Run
7949018

Run 7949018

Task 59 (Supervised Classification) iris Uploaded 11-10-2017 by Continuous Integration
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Flow

sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer, OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,Classifier=sklearn.e nsemble.forest.RandomForestClassifier)(9)Automatically created scikit-learn flow.
sklearn.ensemble.forest.RandomForestClassifier(28)_bootstraptrue
sklearn.ensemble.forest.RandomForestClassifier(28)_class_weightnull
sklearn.ensemble.forest.RandomForestClassifier(28)_criterion"gini"
sklearn.ensemble.forest.RandomForestClassifier(28)_max_depthnull
sklearn.ensemble.forest.RandomForestClassifier(28)_max_features"auto"
sklearn.ensemble.forest.RandomForestClassifier(28)_max_leaf_nodesnull
sklearn.ensemble.forest.RandomForestClassifier(28)_min_impurity_split1e-07
sklearn.ensemble.forest.RandomForestClassifier(28)_min_samples_leaf1
sklearn.ensemble.forest.RandomForestClassifier(28)_min_samples_split2
sklearn.ensemble.forest.RandomForestClassifier(28)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(28)_n_estimators10
sklearn.ensemble.forest.RandomForestClassifier(28)_n_jobs1
sklearn.ensemble.forest.RandomForestClassifier(28)_oob_scorefalse
sklearn.ensemble.forest.RandomForestClassifier(28)_random_state6462
sklearn.ensemble.forest.RandomForestClassifier(28)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(28)_warm_startfalse
sklearn.preprocessing.imputation.Imputer(12)_axis0
sklearn.preprocessing.imputation.Imputer(12)_copytrue
sklearn.preprocessing.imputation.Imputer(12)_missing_values"NaN"
sklearn.preprocessing.imputation.Imputer(12)_strategy"median"
sklearn.preprocessing.imputation.Imputer(12)_verbose0
sklearn.preprocessing.data.OneHotEncoder(13)_categorical_features"all"
sklearn.preprocessing.data.OneHotEncoder(13)_dtype{"oml-python:serialized_object": "type", "value": "np.float64"}
sklearn.preprocessing.data.OneHotEncoder(13)_handle_unknown"ignore"
sklearn.preprocessing.data.OneHotEncoder(13)_n_values"auto"
sklearn.preprocessing.data.OneHotEncoder(13)_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

0.9728 ± 0.0306
Per class
Cross-validation details (10-fold Crossvalidation)
0.9332 ± 0.0633
Per class
Cross-validation details (10-fold Crossvalidation)
0.9 ± 0.0943
Cross-validation details (10-fold Crossvalidation)
132.4103 ± 0.8517
Cross-validation details (10-fold Crossvalidation)
0.0633 ± 0.0269
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 ± 0.0618
Per class
Cross-validation details (10-fold Crossvalidation)
0.9333 ± 0.0629
Cross-validation details (10-fold Crossvalidation)
1.585
Cross-validation details (10-fold Crossvalidation)
0.9333 ± 0.0629
Per class
Cross-validation details (10-fold Crossvalidation)
0.1425 ± 0.0605
Cross-validation details (10-fold Crossvalidation)
0.4714
Cross-validation details (10-fold Crossvalidation)
0.1937 ± 0.0735
Cross-validation details (10-fold Crossvalidation)
0.4109 ± 0.1558
Cross-validation details (10-fold Crossvalidation)