Run
6068423

Run 6068423

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_state59461
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
0.9791 ± 0.025
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9466 ± 0.0423
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.92 ± 0.0632
Cross-validation details (10-fold Crossvalidation)
KB relative information score
132.8177 ± 0.8043
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0627 ± 0.027
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
0.9485 ± 0.0402
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9467 ± 0.0422
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.585
Cross-validation details (10-fold Crossvalidation)
Recall
0.9467 ± 0.0422
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1411 ± 0.0607
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1874 ± 0.0677
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3974 ± 0.1435
Cross-validation details (10-fold Crossvalidation)