Naive Bayes explained: it trained in 0.008 s and weighs 1.3 KB, but 62 % of its probabilities landed at the edges

Name: Naive Bayes explained: it trained in 0.008 s and weighs 1.3 KB, but 62 % of its probabilities landed at the edges
Uploaded: 2026-09-15T00:00:00.000Z
Duration: 47 s
Description: In 47 seconds, narrated: the whole model weighs 1.3 kilobytes and was fitted in eight milliseconds; how it looks at each variable separately inside each class; what happens when a column is copied seven times; why six out of ten days get a probability pinned to zero or to one; and how it behaves with only thirty training rows. Muted by default: turn the sound on in the controls.

In 47 seconds, narrated: the whole model weighs 1.3 kilobytes and was fitted in eight milliseconds; how it looks at each variable separately inside each class; what happens when a column is copied seven times; why six out of ten days get a probability pinned to zero or to one; and how it behaves with only thirty training rows. Muted by default: turn the sound on in the controls.

Length: 47 s
Published: 14 September 2026

Machine learningAlgoritmosPythonDatos

This reel sums up Naive Bayes explained: it trained in 0.008 s and weighs 1.3 KB, but 62 % of its probabilities landed at the edges, where the method, the tables and what did not work are.

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