DEVELOPMENT... OpenML
Run
115597

Run 115597

Task 3676 (Supervised Classification) rmftsa_ctoarrivals 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
0.9663
Per class
Build CPU time
0.0822
Build memory
717008367.9394
F measure
0.9506
Per class
Kappa
0.8952
KB relative information score
234.073
Mean absolute error
0.0526
Mean prior absolute error
0.4726
Number of instances
264
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9507
Per class
Predictive accuracy
0.9508
Prior entropy
0.9604
Recall
0.9508
Per class
Relative absolute error
0.1112
Root mean prior squared error
0.486
Root mean squared error
0.2187
Root relative squared error
0.45
SciMark benchmark
902.712