Run
7946748

Run 7946748

Task 59 (Supervised Classification) iris Uploaded 09-10-2017 by Andreas Mueller
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  • openml-python Sklearn_0.20.dev0.
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Flow

sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer, OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,Classifier=sklearn.e nsemble.forest.RandomForestClassifier)(11)Automatically created scikit-learn flow.
sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer,OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,Classifier=sklearn.ensemble.forest.RandomForestClassifier)(11)_memorynull
sklearn.preprocessing.imputation.Imputer(14)_axis0
sklearn.preprocessing.imputation.Imputer(14)_copytrue
sklearn.preprocessing.imputation.Imputer(14)_missing_values"NaN"
sklearn.preprocessing.imputation.Imputer(14)_strategy"median"
sklearn.preprocessing.imputation.Imputer(14)_verbose0
sklearn.preprocessing.data.OneHotEncoder(15)_categorical_features"all"
sklearn.preprocessing.data.OneHotEncoder(15)_dtype{"oml-python:serialized_object": "type", "value": "np.float64"}
sklearn.preprocessing.data.OneHotEncoder(15)_handle_unknown"ignore"
sklearn.preprocessing.data.OneHotEncoder(15)_n_values"auto"
sklearn.preprocessing.data.OneHotEncoder(15)_sparsefalse
sklearn.ensemble.forest.RandomForestClassifier(30)_bootstraptrue
sklearn.ensemble.forest.RandomForestClassifier(30)_class_weightnull
sklearn.ensemble.forest.RandomForestClassifier(30)_criterion"gini"
sklearn.ensemble.forest.RandomForestClassifier(30)_max_depthnull
sklearn.ensemble.forest.RandomForestClassifier(30)_max_features"auto"
sklearn.ensemble.forest.RandomForestClassifier(30)_max_leaf_nodesnull
sklearn.ensemble.forest.RandomForestClassifier(30)_min_impurity_decrease0.0
sklearn.ensemble.forest.RandomForestClassifier(30)_min_impurity_splitnull
sklearn.ensemble.forest.RandomForestClassifier(30)_min_samples_leaf1
sklearn.ensemble.forest.RandomForestClassifier(30)_min_samples_split2
sklearn.ensemble.forest.RandomForestClassifier(30)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(30)_n_estimators10
sklearn.ensemble.forest.RandomForestClassifier(30)_n_jobs1
sklearn.ensemble.forest.RandomForestClassifier(30)_oob_scorefalse
sklearn.ensemble.forest.RandomForestClassifier(30)_random_state59012
sklearn.ensemble.forest.RandomForestClassifier(30)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(30)_warm_startfalse

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
0.9736 ± 0.0298
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9533 ± 0.0452
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.93 ± 0.0675
Cross-validation details (10-fold Crossvalidation)
KB relative information score
131.9257 ± 0.8592
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0665 ± 0.0278
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4444
Cross-validation details (10-fold Crossvalidation)
Number of instances
150
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9544 ± 0.0426
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9533 ± 0.045
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.585
Cross-validation details (10-fold Crossvalidation)
Recall
0.9533 ± 0.045
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1495 ± 0.0625
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1909 ± 0.0759
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4051 ± 0.1611
Cross-validation details (10-fold Crossvalidation)