Run
8857818

Run 8857818

Task 59 (Supervised Classification) iris Uploaded 11-02-2018 by Jan van Rijn
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Flow

sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer, OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,Classifier=sklearn.e nsemble.forest.RandomForestClassifier)(13)Automatically created scikit-learn flow.
sklearn.ensemble.forest.RandomForestClassifier(31)_bootstraptrue
sklearn.ensemble.forest.RandomForestClassifier(31)_class_weightnull
sklearn.ensemble.forest.RandomForestClassifier(31)_criterion"gini"
sklearn.ensemble.forest.RandomForestClassifier(31)_max_depthnull
sklearn.ensemble.forest.RandomForestClassifier(31)_max_features"auto"
sklearn.ensemble.forest.RandomForestClassifier(31)_max_leaf_nodesnull
sklearn.ensemble.forest.RandomForestClassifier(31)_min_impurity_split1e-07
sklearn.ensemble.forest.RandomForestClassifier(31)_min_samples_leaf1
sklearn.ensemble.forest.RandomForestClassifier(31)_min_samples_split2
sklearn.ensemble.forest.RandomForestClassifier(31)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(31)_n_estimators10
sklearn.ensemble.forest.RandomForestClassifier(31)_n_jobs1
sklearn.ensemble.forest.RandomForestClassifier(31)_oob_scorefalse
sklearn.ensemble.forest.RandomForestClassifier(31)_random_state14868
sklearn.ensemble.forest.RandomForestClassifier(31)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(31)_warm_startfalse
sklearn.preprocessing.data.OneHotEncoder(18)_categorical_features"all"
sklearn.preprocessing.data.OneHotEncoder(18)_dtype{"oml-python:serialized_object": "type", "value": "np.float64"}
sklearn.preprocessing.data.OneHotEncoder(18)_handle_unknown"ignore"
sklearn.preprocessing.data.OneHotEncoder(18)_n_values"auto"
sklearn.preprocessing.data.OneHotEncoder(18)_sparsefalse
sklearn.preprocessing.imputation.Imputer(17)_axis0
sklearn.preprocessing.imputation.Imputer(17)_copytrue
sklearn.preprocessing.imputation.Imputer(17)_missing_values"NaN"
sklearn.preprocessing.imputation.Imputer(17)_strategy"median"
sklearn.preprocessing.imputation.Imputer(17)_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

0.9747 ± 0.0291
Per class
Cross-validation details (10-fold Crossvalidation)
0.9533 ± 0.0452
Per class
Cross-validation details (10-fold Crossvalidation)
0.93 ± 0.0675
Cross-validation details (10-fold Crossvalidation)
133.2327 ± 0.8015
Cross-validation details (10-fold Crossvalidation)
0.0616 ± 0.0256
Cross-validation details (10-fold Crossvalidation)
0.4444
Cross-validation details (10-fold Crossvalidation)
150
Per class
Cross-validation details (10-fold Crossvalidation)
0.9544 ± 0.0426
Per class
Cross-validation details (10-fold Crossvalidation)
0.9533 ± 0.045
Cross-validation details (10-fold Crossvalidation)
1.585
Cross-validation details (10-fold Crossvalidation)
0.9533 ± 0.045
Per class
Cross-validation details (10-fold Crossvalidation)
0.1387 ± 0.0576
Cross-validation details (10-fold Crossvalidation)
0.4714
Cross-validation details (10-fold Crossvalidation)
0.1855 ± 0.0709
Cross-validation details (10-fold Crossvalidation)
0.3936 ± 0.1505
Cross-validation details (10-fold Crossvalidation)