Note that the first row in the training data set is a header row specifying the column names. The response column (i.e. the "y" column) we want to make predictions for is Label. It's a binary column, so we want to build a classification model. The response column is categorical, and contains two levels, 'cat' and 'dog'. Note that the ratio of dogs to cats is 3:1. The remaining columns are all inpu
![Streaming Data | H2O World Training](https://cdn-ak-scissors.b.st-hatena.com/image/square/44c5605999baf35c2e4bb47b571fa5374da985c6/height=288;version=1;width=512/http%3A%2F%2Flearn.h2o.ai%2Fcontent%2Fdemos%2Fimages%2Fij_11.png)