True or False? Why? b. Decision trees or Naive Bayes produce more understandable and interpretable results for the modeled dataset compared to Artificial Neural Networks (including Deep Learning). c....

Extracted text: True or False? Why? b. Decision trees or Naive Bayes produce more understandable and interpretable results for the modeled dataset compared to Artificial Neural Networks (including Deep Learning). c. I get information about the performance of the classification model through the Confusion matrix with which R? statistics is calculated. d. I can also use the measurement metrics used for the similarity of the two data for the clustering process. e. For association analysis, thresholding is made with data objects with values above the Support value, and the confidence values are checked for the rest. f. I can also evaluate the results of association analysis with the Silhouette method.