Run
433906

Run 433906

Task 115 (Learning Curve) vowel 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
0.8143 ± 0.0239
Per class
F measure
0.2885
Per class
Kappa
0.2686 ± 0.0502
KB relative information score
0.1803 ± 0.0078
Mean absolute error
0.1559 ± 0.0005
Mean prior absolute error
0.1653
Number of instances
9900
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.3322
Per class
Predictive accuracy
0.3351 ± 0.0457
Prior entropy
3.4594
Recall
0.3351 ± 0.0457
Per class
Relative absolute error
0.9431 ± 0.0031
Root mean prior squared error
0.2875
Root mean squared error
0.2754 ± 0.0011
Root relative squared error
0.9578 ± 0.0038
SciMark benchmark
935.5676
UserCPU time millis
10
UserCPU time millis training
10