Run
7458750

Run 7458750

Task 3917 (Supervised Classification) kc1 Uploaded 06-09-2017 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • openml-pimp openml-python Sklearn_0.18.1.
Issue #Downvotes for this reason By


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[]
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[]
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)_C0.3633380291982277
sklearn.svm.classes.SVC(8)_cache_size200
sklearn.svm.classes.SVC(8)_class_weightnull
sklearn.svm.classes.SVC(8)_coef0-0.609681955660772
sklearn.svm.classes.SVC(8)_decision_function_shapenull
sklearn.svm.classes.SVC(8)_degree1
sklearn.svm.classes.SVC(8)_gamma0.00010236213209397043
sklearn.svm.classes.SVC(8)_kernel"poly"
sklearn.svm.classes.SVC(8)_max_iter-1
sklearn.svm.classes.SVC(8)_probabilitytrue
sklearn.svm.classes.SVC(8)_random_state38252
sklearn.svm.classes.SVC(8)_shrinkingtrue
sklearn.svm.classes.SVC(8)_tol1.9487375060090714e-05
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
0.6433 ± 0.0598
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7858 ± 0.0098
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0524 ± 0.0405
Cross-validation details (10-fold Crossvalidation)
KB relative information score
88.5781 ± 5.1897
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2498 ± 0.0044
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2616 ± 0.0016
Cross-validation details (10-fold Crossvalidation)
Number of instances
2109
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8111 ± 0.0577
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8473 ± 0.0063
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.622
Cross-validation details (10-fold Crossvalidation)
Recall
0.8473 ± 0.0063
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9551 ± 0.0139
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3615 ± 0.0023
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3522 ± 0.0053
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9742 ± 0.0148
Cross-validation details (10-fold Crossvalidation)