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Iris Dataset classification with Gaussian Classifiers. No ML Library, low level algorithms.

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Gaussian-Classifiers

Iris Dataset classification task with Gaussian Classifiers.

No ML Library, only low level algorithms.

List of classifiers:

  1. Multivariate Gaussian Classifer
  2. Naive Bayes Gaussian Classifer
  3. Tied Covariance Gaussian Classifer
  4. Tied Naive Bayes Classifier

Evaluation:

  • On the first iteration the classifiers are used with 2/3 as training set and 1/3 as evaluation set.
  • On the second iteration the classifiers are applied with leave one out approach and the global accuracy is calculated as mean of all evaluation results.

No matrix has been mistreated to make this software but handle with care and awareness.

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Iris Dataset classification with Gaussian Classifiers. No ML Library, low level algorithms.

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