DEVELOPMENT... OpenML
Run
112828

Run 112828

Task 3676 (Supervised Classification) rmftsa_ctoarrivals Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_J48(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_J48(2)_I20
weka.AdaBoostM1_J48(2)_P100
weka.AdaBoostM1_J48(2)_S1
weka.AdaBoostM1_J48(2)_Wweka.classifiers.trees.J48
weka.J48(3)_C0.25
weka.J48(3)_M2

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
0.9233
Per class
Build CPU time
0.0114
Build memory
211870442.0303
F measure
0.9312
Per class
Kappa
0.8535
KB relative information score
224.9556
Mean absolute error
0.0679
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
0.9325
Per class
Predictive accuracy
0.9318
Prior entropy
0.9604
Recall
0.9318
Per class
Relative absolute error
0.1437
Root mean prior squared error
0.486
Root mean squared error
0.2594
Root relative squared error
0.5336
SciMark benchmark
935.6292