Run
9204039

Run 9204039

Task 59 (Supervised Classification) iris Uploaded 29-06-2018 by Eelco Lambers
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Flow

sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer, OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,Classifier=sklearn.e nsemble.forest.RandomForestClassifier)(18)Automatically created scikit-learn flow.
sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer,OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,Classifier=sklearn.ensemble.forest.RandomForestClassifier)(18)_memorynull
sklearn.preprocessing.imputation.Imputer(25)_axis0
sklearn.preprocessing.imputation.Imputer(25)_copytrue
sklearn.preprocessing.imputation.Imputer(25)_missing_values"NaN"
sklearn.preprocessing.imputation.Imputer(25)_strategy"median"
sklearn.preprocessing.imputation.Imputer(25)_verbose0
sklearn.preprocessing.data.OneHotEncoder(25)_categorical_features"all"
sklearn.preprocessing.data.OneHotEncoder(25)_dtype{"oml-python:serialized_object": "type", "value": "np.float64"}
sklearn.preprocessing.data.OneHotEncoder(25)_handle_unknown"ignore"
sklearn.preprocessing.data.OneHotEncoder(25)_n_values"auto"
sklearn.preprocessing.data.OneHotEncoder(25)_sparsefalse
sklearn.ensemble.forest.RandomForestClassifier(39)_bootstraptrue
sklearn.ensemble.forest.RandomForestClassifier(39)_class_weightnull
sklearn.ensemble.forest.RandomForestClassifier(39)_criterion"gini"
sklearn.ensemble.forest.RandomForestClassifier(39)_max_depthnull
sklearn.ensemble.forest.RandomForestClassifier(39)_max_features"auto"
sklearn.ensemble.forest.RandomForestClassifier(39)_max_leaf_nodesnull
sklearn.ensemble.forest.RandomForestClassifier(39)_min_impurity_decrease0.0
sklearn.ensemble.forest.RandomForestClassifier(39)_min_impurity_splitnull
sklearn.ensemble.forest.RandomForestClassifier(39)_min_samples_leaf1
sklearn.ensemble.forest.RandomForestClassifier(39)_min_samples_split2
sklearn.ensemble.forest.RandomForestClassifier(39)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(39)_n_estimators10
sklearn.ensemble.forest.RandomForestClassifier(39)_n_jobs1
sklearn.ensemble.forest.RandomForestClassifier(39)_oob_scorefalse
sklearn.ensemble.forest.RandomForestClassifier(39)_random_state5330
sklearn.ensemble.forest.RandomForestClassifier(39)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(39)_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
0.9766 ± 0.025
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9332 ± 0.0444
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9 ± 0.0667
Cross-validation details (10-fold Crossvalidation)
KB relative information score
131.1388 ± 0.878
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0682 ± 0.0287
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 ± 0.0448
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9333 ± 0.0444
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.585
Cross-validation details (10-fold Crossvalidation)
Recall
0.9333 ± 0.0444
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1533 ± 0.0646
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1952 ± 0.0715
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4142 ± 0.1517
Cross-validation details (10-fold Crossvalidation)