By using the classification algorithms (mentioned below) in weka tool:

Given following datasets in the attachment Training Test By using the classification algorithms (mentioned below) in weka tool: Train the algorithm using the data given in the training data set file. Classify the data given in the test data set file. Algorithms to use: ID3 (in weka it’s called as J48 (modified ID3 algorithm) which accepts different attribute types, available under "trees" folder in classifiers) KNN (in weka it’s called as IBK, available under "lazy" folder in classifiers) Backpropagation (in weka it’s called multilayer perceptron, available under "functions" folder in classifiers) For KNN change the k values and analyze the results that you obtained. Similarly, for the backpropagation algorithm change the number hidden layers and analyze the results that you obtained. If you want, you can change other parameters also. What to submit: Confusion matrices that you obtained for the 3 algorithms and the analysis of the results. Please submit all of your results in a single pdf or word document.