You can use the module called Cross Validate Model. Once that is done, you can evaluate which algorithm worked the best by adding Filter-based-feature selection.
The cross validate model splits the input in different chunks and reserves the last column as the answer. It then trains the other 9 chunks and measures it with the answer piece to return the accuracy.