Run
60044

Run 60044

Task 1740 (Learning Curve) soybean Uploaded 16-11-2014 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
0.9905 ± 0.0105
Per class
Build CPU time
0.1284
Build memory
984291757.3
F measure
0.9279 ± 0.0314
Per class
Kappa
0.9212 ± 0.0345
KB relative information score
0.9361 ± 0.0247
Mean absolute error
0.0076 ± 0.0028
Mean prior absolute error
0.0961 ± 0.0001
Number of instances
683
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9298 ± 0.0282
Per class
Predictive accuracy
0.9283 ± 0.0315
Prior entropy
3.8358 ± 0.0227
Recall
0.9283 ± 0.0315
Per class
Relative absolute error
0.0788 ± 0.0292
Root mean prior squared error
0.2191 ± 0.0002
Root mean squared error
0.0832 ± 0.0169
Root relative squared error
0.3796 ± 0.0772
SciMark benchmark
1091.0812