Run
9761959

Run 9761959

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.svm.classes.SVC(22)_C748.3590514145561
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sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder))(1)_remainder"passthrough"
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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
0.9869 ± 0.0032
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9765 ± 0.0058
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9739 ± 0.0064
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1950.8494 ± 1.2126
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0047 ± 0.0012
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
0.9768 ± 0.0056
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9765 ± 0.0058
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.9765 ± 0.0058
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0261 ± 0.0064
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0686 ± 0.0083
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2285 ± 0.0277
Cross-validation details (10-fold Crossvalidation)