cloudsandai

Gaussian Naive Bayes: An Interactive Lab

Explore how class priors and Gaussian feature likelihoods combine to make probabilistic classifications.

Interactive model

Gaussian Naive Bayes

Explore probabilistic classification with two numeric features and adjustable variance smoothing.

Study hours 1, practice tests 1, class 0Study hours 1, practice tests 3, class 0Study hours 1, practice tests 5, class 0Study hours 1, practice tests 7, class 0Study hours 1, practice tests 9, class 0Study hours 3, practice tests 1, class 0Study hours 3, practice tests 3, class 0Study hours 3, practice tests 5, class 0Study hours 3, practice tests 7, class 0Study hours 3, practice tests 9, class 1Study hours 5, practice tests 1, class 0Study hours 5, practice tests 3, class 0Study hours 5, practice tests 5, class 0Study hours 5, practice tests 7, class 1Study hours 5, practice tests 9, class 1Study hours 7, practice tests 1, class 0Study hours 7, practice tests 3, class 0Study hours 7, practice tests 5, class 1Study hours 7, practice tests 7, class 1Study hours 7, practice tests 9, class 1Study hours 9, practice tests 1, class 0Study hours 9, practice tests 3, class 1Study hours 9, practice tests 5, class 1Study hours 9, practice tests 7, class 1Study hours 9, practice tests 9, class 1youStudy hoursPractice tests
Class 0 Class 1 Predicted class region

Click anywhere on the chart to place a point and explore its result.

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