Run
6164107

Run 6164107

Task 3917 (Supervised Classification) kc1 Uploaded 27-08-2017 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"mean"
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)_C1996.1314064655594
sklearn.svm.classes.SVC(8)_cache_size200
sklearn.svm.classes.SVC(8)_class_weightnull
sklearn.svm.classes.SVC(8)_coef00.0
sklearn.svm.classes.SVC(8)_decision_function_shapenull
sklearn.svm.classes.SVC(8)_degree3
sklearn.svm.classes.SVC(8)_gamma0.0068931723504150515
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_state15226
sklearn.svm.classes.SVC(8)_shrinkingfalse
sklearn.svm.classes.SVC(8)_tol0.00014943261414235998
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
0.7888 ± 0.0476
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.785 ± 0.0154
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0543 ± 0.0604
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-29.9381 ± 11.833
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2344 ± 0.0079
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
0.7746 ± 0.0513
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8393 ± 0.011
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.622
Cross-validation details (10-fold Crossvalidation)
Recall
0.8393 ± 0.011
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8961 ± 0.0259
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
0.3454 ± 0.0129
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9556 ± 0.0316
Cross-validation details (10-fold Crossvalidation)