Multiple Choice
To validate the model on the validation set, Mary calibrates the output of the model to examining all possible outcomes of the prediction (true positive, true negative, false positive, false negative) . One way is to use a cutoff value and use functions such as the ifelse () function. These statements are called
A) prediction.
B) set.seed.
C) reference.
D) confusionMatrix.
Correct Answer:

Verified
Correct Answer:
Verified
Q9: What is the Euclidean distance between Observation
Q10: The chart below is a summary of
Q11: An R's ROC curve with AUC =
Q12: Marta is partitioning her data set into
Q13: If the performance measures from the training
Q15: Naïve Bayes classifiers are relatively simple, efficient,
Q16: This chart determines how well the model
Q17: The chart below is a summary of
Q18: Mark is reviewing a partial summary of
Q19: Using the following table, what is the