Run
7946559

Run 7946559

Task 59 (Supervised Classification) iris Uploaded 09-10-2017 by Continuous Integration
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer, OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,Classifier=sklearn.e nsemble.forest.RandomForestClassifier)(10)Automatically created scikit-learn flow.
sklearn.preprocessing.imputation.Imputer(13)_axis0
sklearn.preprocessing.imputation.Imputer(13)_copytrue
sklearn.preprocessing.imputation.Imputer(13)_missing_values"NaN"
sklearn.preprocessing.imputation.Imputer(13)_strategy"median"
sklearn.preprocessing.imputation.Imputer(13)_verbose0
sklearn.preprocessing.data.OneHotEncoder(14)_categorical_features"all"
sklearn.preprocessing.data.OneHotEncoder(14)_dtype{"oml-python:serialized_object": "type", "value": "np.float64"}
sklearn.preprocessing.data.OneHotEncoder(14)_handle_unknown"ignore"
sklearn.preprocessing.data.OneHotEncoder(14)_n_values"auto"
sklearn.preprocessing.data.OneHotEncoder(14)_sparsefalse
sklearn.ensemble.forest.RandomForestClassifier(29)_bootstraptrue
sklearn.ensemble.forest.RandomForestClassifier(29)_class_weightnull
sklearn.ensemble.forest.RandomForestClassifier(29)_criterion"gini"
sklearn.ensemble.forest.RandomForestClassifier(29)_max_depthnull
sklearn.ensemble.forest.RandomForestClassifier(29)_max_features"auto"
sklearn.ensemble.forest.RandomForestClassifier(29)_max_leaf_nodesnull
sklearn.ensemble.forest.RandomForestClassifier(29)_min_impurity_split1e-07
sklearn.ensemble.forest.RandomForestClassifier(29)_min_samples_leaf1
sklearn.ensemble.forest.RandomForestClassifier(29)_min_samples_split2
sklearn.ensemble.forest.RandomForestClassifier(29)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(29)_n_estimators10
sklearn.ensemble.forest.RandomForestClassifier(29)_n_jobs1
sklearn.ensemble.forest.RandomForestClassifier(29)_oob_scorefalse
sklearn.ensemble.forest.RandomForestClassifier(29)_random_state5462
sklearn.ensemble.forest.RandomForestClassifier(29)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(29)_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

0.9784 ± 0.0253
Per class
Cross-validation details (10-fold Crossvalidation)
0.9331 ± 0.055
Per class
Cross-validation details (10-fold Crossvalidation)
0.9 ± 0.0816
Cross-validation details (10-fold Crossvalidation)
130.6523 ± 0.8227
Cross-validation details (10-fold Crossvalidation)
0.0704 ± 0.0268
Cross-validation details (10-fold Crossvalidation)
0.4444
Cross-validation details (10-fold Crossvalidation)
150
Per class
Cross-validation details (10-fold Crossvalidation)
0.9372 ± 0.0531
Per class
Cross-validation details (10-fold Crossvalidation)
0.9333 ± 0.0544
Cross-validation details (10-fold Crossvalidation)
1.585
Cross-validation details (10-fold Crossvalidation)
0.9333 ± 0.0544
Per class
Cross-validation details (10-fold Crossvalidation)
0.1583 ± 0.0602
Cross-validation details (10-fold Crossvalidation)
0.4714
Cross-validation details (10-fold Crossvalidation)
0.1931 ± 0.0625
Cross-validation details (10-fold Crossvalidation)
0.4096 ± 0.1325
Cross-validation details (10-fold Crossvalidation)