Run
8886531

Run 8886531

Task 15 (Supervised Classification) breast-w Uploaded 17-03-2018 by Hilde Weerts
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  • openml-python Sklearn_0.19.1. study_98
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Flow

sklearn.pipeline.Pipeline(imputation=sklearn.preprocessing.imputation.Imput er,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=s klearn.feature_selection.variance_threshold.VarianceThreshold,clf=sklearn.e nsemble.forest.RandomForestClassifier)(1)Automatically created scikit-learn flow.
sklearn.preprocessing.data.OneHotEncoder(17)_categorical_features[]
sklearn.preprocessing.data.OneHotEncoder(17)_dtype{"oml-python:serialized_object": "type", "value": "np.float64"}
sklearn.preprocessing.data.OneHotEncoder(17)_handle_unknown"ignore"
sklearn.preprocessing.data.OneHotEncoder(17)_n_values"auto"
sklearn.preprocessing.data.OneHotEncoder(17)_sparsetrue
sklearn.feature_selection.variance_threshold.VarianceThreshold(11)_threshold0.0
sklearn.preprocessing.imputation.Imputer(15)_axis0
sklearn.preprocessing.imputation.Imputer(15)_copytrue
sklearn.preprocessing.imputation.Imputer(15)_missing_values"NaN"
sklearn.preprocessing.imputation.Imputer(15)_strategy"mean"
sklearn.preprocessing.imputation.Imputer(15)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(32)_bootstraptrue
sklearn.ensemble.forest.RandomForestClassifier(32)_class_weightnull
sklearn.ensemble.forest.RandomForestClassifier(32)_criterion"gini"
sklearn.ensemble.forest.RandomForestClassifier(32)_max_depthnull
sklearn.ensemble.forest.RandomForestClassifier(32)_max_features0.27540092860641197
sklearn.ensemble.forest.RandomForestClassifier(32)_max_leaf_nodesnull
sklearn.ensemble.forest.RandomForestClassifier(32)_min_impurity_decrease0.0
sklearn.ensemble.forest.RandomForestClassifier(32)_min_impurity_splitnull
sklearn.ensemble.forest.RandomForestClassifier(32)_min_samples_leaf8
sklearn.ensemble.forest.RandomForestClassifier(32)_min_samples_split9
sklearn.ensemble.forest.RandomForestClassifier(32)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(32)_n_estimators500
sklearn.ensemble.forest.RandomForestClassifier(32)_n_jobs1
sklearn.ensemble.forest.RandomForestClassifier(32)_oob_scorefalse
sklearn.ensemble.forest.RandomForestClassifier(32)_random_state1
sklearn.ensemble.forest.RandomForestClassifier(32)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(32)_warm_startfalse
sklearn.pipeline.Pipeline(imputation=sklearn.preprocessing.imputation.Imputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,clf=sklearn.ensemble.forest.RandomForestClassifier)(1)_memorynull

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.9911 ± 0.0077
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.97 ± 0.0184
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9338 ± 0.0407
Cross-validation details (10-fold Crossvalidation)
KB relative information score
588.2845 ± 2.4895
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0805 ± 0.0148
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4519 ± 0.0014
Cross-validation details (10-fold Crossvalidation)
Number of instances
699
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9702 ± 0.018
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.97 ± 0.0184
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9297
Cross-validation details (10-fold Crossvalidation)
Recall
0.97 ± 0.0184
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1782 ± 0.0326
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4753 ± 0.0015
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1736 ± 0.0324
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3652 ± 0.0682
Cross-validation details (10-fold Crossvalidation)