Run
9201772

Run 9201772

Task 3918 (Supervised Classification) pc1 Uploaded 26-05-2018 by João Freitas
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Flow

sklearn.pipeline.Pipeline(robustscaler=sklearn.preprocessing.data.RobustSca ler,randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier)( 1)Automatically created scikit-learn flow.
sklearn.ensemble.forest.RandomForestClassifier(35)_bootstraptrue
sklearn.ensemble.forest.RandomForestClassifier(35)_class_weightnull
sklearn.ensemble.forest.RandomForestClassifier(35)_criterion"gini"
sklearn.ensemble.forest.RandomForestClassifier(35)_max_depthnull
sklearn.ensemble.forest.RandomForestClassifier(35)_max_features0.45
sklearn.ensemble.forest.RandomForestClassifier(35)_max_leaf_nodesnull
sklearn.ensemble.forest.RandomForestClassifier(35)_min_impurity_decrease0.0
sklearn.ensemble.forest.RandomForestClassifier(35)_min_impurity_splitnull
sklearn.ensemble.forest.RandomForestClassifier(35)_min_samples_leaf2
sklearn.ensemble.forest.RandomForestClassifier(35)_min_samples_split14
sklearn.ensemble.forest.RandomForestClassifier(35)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(35)_n_estimators100
sklearn.ensemble.forest.RandomForestClassifier(35)_n_jobs1
sklearn.ensemble.forest.RandomForestClassifier(35)_oob_scorefalse
sklearn.ensemble.forest.RandomForestClassifier(35)_random_state25432
sklearn.ensemble.forest.RandomForestClassifier(35)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(35)_warm_startfalse
sklearn.preprocessing.data.RobustScaler(4)_copytrue
sklearn.preprocessing.data.RobustScaler(4)_quantile_range[25.0, 75.0]
sklearn.preprocessing.data.RobustScaler(4)_with_centeringtrue
sklearn.preprocessing.data.RobustScaler(4)_with_scalingtrue
sklearn.pipeline.Pipeline(robustscaler=sklearn.preprocessing.data.RobustScaler,randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier)(1)_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

0.8639 ± 0.0406
Per class
Cross-validation details (10-fold Crossvalidation)
0.9255 ± 0.0173
Per class
Cross-validation details (10-fold Crossvalidation)
0.3332 ± 0.1643
Cross-validation details (10-fold Crossvalidation)
-263.277 ± 16.1505
Cross-validation details (10-fold Crossvalidation)
0.1017 ± 0.009
Cross-validation details (10-fold Crossvalidation)
0.1299 ± 0.0037
Cross-validation details (10-fold Crossvalidation)
1109
Per class
Cross-validation details (10-fold Crossvalidation)
0.9261 ± 0.0244
Per class
Cross-validation details (10-fold Crossvalidation)
0.9387 ± 0.014
Cross-validation details (10-fold Crossvalidation)
0.3667
Cross-validation details (10-fold Crossvalidation)
0.9387 ± 0.014
Per class
Cross-validation details (10-fold Crossvalidation)
0.783 ± 0.0702
Cross-validation details (10-fold Crossvalidation)
0.2542 ± 0.0073
Cross-validation details (10-fold Crossvalidation)
0.2251 ± 0.0168
Cross-validation details (10-fold Crossvalidation)
0.8858 ± 0.0674
Cross-validation details (10-fold Crossvalidation)