Run
433865

Run 433865

Task 75 (Learning Curve) mfeat-karhunen 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
0.7595 ± 0.0353
Per class
F measure
0.2368
Per class
Kappa
0.2062 ± 0.0919
KB relative information score
0.2038 ± 0.0046
Mean absolute error
0.1674 ± 0.0004
Mean prior absolute error
0.18
Number of instances
20000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.312
Per class
Predictive accuracy
0.2856 ± 0.0828
Prior entropy
3.3219
Recall
0.2856 ± 0.0828
Per class
Relative absolute error
0.9302 ± 0.0023
Root mean prior squared error
0.3
Root mean squared error
0.2873 ± 0.0015
Root relative squared error
0.9576 ± 0.0051
SciMark benchmark
913.9348
UserCPU time millis
40
UserCPU time millis training
40