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│ computation suite │
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cs.naive-bayes-probability Calculator
Calculates posterior probability using Naive Bayes classification from prior class probabilities and feature likelihoods, showing classification confidence. Naive Bayes is a strong baseline for text classification — understanding its calculation clarifies where the 'naive' independence assumption breaks down.
Inputs
Prior Class1 Pct
Reference formula or conversion factor shown for context.
Likelihood Feat Class1
Reference formula or conversion factor shown for context.
Likelihood Feat Class2
Reference formula or conversion factor shown for context.
Results
P(Class1 | feature)
The classification assigned based on the computed value.
P(Class2 | feature)
The classification assigned based on the computed value.
Bayes factor
A dimensionless multiplier applied in the calculation.
prior P(Class1)
The classification assigned based on the computed value.
Bayes theorem: P(C|x)=P(x|C)P(C)/P(x)
Reference formula or conversion factor shown for context.
predicted class
The classification assigned based on the computed value.