Run
10159622

Run 10159622

Task 10101 (Supervised Classification) blood-transfusion-service-center Uploaded 30-03-2019 by Vishal R
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Flow

sklearn.pipeline.Pipeline(kbest=sklearn.feature_selection.univariate_select ion.SelectKBest,scaler=sklearn.preprocessing.data.StandardScaler,classifier =sklearn.svm.classes.SVC)(1)Automatically created scikit-learn flow.
sklearn.svm.classes.SVC(28)_C2.6
sklearn.svm.classes.SVC(28)_cache_size200
sklearn.svm.classes.SVC(28)_class_weightnull
sklearn.svm.classes.SVC(28)_coef00.0
sklearn.svm.classes.SVC(28)_decision_function_shape"ovr"
sklearn.svm.classes.SVC(28)_degree3
sklearn.svm.classes.SVC(28)_gamma"auto_deprecated"
sklearn.svm.classes.SVC(28)_kernel"rbf"
sklearn.svm.classes.SVC(28)_max_iter-1
sklearn.svm.classes.SVC(28)_probabilityfalse
sklearn.svm.classes.SVC(28)_random_state4017
sklearn.svm.classes.SVC(28)_shrinkingtrue
sklearn.svm.classes.SVC(28)_tol0.001
sklearn.svm.classes.SVC(28)_verbosefalse
sklearn.feature_selection.univariate_selection.SelectKBest(3)_k3
sklearn.feature_selection.univariate_selection.SelectKBest(3)_score_func{"oml-python:serialized_object": "function", "value": "sklearn.feature_selection.univariate_selection.f_regression"}
sklearn.preprocessing.data.StandardScaler(26)_copytrue
sklearn.preprocessing.data.StandardScaler(26)_with_meantrue
sklearn.preprocessing.data.StandardScaler(26)_with_stdtrue
sklearn.pipeline.Pipeline(kbest=sklearn.feature_selection.univariate_selection.SelectKBest,scaler=sklearn.preprocessing.data.StandardScaler,classifier=sklearn.svm.classes.SVC)(1)_memorynull
sklearn.pipeline.Pipeline(kbest=sklearn.feature_selection.univariate_selection.SelectKBest,scaler=sklearn.preprocessing.data.StandardScaler,classifier=sklearn.svm.classes.SVC)(1)_steps[{"oml-python:serialized_object": "component_reference", "value": {"key": "kbest", "step_name": "kbest"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "scaler", "step_name": "scaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "classifier", "step_name": "classifier"}}]

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
0.5239 ± 0.0337
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6859 ± 0.0338
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0689 ± 0.0952
Cross-validation details (10-fold Crossvalidation)
KB relative information score
203.8225 ± 5.0959
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.234 ± 0.0226
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.363 ± 0.0023
Cross-validation details (10-fold Crossvalidation)
Number of instances
748
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7252 ± 0.107
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.766 ± 0.0226
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7928
Cross-validation details (10-fold Crossvalidation)
Recall
0.766 ± 0.0226
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6444 ± 0.0613
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4258 ± 0.0027
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4837 ± 0.0233
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1359 ± 0.0533
Cross-validation details (10-fold Crossvalidation)