Run
2041906

Run 2041906

Task 23 (Supervised Classification) cmc Uploaded 15-04-2017 by Jeroen van Hoof
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  • NumPy_1.12.0. Python_3.6.0. run_task Sat_Apr_15_16.14.20_2017 SciPy_0.19.0. sklearn.pipeline.Pipeline Sklearn_0.18.1.
Issue #Downvotes for this reason By


Flow

sklearn.pipeline.Pipeline(dualimputer=extra.dual_imputer.DualImputer,onehot encoder=sklearn.preprocessing.data.OneHotEncoder,randomforestclassifier=skl earn.ensemble.forest.RandomForestClassifier)(1)Automatically created scikit-learn flow.
sklearn.ensemble.forest.RandomForestClassifier(16)_bootstrapTrue
sklearn.ensemble.forest.RandomForestClassifier(16)_class_weightNone
sklearn.ensemble.forest.RandomForestClassifier(16)_criterionentropy
sklearn.ensemble.forest.RandomForestClassifier(16)_max_depth9
sklearn.ensemble.forest.RandomForestClassifier(16)_max_features0.4
sklearn.ensemble.forest.RandomForestClassifier(16)_max_leaf_nodesNone
sklearn.ensemble.forest.RandomForestClassifier(16)_min_impurity_split1e-07
sklearn.ensemble.forest.RandomForestClassifier(16)_min_samples_leaf1
sklearn.ensemble.forest.RandomForestClassifier(16)_min_samples_split17
sklearn.ensemble.forest.RandomForestClassifier(16)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(16)_n_estimators300
sklearn.ensemble.forest.RandomForestClassifier(16)_n_jobs-1
sklearn.ensemble.forest.RandomForestClassifier(16)_oob_scoreFalse
sklearn.ensemble.forest.RandomForestClassifier(16)_random_state3
sklearn.ensemble.forest.RandomForestClassifier(16)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(16)_warm_startFalse
sklearn.preprocessing.data.OneHotEncoder(3)_categorical_features[False, True, True, False, True, True, True, True, True]
sklearn.preprocessing.data.OneHotEncoder(3)_dtype
sklearn.preprocessing.data.OneHotEncoder(3)_handle_unknownignore
sklearn.preprocessing.data.OneHotEncoder(3)_n_valuesauto
sklearn.preprocessing.data.OneHotEncoder(3)_sparseFalse
sklearn.pipeline.Pipeline(dualimputer=extra.dual_imputer.DualImputer,onehotencoder=sklearn.preprocessing.data.OneHotEncoder,randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier)(1)_steps[('dualimputer', ), ('onehotencoder', OneHotEncoder(categorical_features=[False, True, True, False, True, True, True, True, True], dtype=, handle_unknown='ignore', n_values='auto', sparse=False)), ('randomforestclassifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='entropy', max_depth=9, max_features=0.40000000000000002, max_leaf_nodes=None, min_impurity_split=1e-07, min_samples_leaf=1, min_samples_split=17, min_weight_fraction_leaf=0.0, n_estimators=300, n_jobs=-1, oob_score=False, random_state=3, verbose=0, warm_start=False))]

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

Area under ROC curve
0.7429
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5656
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3257
Cross-validation details (10-fold Crossvalidation)
KB relative information score
343.4297
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3597
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4308
Cross-validation details (10-fold Crossvalidation)
Number of instances
1473
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.5683
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5689
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.5392
Cross-validation details (10-fold Crossvalidation)
Recall
0.5689
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8348
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4641
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4224
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9101
Cross-validation details (10-fold Crossvalidation)