Knime, Kaggle

The work need to build classifiers using the techniques. At the very minimum, you need to produce a classifier for each method (DT, KNN, RF, SVM and NN). However, if you explore the problem very thoroughly, preprocessing the data, looking at different methods, choosing their best parameter settings and identifying the best classifier in a principled and explainable way, will be needed. If you choose to use KNIME and you show 'expert' use (i.e. exploring multiple classifiers, with different settings, choosing the best in a principled way and being able to explain why you built the model the way you did), optimize and test different models, this will be better.