Run
54953

Run 54953

Task 1711 (Learning Curve) mfeat-factors Uploaded 10-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.Dagging_DecisionStump(2)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(2)_F10
weka.Dagging_DecisionStump(2)_S1
weka.Dagging_DecisionStump(2)_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.

21 Evaluation measures

Area under ROC curve
0.8935 ± 0.0151
Per class
Build CPU time
0.0291
Build memory
1153654652.3636
F measure
0.456 ± 0.0558
Per class
Kappa
0.425 ± 0.0434
KB relative information score
0.2217 ± 0.0056
Mean absolute error
0.1662 ± 0.0004
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.5133 ± 0.1082
Per class
Predictive accuracy
0.4825 ± 0.0391
Prior entropy
3.3219
Recall
0.4825 ± 0.0391
Per class
Relative absolute error
0.9233 ± 0.0024
Root mean prior squared error
0.3
Root mean squared error
0.2817 ± 0.001
Root relative squared error
0.9391 ± 0.0035
SciMark benchmark
1606.2579