A Comparative Study of Decision Tree and Naive Bayes Machine Learning Model for Crime Category Prediction in Chicago.
Bshayer S. AldossariFutun M. AlqahtaniNoura S. AlshahraniManar M. AlhammamRazan M. AlzamananNida Aslam IrfanullahPublished in: ICCDE (2020)
Keyphrases
- decision trees
- naive bayes
- machine learning
- logistic regression
- independence assumption
- prediction accuracy
- classification algorithm
- text categorization
- text classification
- text mining
- information gain
- machine learning algorithms
- feature selection
- training data
- prior knowledge
- natural language
- decision tree learning algorithms
- naive bayes classifier
- text classifiers
- feature extraction
- classification models
- bayesian networks
- loss function
- probability distribution
- pairwise
- active learning
- classification accuracy
- graphical models
- data sets
- natural language processing
- information extraction
- support vector machine