Run
5801443

Run 5801443

Task 125921 (Supervised Classification) LED-display-domain-7digit Uploaded 13-07-2017 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)_sparsefalse
sklearn.feature_selection.variance_threshold.VarianceThreshold(4)_threshold0.0
sklearn.svm.classes.SVC(8)_C37.2033392294428
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)_gamma0.031329857714026445
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_state55035
sklearn.svm.classes.SVC(8)_shrinkingfalse
sklearn.svm.classes.SVC(8)_tol0.03872079919399397
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
0.9411 ± 0.0167
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7352 ± 0.0594
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7063 ± 0.0624
Cross-validation details (10-fold Crossvalidation)
KB relative information score
315.93 ± 2.0686
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0949 ± 0.0069
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1797 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Number of instances
500
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7384 ± 0.0517
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.736 ± 0.0564
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3127
Cross-validation details (10-fold Crossvalidation)
Recall
0.736 ± 0.0564
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5282 ± 0.0382
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2998 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.204 ± 0.0143
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6806 ± 0.0478
Cross-validation details (10-fold Crossvalidation)