A simple Naive Bayes classification of San Francisco crime categories using the dataset on Kaggle.
This script produces the actual predicted classifications rather than the probabilities of each class label, which is the Kaggle submission format.
The submission scored in the top 3rd of all submissions and only 0.31437 error points from the top, which seems pretty good given the simplicity of the algorithm.
Leon Raykin
2.7