Hands-On Genetic Algorithms with Python

Evaluating the classifier's accuracy

Let's start with a Python class that encapsulates the MLP classifier's accuracy evaluation for the Iris dataset. The class is called MlpLayersTest and can be found in the mlp_layers_test.py file, which is located at https://github.com/PacktPublishing/Hands-On-Genetic-Algorithms-with-Python/blob/master/Chapter09/mlp_layers_test.py.

The main functionality of this class is highlighted as follows:

1. The convertParam() method of the class takes a list called params. This is actually the chromosome that we described in the previous subsection and contains the float values that represent up to four hidden layers. The method transforms this list of floats into the hidden_layer_sizes tuple:

if round(params[1]) ...