Run
9787927

Run 9787927

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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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
0.8486 ± 0.0148
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.728 ± 0.0279
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6972 ± 0.0297
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1430.0622 ± 5.5828
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0545 ± 0.0053
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
0.731 ± 0.0329
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7275 ± 0.0267
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.7275 ± 0.0267
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3028 ± 0.0297
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2335 ± 0.0116
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7782 ± 0.0386
Cross-validation details (10-fold Crossvalidation)