Run
9702300

Run 9702300

Task 20 (Supervised Classification) mfeat-pixel Uploaded 21-10-2018 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
0.9872 ± 0.003
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.977 ± 0.0054
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9744 ± 0.006
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1951.8952 ± 1.1242
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0046 ± 0.0011
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
0.9773 ± 0.0052
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.977 ± 0.0054
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.977 ± 0.0054
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0256 ± 0.006
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0678 ± 0.0082
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2261 ± 0.0272
Cross-validation details (10-fold Crossvalidation)