Run
10045144

Run 10045144

Task 145804 (Supervised Classification) tic-tac-toe Uploaded 23-01-2019 by Hugo Spee
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • auto-jupyter-notebook openml-python Sklearn_0.20.1.
Issue #Downvotes for this reason By


Flow

sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=sk learn.svm.classes.SVC)(1)Automatically created scikit-learn flow.
sklearn.svm.classes.SVC(23)_C1.0
sklearn.svm.classes.SVC(23)_cache_size200
sklearn.svm.classes.SVC(23)_class_weightnull
sklearn.svm.classes.SVC(23)_coef00.0
sklearn.svm.classes.SVC(23)_decision_function_shape"ovr"
sklearn.svm.classes.SVC(23)_degree3
sklearn.svm.classes.SVC(23)_gamma"auto"
sklearn.svm.classes.SVC(23)_kernel"rbf"
sklearn.svm.classes.SVC(23)_max_iter-1
sklearn.svm.classes.SVC(23)_probabilityfalse
sklearn.svm.classes.SVC(23)_random_state20366
sklearn.svm.classes.SVC(23)_shrinkingtrue
sklearn.svm.classes.SVC(23)_tol0.001
sklearn.svm.classes.SVC(23)_verbosefalse
sklearn.impute.SimpleImputer(5)_copytrue
sklearn.impute.SimpleImputer(5)_fill_valuenull
sklearn.impute.SimpleImputer(5)_missing_valuesNaN
sklearn.impute.SimpleImputer(5)_strategy"mean"
sklearn.impute.SimpleImputer(5)_verbose0
sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=sklearn.svm.classes.SVC)(1)_memorynull

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
0.8328 ± 0.0315
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8772 ± 0.0246
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7224 ± 0.0565
Cross-validation details (10-fold Crossvalidation)
KB relative information score
702.3741 ± 4.9545
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1159 ± 0.0213
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.453 ± 0.0013
Cross-validation details (10-fold Crossvalidation)
Number of instances
958
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9016 ± 0.0154
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8841 ± 0.0213
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9312
Cross-validation details (10-fold Crossvalidation)
Recall
0.8841 ± 0.0213
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2558 ± 0.0473
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759 ± 0.0014
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3404 ± 0.0313
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7153 ± 0.0665
Cross-validation details (10-fold Crossvalidation)