The target of the task is to work on given datasets, a training set for training and optimizing your model (it contains the target values), an "unknown" set for the final model assessment, a training set, and a test set. The training set includes an additional attribute called “predicted attribute” and by applying different classifiers to the training set, the missing attribute from the test set should be predicted by the best classifier in terms of accuracy and F-score. All results on this report have been achieved via KNIME , python.... Mehr lesen