Run
9620639

Run 9620639

Task 20 (Supervised Classification) mfeat-pixel Uploaded 20-10-2018 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
0.9111 ± 0.0183
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8641 ± 0.0272
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8222 ± 0.0367
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1665.3576 ± 6.9016
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.032 ± 0.0066
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
0.9286 ± 0.01
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.84 ± 0.033
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.84 ± 0.033
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1778 ± 0.0367
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1789 ± 0.0185
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5963 ± 0.0616
Cross-validation details (10-fold Crossvalidation)