Run
9794855

Run 9794855

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
0.8453 ± 0.0143
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7216 ± 0.0269
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6906 ± 0.0287
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1417.5131 ± 5.4014
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0557 ± 0.0052
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
0.7235 ± 0.0283
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7215 ± 0.0258
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.7215 ± 0.0258
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3094 ± 0.0287
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.236 ± 0.0112
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7867 ± 0.0373
Cross-validation details (10-fold Crossvalidation)