Run
6068437

Run 6068437

Task 59 (Supervised Classification) iris Uploaded 11-08-2017 by Joaquin Vanschoren
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Flow

sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer, OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,Classifier=sklearn.e nsemble.forest.RandomForestClassifier)(4)Automatically created scikit-learn flow.
sklearn.preprocessing.imputation.Imputer(6)_axis0
sklearn.preprocessing.imputation.Imputer(6)_copytrue
sklearn.preprocessing.imputation.Imputer(6)_missing_values"NaN"
sklearn.preprocessing.imputation.Imputer(6)_strategy"median"
sklearn.preprocessing.imputation.Imputer(6)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(21)_bootstraptrue
sklearn.ensemble.forest.RandomForestClassifier(21)_class_weightnull
sklearn.ensemble.forest.RandomForestClassifier(21)_criterion"gini"
sklearn.ensemble.forest.RandomForestClassifier(21)_max_depthnull
sklearn.ensemble.forest.RandomForestClassifier(21)_max_features"auto"
sklearn.ensemble.forest.RandomForestClassifier(21)_max_leaf_nodesnull
sklearn.ensemble.forest.RandomForestClassifier(21)_min_impurity_split1e-07
sklearn.ensemble.forest.RandomForestClassifier(21)_min_samples_leaf1
sklearn.ensemble.forest.RandomForestClassifier(21)_min_samples_split2
sklearn.ensemble.forest.RandomForestClassifier(21)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(21)_n_estimators10
sklearn.ensemble.forest.RandomForestClassifier(21)_n_jobs1
sklearn.ensemble.forest.RandomForestClassifier(21)_oob_scorefalse
sklearn.ensemble.forest.RandomForestClassifier(21)_random_state7976
sklearn.ensemble.forest.RandomForestClassifier(21)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(21)_warm_startfalse
sklearn.preprocessing.data.OneHotEncoder(7)_categorical_features"all"
sklearn.preprocessing.data.OneHotEncoder(7)_dtype{"oml-python:serialized_object": "type", "value": "np.float64"}
sklearn.preprocessing.data.OneHotEncoder(7)_handle_unknown"ignore"
sklearn.preprocessing.data.OneHotEncoder(7)_n_values"auto"
sklearn.preprocessing.data.OneHotEncoder(7)_sparsefalse

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
0.975 ± 0.0278
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
132.8978 ± 0.9379
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0626 ± 0.0309
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
0.1409 ± 0.0695
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1872 ± 0.0818
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3971 ± 0.1736
Cross-validation details (10-fold Crossvalidation)