Run
9204038

Run 9204038

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, OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,Classifier=sklearn.e nsemble.forest.RandomForestClassifier)(16)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_state10773
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,OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,Classifier=sklearn.ensemble.forest.RandomForestClassifier)(16)_memorynull
sklearn.preprocessing.data.OneHotEncoder(21)_categorical_features"all"
sklearn.preprocessing.data.OneHotEncoder(21)_dtype{"oml-python:serialized_object": "type", "value": "np.float64"}
sklearn.preprocessing.data.OneHotEncoder(21)_handle_unknown"ignore"
sklearn.preprocessing.data.OneHotEncoder(21)_n_values"auto"
sklearn.preprocessing.data.OneHotEncoder(21)_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.

15 Evaluation measures

0.9193 ± 0.0731
Per class
Cross-validation details (10-fold Crossvalidation)
0.6694 ± 0.219
Cross-validation details (10-fold Crossvalidation)
83.5052 ± 2.3252
Cross-validation details (10-fold Crossvalidation)
0.1257 ± 0.0264
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)
0.8311 ± 0.1026
Cross-validation details (10-fold Crossvalidation)
1.2818
Cross-validation details (10-fold Crossvalidation)
0.8311 ± 0.1026
Per class
Cross-validation details (10-fold Crossvalidation)
0.4694 ± 0.1009
Cross-validation details (10-fold Crossvalidation)
0.3639 ± 0.0108
Cross-validation details (10-fold Crossvalidation)
0.2497 ± 0.0541
Cross-validation details (10-fold Crossvalidation)
0.6862 ± 0.153
Cross-validation details (10-fold Crossvalidation)