DEVELOPMENT... OpenML
Run
115879

Run 115879

Task 1768 (Supervised Classification) labor 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)_I160
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
0.8492
Per class
Build CPU time
0.0134
Build memory
1105894718.9333
F measure
0.8416
Per class
Kappa
0.6465
KB relative information score
185.5419
Mean absolute error
0.1517
Mean prior absolute error
0.457
Number of instances
285
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8452
Per class
Predictive accuracy
0.8456
Prior entropy
0.9393
Recall
0.8456
Per class
Relative absolute error
0.332
Root mean prior squared error
0.4773
Root mean squared error
0.3766
Root relative squared error
0.7891
SciMark benchmark
933.4498