Run
7943199

Run 7943199

Task 59 (Supervised Classification) iris Uploaded 06-10-2017 by Matthias Feurer
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Flow

sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer, OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,Classifier=sklearn.e nsemble.forest.RandomForestClassifier)(8)Automatically created scikit-learn flow.
sklearn.ensemble.forest.RandomForestClassifier(27)_bootstraptrue
sklearn.ensemble.forest.RandomForestClassifier(27)_class_weightnull
sklearn.ensemble.forest.RandomForestClassifier(27)_criterion"gini"
sklearn.ensemble.forest.RandomForestClassifier(27)_max_depthnull
sklearn.ensemble.forest.RandomForestClassifier(27)_max_features"auto"
sklearn.ensemble.forest.RandomForestClassifier(27)_max_leaf_nodesnull
sklearn.ensemble.forest.RandomForestClassifier(27)_min_impurity_split1e-07
sklearn.ensemble.forest.RandomForestClassifier(27)_min_samples_leaf1
sklearn.ensemble.forest.RandomForestClassifier(27)_min_samples_split2
sklearn.ensemble.forest.RandomForestClassifier(27)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(27)_n_estimators10
sklearn.ensemble.forest.RandomForestClassifier(27)_n_jobs1
sklearn.ensemble.forest.RandomForestClassifier(27)_oob_scorefalse
sklearn.ensemble.forest.RandomForestClassifier(27)_random_state7921
sklearn.ensemble.forest.RandomForestClassifier(27)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(27)_warm_startfalse
sklearn.preprocessing.imputation.Imputer(11)_axis0
sklearn.preprocessing.imputation.Imputer(11)_copytrue
sklearn.preprocessing.imputation.Imputer(11)_missing_values"NaN"
sklearn.preprocessing.imputation.Imputer(11)_strategy"median"
sklearn.preprocessing.imputation.Imputer(11)_verbose0
sklearn.preprocessing.data.OneHotEncoder(12)_categorical_features"all"
sklearn.preprocessing.data.OneHotEncoder(12)_dtype{"oml-python:serialized_object": "type", "value": "np.float64"}
sklearn.preprocessing.data.OneHotEncoder(12)_handle_unknown"ignore"
sklearn.preprocessing.data.OneHotEncoder(12)_n_values"auto"
sklearn.preprocessing.data.OneHotEncoder(12)_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

0.9749 ± 0.0309
Per class
Cross-validation details (10-fold Crossvalidation)
0.9332 ± 0.0444
Per class
Cross-validation details (10-fold Crossvalidation)
0.9 ± 0.0667
Cross-validation details (10-fold Crossvalidation)
131.1814 ± 0.8293
Cross-validation details (10-fold Crossvalidation)
0.0686 ± 0.0272
Cross-validation details (10-fold Crossvalidation)
0.4444
Cross-validation details (10-fold Crossvalidation)
150
Per class
Cross-validation details (10-fold Crossvalidation)
0.9351 ± 0.0448
Per class
Cross-validation details (10-fold Crossvalidation)
0.9333 ± 0.0444
Cross-validation details (10-fold Crossvalidation)
1.585
Cross-validation details (10-fold Crossvalidation)
0.9333 ± 0.0444
Per class
Cross-validation details (10-fold Crossvalidation)
0.1544 ± 0.0612
Cross-validation details (10-fold Crossvalidation)
0.4714
Cross-validation details (10-fold Crossvalidation)
0.1915 ± 0.0687
Cross-validation details (10-fold Crossvalidation)
0.4061 ± 0.1457
Cross-validation details (10-fold Crossvalidation)