MonkeyLearn - Explore the confusion matrix

The confusion matrix is great way to visualize the performance of a classifier and detect false positives and false negatives within your data. Now you can click on the confusion matrix and check out which samples are causing the confusions, making it much easier to clean and curate the training data to improve classifiers.