Run
433879

Run 433879

Task 79 (Learning Curve) mfeat-pixel 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
0.8098 ± 0.0373
Per class
F measure
0.2856 ± 0.1142
Per class
Kappa
0.2718 ± 0.0902
KB relative information score
0.2151 ± 0.0054
Mean absolute error
0.1667 ± 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
0.3761 ± 0.1384
Per class
Predictive accuracy
0.3447 ± 0.0812
Prior entropy
3.3219
Recall
0.3447 ± 0.0812
Per class
Relative absolute error
0.9264 ± 0.0024
Root mean prior squared error
0.3
Root mean squared error
0.2855 ± 0.0014
Root relative squared error
0.9517 ± 0.0047
SciMark benchmark
895.2913
UserCPU time millis
30
UserCPU time millis training
30