Hands-On Genetic Algorithms with Python

Evaluating the classifier accuracy

We start with a Python class encapsulating the classifier's accuracy evaluation, called HyperparameterTuningGenetic. This class can be found in the hyperparameter_tuning_genetic_test.py file, which is located at https://github.com/PacktPublishing/Hands-On-Genetic-Algorithms-with-Python/blob/master/Chapter08/hyperparameter_tuning_genetic_test.py.

The main functionality of this class is highlighted as follows:

1. The convertParam() method of the class takes a list called params, containing the float values representing the hyperparameters, and transforms them into their actual values, as discussed in the previous subsection:

    n_estimators = round(params[0])    learning_rate = params[1]    algorithm = ['SAMME',