Run
8696840

Run 8696840

Task 3899 (Supervised Classification) mozilla4 Uploaded 27-12-2017 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. study_71
Issue #Downvotes for this reason By


Flow

sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.Conditiona lImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,scaling=sklea rn.preprocessing.data.StandardScaler,variencethreshold=sklearn.feature_sele ction.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.S VC)(1)Automatically created scikit-learn flow.
openmlstudy14.preprocessing.ConditionalImputer(6)_axis0
openmlstudy14.preprocessing.ConditionalImputer(6)_categorical_features[]
openmlstudy14.preprocessing.ConditionalImputer(6)_copytrue
openmlstudy14.preprocessing.ConditionalImputer(6)_fill_empty0
openmlstudy14.preprocessing.ConditionalImputer(6)_missing_values"NaN"
openmlstudy14.preprocessing.ConditionalImputer(6)_strategy"most_frequent"
openmlstudy14.preprocessing.ConditionalImputer(6)_strategy_nominal"most_frequent"
openmlstudy14.preprocessing.ConditionalImputer(6)_verbose0
sklearn.preprocessing.data.OneHotEncoder(18)_categorical_features[]
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)_C3.2845012184592757
sklearn.svm.classes.SVC(17)_cache_size200
sklearn.svm.classes.SVC(17)_class_weightnull
sklearn.svm.classes.SVC(17)_coef00.09744235790056677
sklearn.svm.classes.SVC(17)_decision_function_shapenull
sklearn.svm.classes.SVC(17)_degree5
sklearn.svm.classes.SVC(17)_gamma6.02275873940718
sklearn.svm.classes.SVC(17)_kernel"sigmoid"
sklearn.svm.classes.SVC(17)_max_iter-1
sklearn.svm.classes.SVC(17)_probabilitytrue
sklearn.svm.classes.SVC(17)_random_state57786
sklearn.svm.classes.SVC(17)_shrinkingtrue
sklearn.svm.classes.SVC(17)_tol0.0003127651925179719
sklearn.svm.classes.SVC(17)_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
0.6826 ± 0.0144
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5859 ± 0.0149
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0735 ± 0.0272
Cross-validation details (10-fold Crossvalidation)
KB relative information score
522.4824 ± 19.4868
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4283 ± 0.0045
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4412 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Number of instances
15545
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6796 ± 0.0375
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6839 ± 0.0069
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9135
Cross-validation details (10-fold Crossvalidation)
Recall
0.6839 ± 0.0069
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9706 ± 0.0103
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4697 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4609 ± 0.0037
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9813 ± 0.008
Cross-validation details (10-fold Crossvalidation)