DEVELOPMENT... OpenML
Run
115645

Run 115645

Task 3762 (Supervised Classification) analcatdata_negotiation 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)_I80
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
0.8852
Per class
Build CPU time
0.0195
Build memory
513627949.8261
F measure
0.8141
Per class
Kappa
0.5389
KB relative information score
48.0943
Mean absolute error
0.1805
Mean prior absolute error
0.4075
Number of instances
92
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8132
Per class
Predictive accuracy
0.8152
Prior entropy
0.8651
Recall
0.8152
Per class
Relative absolute error
0.443
Root mean prior squared error
0.4503
Root mean squared error
0.3871
Root relative squared error
0.8596
SciMark benchmark
890.3066