Machine Learning
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Naive Bayes
Quick Definition
Probabilistic classifier using Bayes theorem with independence
Full Definition
A probabilistic classifier based on Bayes theorem with the assumption of feature independence.
Examples
spam filtering, text classification, sentiment analysis
Related Terms
bayesian-learning
classification
More Machine Learning Terms
Active Learning
Algorithm selecting most informative data points for labeling
Underfitting
When a model is too simple to capture data patterns
Decision Tree
Tree-like model splitting data based on feature values
Imbalanced Learning
Handling datasets with unequal class distributions
Gaussian Mixture Model
Probabilistic model using multiple Gaussian distributions
Polynomial Regression
Extending linear models with polynomial features for nonlinear data