Run
410672

Run 410672

Task 252 (Supervised Classification) mfeat-zernike Uploaded 01-05-2015 by Joaquin Vanschoren
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Flow

weka.Dagging_DecisionStump(3)Ting, K. M., Witten, I. H.: Stacking Bagged and Dagged Models. In: Fourteenth international Conference on Machine Learning, San Francisco, CA, 367-375, 1997.
weka.Dagging_DecisionStump(3)_F10
weka.Dagging_DecisionStump(3)_S1
weka.Dagging_DecisionStump(3)_Wweka.classifiers.trees.DecisionStump

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.7169
Per class
Cross-validation details (33% Holdout set)
F measure
0.0963
Per class
Cross-validation details (33% Holdout set)
Kappa
0.1175
Cross-validation details (33% Holdout set)
KB relative information score
120.6598
Cross-validation details (33% Holdout set)
Mean absolute error
0.1691
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.18
Cross-validation details (33% Holdout set)
Number of instances
660
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.0751
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.2
Cross-validation details (33% Holdout set)
Prior entropy
3.3219
Cross-validation details (33% Holdout set)
Recall
0.2
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.9392
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3
Cross-validation details (33% Holdout set)
Root mean squared error
0.2902
Cross-validation details (33% Holdout set)
Root relative squared error
0.9672
Cross-validation details (33% Holdout set)
SciMark benchmark
931.7994
UserCPU time millis
30
Cross-validation details (33% Holdout set)
UserCPU time millis training
30
Cross-validation details (33% Holdout set)