Run
8884971

Run 8884971

Task 41 (Supervised Classification) soybean Uploaded 13-03-2018 by vittorio silva
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Flow

sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer, randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier)(2)Automatically created scikit-learn flow.
sklearn.preprocessing.imputation.Imputer(15)_axis0
sklearn.preprocessing.imputation.Imputer(15)_copytrue
sklearn.preprocessing.imputation.Imputer(15)_missing_values"NaN"
sklearn.preprocessing.imputation.Imputer(15)_strategy"mean"
sklearn.preprocessing.imputation.Imputer(15)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(32)_bootstraptrue
sklearn.ensemble.forest.RandomForestClassifier(32)_class_weightnull
sklearn.ensemble.forest.RandomForestClassifier(32)_criterion"gini"
sklearn.ensemble.forest.RandomForestClassifier(32)_max_depthnull
sklearn.ensemble.forest.RandomForestClassifier(32)_max_features"auto"
sklearn.ensemble.forest.RandomForestClassifier(32)_max_leaf_nodesnull
sklearn.ensemble.forest.RandomForestClassifier(32)_min_impurity_decrease0.0
sklearn.ensemble.forest.RandomForestClassifier(32)_min_impurity_splitnull
sklearn.ensemble.forest.RandomForestClassifier(32)_min_samples_leaf1
sklearn.ensemble.forest.RandomForestClassifier(32)_min_samples_split2
sklearn.ensemble.forest.RandomForestClassifier(32)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(32)_n_estimators10
sklearn.ensemble.forest.RandomForestClassifier(32)_n_jobs1
sklearn.ensemble.forest.RandomForestClassifier(32)_oob_scorefalse
sklearn.ensemble.forest.RandomForestClassifier(32)_random_state51324
sklearn.ensemble.forest.RandomForestClassifier(32)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(32)_warm_startfalse
sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier)(2)_memorynull

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

0.9924 ± 0.0092
Per class
Cross-validation details (10-fold Crossvalidation)
0.94 ± 0.0241
Per class
Cross-validation details (10-fold Crossvalidation)
0.9357 ± 0.0239
Cross-validation details (10-fold Crossvalidation)
632.4658 ± 0.9641
Cross-validation details (10-fold Crossvalidation)
0.0131 ± 0.0025
Cross-validation details (10-fold Crossvalidation)
0.0961 ± 0
Cross-validation details (10-fold Crossvalidation)
683
Per class
Cross-validation details (10-fold Crossvalidation)
0.9436 ± 0.0197
Per class
Cross-validation details (10-fold Crossvalidation)
0.9414 ± 0.0217
Cross-validation details (10-fold Crossvalidation)
3.8572
Cross-validation details (10-fold Crossvalidation)
0.9414 ± 0.0217
Per class
Cross-validation details (10-fold Crossvalidation)
0.1361 ± 0.026
Cross-validation details (10-fold Crossvalidation)
0.2191 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
0.0725 ± 0.0116
Cross-validation details (10-fold Crossvalidation)
0.3307 ± 0.0528
Cross-validation details (10-fold Crossvalidation)