DEVELOPMENT... OpenML
Run
114709

Run 114709

Task 3672 (Supervised Classification) kin8nm 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)_I20
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
0.9183
Per class
Build CPU time
26.3106
Build memory
1442775376.0215
F measure
0.8397
Per class
Kappa
0.6794
KB relative information score
5268.0553
Mean absolute error
0.1829
Mean prior absolute error
0.4998
Number of instances
8192
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8398
Per class
Predictive accuracy
0.8397
Prior entropy
0.9998
Recall
0.8397
Per class
Relative absolute error
0.3659
Root mean prior squared error
0.4999
Root mean squared error
0.3519
Root relative squared error
0.7038
SciMark benchmark
906.6607