Datamining Weka software

You are required to search for at least 20 different datasets with a maximum of 40 datasets. You are then required to apply the following classification techniques using the WEKA software on the chosen datasets: (1) Decision tree (SimpleCart), (2) Naïve Bayes, and (3) K-NN (IBk) (with K taking the value of 1 up to the number of class labels in the dataset) Once you have applied WEKA on all the datasets, it is required to accomplish the following tasks: Compare the performance of the applied techniques you have achieved through WEKA. Analyse the results with regards to the dataset properties. Write a report of no longer than 1000 words detailing the results you have reached in (1) and (2) with recommendations on the choice of the data mining technique according to the features of the dataset.