Iris Dataset classification task with Gaussian Classifiers.
No ML Library, only low level algorithms.
- Multivariate Gaussian Classifer
- Naive Bayes Gaussian Classifer
- Tied Covariance Gaussian Classifer
- Tied Naive Bayes Classifier
- 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.