Run
9204040

Run 9204040

Task 10 (Supervised Classification) lymph Uploaded 29-06-2018 by Joaquin Vanschoren
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Flow

sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer, Classifier=sklearn.ensemble.forest.RandomForestClassifier)(2)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_features"auto"
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_leaf1
sklearn.ensemble.forest.RandomForestClassifier(35)_min_samples_split2
sklearn.ensemble.forest.RandomForestClassifier(35)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(35)_n_estimators10
sklearn.ensemble.forest.RandomForestClassifier(35)_n_jobs1
sklearn.ensemble.forest.RandomForestClassifier(35)_oob_scorefalse
sklearn.ensemble.forest.RandomForestClassifier(35)_random_state9780
sklearn.ensemble.forest.RandomForestClassifier(35)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(35)_warm_startfalse
sklearn.preprocessing.imputation.Imputer(20)_axis0
sklearn.preprocessing.imputation.Imputer(20)_copytrue
sklearn.preprocessing.imputation.Imputer(20)_missing_values"NaN"
sklearn.preprocessing.imputation.Imputer(20)_strategy"median"
sklearn.preprocessing.imputation.Imputer(20)_verbose0
sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer,Classifier=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.

15 Evaluation measures

0.9198 ± 0.0752
Per class
Cross-validation details (10-fold Crossvalidation)
0.6377 ± 0.1661
Cross-validation details (10-fold Crossvalidation)
80.8889 ± 2.3025
Cross-validation details (10-fold Crossvalidation)
0.1307 ± 0.0337
Cross-validation details (10-fold Crossvalidation)
0.2677 ± 0.0078
Cross-validation details (10-fold Crossvalidation)
148
Per class
Cross-validation details (10-fold Crossvalidation)
0.8176 ± 0.0783
Cross-validation details (10-fold Crossvalidation)
1.2818
Cross-validation details (10-fold Crossvalidation)
0.8176 ± 0.0783
Per class
Cross-validation details (10-fold Crossvalidation)
0.4883 ± 0.1292
Cross-validation details (10-fold Crossvalidation)
0.3639 ± 0.0108
Cross-validation details (10-fold Crossvalidation)
0.2493 ± 0.0487
Cross-validation details (10-fold Crossvalidation)
0.6849 ± 0.142
Cross-validation details (10-fold Crossvalidation)