Figure 4.

The 3 most important temporal association rules extracted to forecast CRI identified by TITARL. For each rule, we show its graphical representation and report basic statistics (confidence, support, and number of uses) observed on the training, validation, and testing data, respectively. We also provide a literal, plain English description of each rule. Since the experiment was run with a 10-fold cross-validation, the test dataset is 9 times smaller than the train and validation dataset in each iteration. This explains lower usage frequencies of the rules observed on the testing data when compared to the same figures for the training and validation sets.