Naive Bayes classifiers and Bayesian Networks to handle uncertainty and integrate prior knowledge in risk assessment. The … Naive Bayes model achieved an 87.5% accuracy in predicting risk partitions. With the Bayesian Network providing insights …

classifiers, and naive Bayes gave us a relatively higher accuracy than other algorithms in terms of overall accuracy and F1 scores …

, parking, commercial, and tram. We trained a generative model (Naïve Bayes classifier) to study explanatory variables that …

.e., nominal, integer, binary, and float). We then classify them using different versions of the Naive Bayes classifier. After that …

-nearest neighbor algorithm, naïve Bayes, kernel naïve Bayes, decision trees, and support vector machine to distinguish between eleven …, followed by kernel naïve Bayes (91.9%), radial basis function (Gaussian) support vector machine (89.3%), linear discriminant … analysis (84.5%), k-NN algorithm (80.5%), and Gaussian naïve Bayes (71.3%). Accordingly, the choice of statistical machine …