Run
65043

Run 65043

Task 2094 (Learning Curve) adult Uploaded 19-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.MultiBoostAB_JRip(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.JRip(2)_F3
weka.JRip(2)_N2.0
weka.JRip(2)_O2
weka.JRip(2)_S1
weka.MultiBoostAB_JRip(2)_C3
weka.MultiBoostAB_JRip(2)_P100
weka.MultiBoostAB_JRip(2)_S1
weka.MultiBoostAB_JRip(2)_I10
weka.MultiBoostAB_JRip(2)_Wweka.classifiers.rules.JRip

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
0.8844 ± 0.0055
Per class
Build CPU time
37.8914
Build memory
4121052281.44
F measure
0.8301 ± 0.0049
Per class
Kappa
0.5198 ± 0.0136
KB relative information score
0.4894 ± 0.0157
Mean absolute error
0.1653 ± 0.0049
Mean prior absolute error
0.3641 ± 0
Number of instances
48842
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8283 ± 0.0054
Per class
Predictive accuracy
0.836 ± 0.0052
Prior entropy
0.7938 ± 0.0002
Recall
0.836 ± 0.0052
Per class
Relative absolute error
0.4541 ± 0.0134
Root mean prior squared error
0.4266 ± 0.0001
Root mean squared error
0.3828 ± 0.0071
Root relative squared error
0.8973 ± 0.0166
SciMark benchmark
1605.1864