DEVELOPMENT... OpenML
Run
53745

Run 53745

Task 1710 (Learning Curve) balance-scale Uploaded 08-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.MultiBoostAB_J48(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.J48(3)_C0.25
weka.J48(3)_M2
weka.MultiBoostAB_J48(2)_C3
weka.MultiBoostAB_J48(2)_P100
weka.MultiBoostAB_J48(2)_S1
weka.MultiBoostAB_J48(2)_I10
weka.MultiBoostAB_J48(2)_Wweka.classifiers.trees.J48

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
0.9405 ± 0.0186
Per class
Build CPU time
0.0134
Build memory
2327892917.9
F measure
0.8098 ± 0.0297
Per class
Kappa
0.6655 ± 0.0625
KB relative information score
0.6115 ± 0.0492
Mean absolute error
0.1293 ± 0.0208
Mean prior absolute error
0.3798 ± 0.0012
Number of instances
625
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8103 ± 0.0296
Per class
Predictive accuracy
0.8096 ± 0.0378
Prior entropy
1.3181 ± 0.0124
Recall
0.8096 ± 0.0378
Per class
Relative absolute error
0.3405 ± 0.0552
Root mean prior squared error
0.4356 ± 0.0014
Root mean squared error
0.3398 ± 0.0328
Root relative squared error
0.7801 ± 0.0758
SciMark benchmark
1624.8488