I’ve published a working paper demonstrating the accuracy of my model of AI when applied to four UCI datasets, which you can find on my researchgate homepage.
Over the four classification problems, the categorization algorithm had an average success rate of 92.833%, where success is measured by the percentage of categories that are consistent with the hidden classification data. Over the four classification problems, the prediction algorithm had an average success rate of 93.497%, where success is measured by the percentage of predictions that are consistent with the hidden classification data. All of the code necessary to run these algorithms, and apply them to the training data, is available on my researchgate homepage.
I’ve also attached a pdf of the working paper here.
A New Model of Artificial Intelligence: Application to Data I
Information Overload 