Run
7451672

Run 7451672

Task 3950 (Supervised Classification) musk Uploaded 06-09-2017 by Jan van Rijn
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  • openml-pimp openml-python Sklearn_0.18.1.
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Flow

sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.Conditiona lImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethres hold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classif ier=sklearn.svm.classes.SVC)(1)Automatically created scikit-learn flow.
openmlstudy14.preprocessing.ConditionalImputer(2)_axis0
openmlstudy14.preprocessing.ConditionalImputer(2)_categorical_features[0]
openmlstudy14.preprocessing.ConditionalImputer(2)_copytrue
openmlstudy14.preprocessing.ConditionalImputer(2)_fill_empty0
openmlstudy14.preprocessing.ConditionalImputer(2)_missing_values"NaN"
openmlstudy14.preprocessing.ConditionalImputer(2)_strategy"most_frequent"
openmlstudy14.preprocessing.ConditionalImputer(2)_strategy_nominal"most_frequent"
openmlstudy14.preprocessing.ConditionalImputer(2)_verbose0
sklearn.preprocessing.data.OneHotEncoder(7)_categorical_features[0]
sklearn.preprocessing.data.OneHotEncoder(7)_dtype{"oml-python:serialized_object": "type", "value": "np.float64"}
sklearn.preprocessing.data.OneHotEncoder(7)_handle_unknown"ignore"
sklearn.preprocessing.data.OneHotEncoder(7)_n_values"auto"
sklearn.preprocessing.data.OneHotEncoder(7)_sparsetrue
sklearn.feature_selection.variance_threshold.VarianceThreshold(4)_threshold0.0
sklearn.svm.classes.SVC(8)_C0.4810929222802232
sklearn.svm.classes.SVC(8)_cache_size200
sklearn.svm.classes.SVC(8)_class_weightnull
sklearn.svm.classes.SVC(8)_coef00.28105538751898984
sklearn.svm.classes.SVC(8)_decision_function_shapenull
sklearn.svm.classes.SVC(8)_degree2
sklearn.svm.classes.SVC(8)_gamma6.958022897566376e-05
sklearn.svm.classes.SVC(8)_kernel"rbf"
sklearn.svm.classes.SVC(8)_max_iter-1
sklearn.svm.classes.SVC(8)_probabilitytrue
sklearn.svm.classes.SVC(8)_random_state8496
sklearn.svm.classes.SVC(8)_shrinkingtrue
sklearn.svm.classes.SVC(8)_tol0.006654149070669645
sklearn.svm.classes.SVC(8)_verbosefalse

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
0.9136 ± 0.0139
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8955 ± 0.0091
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5572 ± 0.0399
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2673.8765 ± 17.9747
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1598 ± 0.0051
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2608 ± 0.0005
Cross-validation details (10-fold Crossvalidation)
Number of instances
6598
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9136 ± 0.0099
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.91 ± 0.0072
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6204
Cross-validation details (10-fold Crossvalidation)
Recall
0.91 ± 0.0072
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6127 ± 0.0195
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3611 ± 0.0006
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2742 ± 0.0087
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7595 ± 0.0243
Cross-validation details (10-fold Crossvalidation)