DEVELOPMENT... OpenML
Run
51070

Run 51070

Task 1757 (Learning Curve) waveform-5000 Uploaded 06-11-2014 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
0.9382 ± 0.0053
Per class
Build CPU time
1.0059
Build memory
344726239.8857
F measure
0.8255 ± 0.0139
Per class
Kappa
0.7387 ± 0.0209
KB relative information score
0.7631 ± 0.0169
Mean absolute error
0.1164 ± 0.0082
Mean prior absolute error
0.4444 ± 0
Number of instances
5000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8258 ± 0.0138
Per class
Predictive accuracy
0.8258 ± 0.0139
Prior entropy
1.5849 ± 0
Recall
0.8258 ± 0.0139
Per class
Relative absolute error
0.2618 ± 0.0184
Root mean prior squared error
0.4714 ± 0
Root mean squared error
0.3231 ± 0.0116
Root relative squared error
0.6855 ± 0.0247
SciMark benchmark
1662.0484