January 2020
Intermediate to advanced
346 pages
9h 8m
English
Content preview from Hands-On Genetic Algorithms with Python
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Testing the classifier's default performance
The results of the run indicate that, with the default parameter values of n_estimators = 50, learning_rate = 1.0, and algorithm = 'SAMME.R', the classification accuracy of the classifier is about 65%:
Default Classifier Hyperparameter values:{'algorithm': 'SAMME.R', 'base_estimator': None, 'learning_rate': 1.0, 'n_estimators': 50, 'random_state': 42}score with default values = 0.6457142857142857
This is not a particularly good accuracy. Hopefully, grid search can improve this by finding a better combination of hyperparameter values.
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