) Confusion matrix is derived based on classification rules with cut-off value 0.5
C) Confusion matrix is derived based on training partition to measure a model’s predictive performance
D) None of the above
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