Run
7932221

Run 7932221

Task 59 (Supervised Classification) iris Uploaded 26-09-2017 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)(5)Automatically created scikit-learn flow.
sklearn.preprocessing.data.OneHotEncoder(8)_categorical_features"all"
sklearn.preprocessing.data.OneHotEncoder(8)_dtype{"oml-python:serialized_object": "type", "value": "np.float64"}
sklearn.preprocessing.data.OneHotEncoder(8)_handle_unknown"ignore"
sklearn.preprocessing.data.OneHotEncoder(8)_n_values"auto"
sklearn.preprocessing.data.OneHotEncoder(8)_sparsefalse
sklearn.ensemble.forest.RandomForestClassifier(23)_bootstraptrue
sklearn.ensemble.forest.RandomForestClassifier(23)_class_weightnull
sklearn.ensemble.forest.RandomForestClassifier(23)_criterion"gini"
sklearn.ensemble.forest.RandomForestClassifier(23)_max_depthnull
sklearn.ensemble.forest.RandomForestClassifier(23)_max_features"auto"
sklearn.ensemble.forest.RandomForestClassifier(23)_max_leaf_nodesnull
sklearn.ensemble.forest.RandomForestClassifier(23)_min_impurity_split1e-07
sklearn.ensemble.forest.RandomForestClassifier(23)_min_samples_leaf1
sklearn.ensemble.forest.RandomForestClassifier(23)_min_samples_split2
sklearn.ensemble.forest.RandomForestClassifier(23)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(23)_n_estimators10
sklearn.ensemble.forest.RandomForestClassifier(23)_n_jobs1
sklearn.ensemble.forest.RandomForestClassifier(23)_oob_scorefalse
sklearn.ensemble.forest.RandomForestClassifier(23)_random_state23844
sklearn.ensemble.forest.RandomForestClassifier(23)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(23)_warm_startfalse
sklearn.preprocessing.imputation.Imputer(8)_axis0
sklearn.preprocessing.imputation.Imputer(8)_copytrue
sklearn.preprocessing.imputation.Imputer(8)_missing_values"NaN"
sklearn.preprocessing.imputation.Imputer(8)_strategy"median"
sklearn.preprocessing.imputation.Imputer(8)_verbose0

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 ± 0.0277
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9332 ± 0.0633
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9 ± 0.0943
Cross-validation details (10-fold Crossvalidation)
KB relative information score
131.5719 ± 1.011
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0662 ± 0.0314
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
0.9351 ± 0.0618
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9333 ± 0.0629
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.585
Cross-validation details (10-fold Crossvalidation)
Recall
0.9333 ± 0.0629
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1489 ± 0.0707
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1935 ± 0.0734
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4105 ± 0.1558
Cross-validation details (10-fold Crossvalidation)