Enterprise Internet of Things Handbook

Score model

Now that we have trained the model, we will see how well this model works on the testing dataset. As we saw in the experiment, the test data output from the Split Data item is fed into Select Columns in Dataset.

In the Select Columns in Dataset section, we select the columns that need to go in as inputs to the model so we can predict the output. Here, we have selected the temperature and humidity columns, and we are going to predict the isRain property.

The output of Select Columns in Dataset is fed into Score Model, along with the output of the Train Model.

If we right-click on the output of Score Model, we should see a new column named Scored Probabilities, which shows the results of our prediction against the original isRain ...