Then, we perform a numerical study to compare the performance of rule-based model with optimal resequencing model.
To demonstrate the performance of rule-based comparisons, we conducted an experiment on the purchase of books based on real-world data from five leading online bookstores.
Because rules are tested based on independent data (the intrinsic test data), performance values reflect expected performance of rules, an independent verification that gives a more reliable estimate of true rule performance.
However, the performance of rule-based approaches is significantly lower, especially in terms of recall.
We found discrimination performance of rule-based schema associations within the AG, significantly above the permutation threshold (Author response image 5).
Mean ± standard error of the mean for performances of rule induction and tree induction models are presented in Table 2. Metal cation homeostasis is essential for plant nutrition and tolerance to toxic heavy metals.
Once a variety of rules are generated, the performance of each rule is measured as the probability of correct prediction.
However, as the performance of this rule was poorer than that of the rule obtained by logistic regression, we decided to report exclusively the data concerning the rule derived using the latter method.
Because rules are tested based on independent data (intrinsic test data), performance values reflect the expected performance of the rule, an independent verification that gives a more reliable estimate of true rule performance.
Because rules are tested based on independent data (intrinsic test data), performance values reflect the expected (general) performance of the rule, an independent verification that gives a more reliable estimate of true rule performance.
