DEVELOPMENT... OpenML
Run
61537

Run 61537

Task 1713 (Learning Curve) mfeat-fourier Uploaded 16-11-2014 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
0.9616 ± 0.0093
Per class
Build CPU time
1.596
Build memory
2052429956.0727
F measure
0.8147 ± 0.0179
Per class
Kappa
0.7944 ± 0.0192
KB relative information score
0.8177 ± 0.016
Mean absolute error
0.0369 ± 0.0031
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8158 ± 0.0183
Per class
Predictive accuracy
0.815 ± 0.0173
Prior entropy
3.3219
Recall
0.815 ± 0.0173
Per class
Relative absolute error
0.2052 ± 0.0173
Root mean prior squared error
0.3
Root mean squared error
0.1826 ± 0.0084
Root relative squared error
0.6086 ± 0.0279
SciMark benchmark
1591.1714