Building Sentiment Predictor Exercise

In this example exercise, you will modify the Building Sentiment Workflow and try different Machine Learning algorithms and compute its performance using ROC Curve and Scorer node.

To begin with, data has been partitioned for you as in the original workflow. Your task is to try different Learner nodes and monitor each of its performance by using its corresponding Predictor node and find its accuracy.

- Can you tell which algorithm performed better than SVM?
- Which algorithm is trained faster?