Run
433931

Run 433931

Task 95 (Learning Curve) segment Uploaded 12-05-2015 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
0.8809 ± 0.0086
Per class
F measure
0.4871
Per class
Kappa
0.4924 ± 0.0172
KB relative information score
0.3175 ± 0.0042
Mean absolute error
0.2079 ± 0.0007
Mean prior absolute error
0.2449
Number of instances
23100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.506
Per class
Predictive accuracy
0.5649 ± 0.0147
Prior entropy
2.8074
Recall
0.5649 ± 0.0147
Per class
Relative absolute error
0.849 ± 0.0029
Root mean prior squared error
0.3499
Root mean squared error
0.3092 ± 0.0023
Root relative squared error
0.8836 ± 0.0065
SciMark benchmark
886.7826
UserCPU time millis
10
UserCPU time millis training
10