With the Evaluate Model, you can also compare two models side by side in the same experiment. The two input ports of the module can take the output from the two Score modules and generate the evaluation matrix to compare the output from the two inputs that the module accepts. As shown in the following screenshot:
The Boosted Decision Tree Regression module is another regression algorithm that comes with ML Studio. It is an ensemble model like decision forest, but is a bit different.
Here, we will use both the Boosted Decision Tree Regression and Neural Network Regression modules in the same experiment and compare both using the Evaluate Model. We will use the Sweep Parameters module in both cases, to train the algorithm.
Create a new experiment and drag the same sample dataset—the Automobile price data (Raw) module. Then, use the two algorithms with the same training dataset (80 percent...