Machine Learning Automation with TPOT by Dario Radečić

Author:Dario Radečić
Language: eng
Format: mobi, epub
Publisher: Packt Publishing Pvt Ltd
Published: 2021-04-06T16:00:00+00:00

Figure 3.25 – Accuracies of the baseline model and TPOT optimized model on the test set (Titanic)

As you can see, the simple accuracy metric tells a similar story – the model built by TPOT is still better than the baseline one.

We are near the end of this practical example. There are two optional things left to do. The first one is to take a look at the optimal pipeline. You can obtain it with the following line of code:pipeline_optimizer.fitted_pipeline_

The optimal pipeline is shown in the following figure:

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