Run
8872579

Run 8872579

Task 23 (Supervised Classification) cmc Uploaded 08-03-2018 by Jan van Rijn
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Flow

sklearn.pipeline.Pipeline(imputation=openmlcontrib.preprocessing.imputation .ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,sc aling=sklearn.preprocessing.data.StandardScaler,variencethreshold=sklearn.f eature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.sv m.classes.SVC)(1)Automatically created scikit-learn flow.
sklearn.preprocessing.data.OneHotEncoder(18)_categorical_features[1, 2, 4, 5, 6, 7, 8]
sklearn.preprocessing.data.OneHotEncoder(18)_dtype{"oml-python:serialized_object": "type", "value": "np.float64"}
sklearn.preprocessing.data.OneHotEncoder(18)_handle_unknown"ignore"
sklearn.preprocessing.data.OneHotEncoder(18)_n_values"auto"
sklearn.preprocessing.data.OneHotEncoder(18)_sparsetrue
sklearn.feature_selection.variance_threshold.VarianceThreshold(12)_threshold0.0
sklearn.preprocessing.data.StandardScaler(6)_copytrue
sklearn.preprocessing.data.StandardScaler(6)_with_meanfalse
sklearn.preprocessing.data.StandardScaler(6)_with_stdtrue
sklearn.svm.classes.SVC(17)_C1.0
sklearn.svm.classes.SVC(17)_cache_size200
sklearn.svm.classes.SVC(17)_class_weightnull
sklearn.svm.classes.SVC(17)_coef00.0
sklearn.svm.classes.SVC(17)_decision_function_shapenull
sklearn.svm.classes.SVC(17)_degree3
sklearn.svm.classes.SVC(17)_gamma2.0
sklearn.svm.classes.SVC(17)_kernel"rbf"
sklearn.svm.classes.SVC(17)_max_iter-1
sklearn.svm.classes.SVC(17)_probabilityfalse
sklearn.svm.classes.SVC(17)_random_state1
sklearn.svm.classes.SVC(17)_shrinkingtrue
sklearn.svm.classes.SVC(17)_tol0.001
sklearn.svm.classes.SVC(17)_verbosefalse
openmlcontrib.preprocessing.imputation.ConditionalImputer(1)_axis0
openmlcontrib.preprocessing.imputation.ConditionalImputer(1)_categorical_features[1, 2, 4, 5, 6, 7, 8]
openmlcontrib.preprocessing.imputation.ConditionalImputer(1)_copytrue
openmlcontrib.preprocessing.imputation.ConditionalImputer(1)_fill_empty0
openmlcontrib.preprocessing.imputation.ConditionalImputer(1)_missing_values"NaN"
openmlcontrib.preprocessing.imputation.ConditionalImputer(1)_strategy"median"
openmlcontrib.preprocessing.imputation.ConditionalImputer(1)_strategy_nominal"most_frequent"
openmlcontrib.preprocessing.imputation.ConditionalImputer(1)_verbose0

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
0.5817 ± 0.032
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4616 ± 0.0429
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1698 ± 0.0662
Cross-validation details (10-fold Crossvalidation)
KB relative information score
374.0703 ± 8.4083
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3417 ± 0.0266
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4308 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Number of instances
1473
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.4795 ± 0.0513
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4874 ± 0.0398
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.5392
Cross-validation details (10-fold Crossvalidation)
Recall
0.4874 ± 0.0398
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7931 ± 0.0615
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4641 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5846 ± 0.0224
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2595 ± 0.0481
Cross-validation details (10-fold Crossvalidation)