DEVELOPMENT... OpenML
Run
114969

Run 114969

Task 1780 (Supervised Classification) mfeat-karhunen 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
0.9823
Per class
Build CPU time
39.4779
Build memory
3252833068.8
F measure
0.9395
Per class
Kappa
0.9324
KB relative information score
9376.6677
Mean absolute error
0.0122
Mean prior absolute error
0.18
Number of instances
10000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9407
Per class
Predictive accuracy
0.9392
Prior entropy
3.3219
Recall
0.9392
Per class
Relative absolute error
0.0677
Root mean prior squared error
0.3
Root mean squared error
0.1074
Root relative squared error
0.358
SciMark benchmark
927.3354