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
Loss Function
Math function measuring prediction vs actual value difference
Confusion Matrix
Table visualizing classifier performance by class predictions
Imbalanced Learning
Handling datasets with unequal class distributions
Survival Analysis
Statistical methods analyzing time until an event occurs
Multi-Task Learning
Training one model for multiple related tasks simultaneously
AdaBoost
Combining weak classifiers with adaptive sample weighting