Run
9793574

Run 9793574

Task 18 (Supervised Classification) mfeat-morphological Uploaded 22-10-2018 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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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
0.825 ± 0.0154
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6846 ± 0.0276
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.65 ± 0.0309
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1341.1728 ± 5.8121
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.063 ± 0.0056
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.686 ± 0.0287
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.685 ± 0.0278
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.685 ± 0.0278
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.35 ± 0.0309
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.251 ± 0.0109
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8367 ± 0.0363
Cross-validation details (10-fold Crossvalidation)