DEVELOPMENT... OpenML
Run
114923

Run 114923

Task 3058 (Supervised Classification) grub-damage Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_JRip(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_JRip(2)_I40
weka.AdaBoostM1_JRip(2)_P100
weka.AdaBoostM1_JRip(2)_S1
weka.AdaBoostM1_JRip(2)_Wweka.classifiers.rules.JRip
weka.JRip(2)_F3
weka.JRip(2)_N2.0
weka.JRip(2)_O2
weka.JRip(2)_S1

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
0.5564
Per class
Build CPU time
0.004
Build memory
852216416
F measure
0.3014
Per class
Kappa
0.0465
KB relative information score
5.0718
Mean absolute error
0.3526
Mean prior absolute error
0.3627
Number of instances
51
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.3729
Per class
Predictive accuracy
0.3137
Prior entropy
1.9281
Recall
0.3137
Per class
Relative absolute error
0.9723
Root mean prior squared error
0.425
Root mean squared error
0.4328
Root relative squared error
1.0183
SciMark benchmark
930.5854