DEVELOPMENT... OpenML
Run
114896

Run 114896

Task 2353 (Supervised Classification) meta_batchincremental.arff 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
0.8127
Per class
Build CPU time
0.336
Build memory
523773344
F measure
0.7616
Per class
Kappa
0.3478
KB relative information score
8.4671
Mean absolute error
0.1003
Mean prior absolute error
0.2249
Number of instances
24
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7354
Per class
Predictive accuracy
0.7917
Prior entropy
1.3842
Recall
0.7917
Per class
Relative absolute error
0.4459
Root mean prior squared error
0.3095
Root mean squared error
0.2987
Root relative squared error
0.965
SciMark benchmark
902.712