* Topic-Similar_BugReports are extracted and input into the Naive
Bayes Multinomial algorithm.
A closer look to the behaviour of both
Bayes Factor estimations (Table 2) reveals that the BIC-based estimation tends to favour the [H.sub.0] against the [H.sub.1] when the p-value calibration finds substantial, strong, very strong or decisive evidences for [H.sub.1].
It can be seen that
Bayes algorithm takes the least time, and the decision tree algorithm takes more time than
Bayes.
Caption: FIGURE 2: The ROC of the KNN, SVM, and Naive
Bayes compared with the integrated classifiers on ultrasound images.
(3) Thus, using
Bayes' theorem, the conditional probability can be decomposed as
Some software tools support data mining processes, allowing management of large volumes of data, which is the case of Weka--developed in Waikato in New Zealand and which in this study shows results of the process of the Naive
Bayes and C4.5 algorithms (denominated J48 in the Weka tool).
[[??].sup.2.sub.t(
Bayes)] = 0.0303 + 0.0951[[epsilon].sup.2.sub.t-1] + 0.8854[[sigma].sup.2.sub.t-1] (9)
The first stage is to apply Naive
Bayes algorithm and classifies the preprocessed data sets.
In order to solve this problem, in consideration of the correlation between the total emergency loss and the delay of the emergency supplies, the total loss
Bayes risk function of the disaster area is formulated.
This paper attempted to study the Naive
Bayes algorithm's performance for dataset of different sizes.