Run
9858418

Run 9858418

Task 9985 (Supervised Classification) first-order-theorem-proving Uploaded 23-10-2018 by Scikit-learn Bot
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Flow

sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transfo rmer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.pr eprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.St andardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.imput e.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder )),variancethreshold=sklearn.feature_selection.variance_threshold.VarianceT hreshold,svc=sklearn.svm.classes.SVC)(1)Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler)(1)_memorynull
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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
0.7145 ± 0.0151
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.566 ± 0.0241
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.423 ± 0.0312
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2702.8523 ± 17.7865
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1384 ± 0.007
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2508 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Number of instances
6118
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.5625 ± 0.0257
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5848 ± 0.021
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.3005
Cross-validation details (10-fold Crossvalidation)
Recall
0.5848 ± 0.021
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5519 ± 0.028
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3541 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.372 ± 0.0095
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0506 ± 0.0268
Cross-validation details (10-fold Crossvalidation)