Run
9202227

Run 9202227

Task 167119 (Supervised Classification) jungle_chess_2pcs_raw_endgame_complete Uploaded 30-05-2018 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,scaling=sklea rn.preprocessing.data.StandardScaler,variencethreshold=sklearn.feature_sele ction.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.S VC)(2)Automatically created scikit-learn flow.
openmlstudy14.preprocessing.ConditionalImputer(5)_axis0
openmlstudy14.preprocessing.ConditionalImputer(5)_categorical_features[]
openmlstudy14.preprocessing.ConditionalImputer(5)_copytrue
openmlstudy14.preprocessing.ConditionalImputer(5)_fill_empty0
openmlstudy14.preprocessing.ConditionalImputer(5)_missing_values"NaN"
openmlstudy14.preprocessing.ConditionalImputer(5)_strategy"mean"
openmlstudy14.preprocessing.ConditionalImputer(5)_strategy_nominal"most_frequent"
openmlstudy14.preprocessing.ConditionalImputer(5)_verbose0
sklearn.preprocessing.data.OneHotEncoder(9)_categorical_features[]
sklearn.preprocessing.data.OneHotEncoder(9)_dtype{"oml-python:serialized_object": "type", "value": "np.float64"}
sklearn.preprocessing.data.OneHotEncoder(9)_handle_unknown"ignore"
sklearn.preprocessing.data.OneHotEncoder(9)_n_values"auto"
sklearn.preprocessing.data.OneHotEncoder(9)_sparsetrue
sklearn.feature_selection.variance_threshold.VarianceThreshold(7)_threshold0.0
sklearn.svm.classes.SVC(11)_C25.510134373089734
sklearn.svm.classes.SVC(11)_cache_size200
sklearn.svm.classes.SVC(11)_class_weightnull
sklearn.svm.classes.SVC(11)_coef0-0.41719959766121595
sklearn.svm.classes.SVC(11)_decision_function_shapenull
sklearn.svm.classes.SVC(11)_degree5
sklearn.svm.classes.SVC(11)_gamma0.09350129575125224
sklearn.svm.classes.SVC(11)_kernel"poly"
sklearn.svm.classes.SVC(11)_max_iter-1
sklearn.svm.classes.SVC(11)_probabilitytrue
sklearn.svm.classes.SVC(11)_random_state8594
sklearn.svm.classes.SVC(11)_shrinkingfalse
sklearn.svm.classes.SVC(11)_tol0.0011431416081309268
sklearn.svm.classes.SVC(11)_verbosefalse
sklearn.preprocessing.data.StandardScaler(7)_copytrue
sklearn.preprocessing.data.StandardScaler(7)_with_meanfalse
sklearn.preprocessing.data.StandardScaler(7)_with_stdtrue

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
0.7399 ± 0.0059
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5856 ± 0.0082
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2836 ± 0.0144
Cross-validation details (10-fold Crossvalidation)
KB relative information score
7600.2778 ± 15.3957
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3313 ± 0.0014
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3832 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
44819
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.5861 ± 0.0122
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6088 ± 0.0087
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.3491
Cross-validation details (10-fold Crossvalidation)
Recall
0.6088 ± 0.0087
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8646 ± 0.0038
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4377 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4058 ± 0.0018
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.927 ± 0.0041
Cross-validation details (10-fold Crossvalidation)