DEVELOPMENT... OpenML
Run
53748

Run 53748

Task 1730 (Learning Curve) credit-g 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
0.7316 ± 0.0485
Per class
Build CPU time
0.0368
Build memory
2734968514.3111
F measure
0.7174 ± 0.0418
Per class
Kappa
0.306 ± 0.1077
KB relative information score
0.3191 ± 0.0928
Mean absolute error
0.2664 ± 0.0365
Mean prior absolute error
0.4202
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7144 ± 0.0442
Per class
Predictive accuracy
0.731 ± 0.0354
Prior entropy
0.8813
Recall
0.731 ± 0.0354
Per class
Relative absolute error
0.634 ± 0.0869
Root mean prior squared error
0.4583
Root mean squared error
0.4929 ± 0.0431
Root relative squared error
1.0755 ± 0.094
SciMark benchmark
1624.8488