Machine Learning Algorithms by Giuseppe Bonaccorso

Author:Giuseppe Bonaccorso
Language: eng
Format: epub, mobi, pdf
Tags: COM051300 - COMPUTERS / Programming / Algorithms, COM018000 - COMPUTERS / Data Processing, COM051360 - COMPUTERS / Programming Languages / Python
Publisher: Packt
Published: 2018-02-26T06:22:20+00:00

>>> gs.best_estimator_

DecisionTreeClassifier(class_weight=None, criterion='entropy', max_depth=None,

max_features=None, max_leaf_nodes=None,

min_impurity_split=1e-07, min_samples_leaf=1,

min_samples_split=2, min_weight_fraction_leaf=0.0,

presort=False, random_state=None, splitter='best')

>>> gs.best_score_

0.8380634390651085

In this case, the element that impacted accuracy the most is the minimum number of samples to consider for a split. This is reasonable, considering the structure of this dataset and the need to have many branches to capture even small changes.

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