DEVELOPMENT... OpenML
Run
113768

Run 113768

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)_I10
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
0.8558
Per class
Build CPU time
0.08
Build memory
252399136
F measure
0.8108
Per class
Kappa
0.5556
KB relative information score
8.8056
Mean absolute error
0.1032
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
0.8102
Per class
Predictive accuracy
0.8333
Prior entropy
1.3842
Recall
0.8333
Per class
Relative absolute error
0.459
Root mean prior squared error
0.3095
Root mean squared error
0.2775
Root relative squared error
0.8966
SciMark benchmark
917.4547