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categorical_features
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copy
true
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fill_empty
0
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missing_values
"NaN"
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strategy
"most_frequent"
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strategy_nominal
"most_frequent"
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verbose
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categorical_features
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dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
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handle_unknown
"ignore"
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n_values
"auto"
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sparse
true
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threshold
0.0
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algorithm
"SAMME"
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learning_rate
0.10080850859571043
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n_estimators
375
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random_state
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class_weight
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criterion
"gini"
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max_depth
3
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max_features
null
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null
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1e-07
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false
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splitter
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openml-python
Sklearn_0.18.1.
openml-pimp
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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