DEVELOPMENT... OpenML
Run
129000

Run 129000

Task 3676 (Supervised Classification) rmftsa_ctoarrivals Uploaded 25-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_OneR(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_OneR(2)_I20
weka.AdaBoostM1_OneR(2)_P100
weka.AdaBoostM1_OneR(2)_S1
weka.AdaBoostM1_OneR(2)_Wweka.classifiers.rules.OneR
weka.OneR(3)_B6

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
0.9901
Per class
Build CPU time
0.0088
Build memory
1046918423.4546
F measure
0.9317
Per class
Kappa
0.8551
KB relative information score
221.8471
Mean absolute error
0.0773
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
0.9317
Per class
Predictive accuracy
0.9318
Prior entropy
0.9604
Recall
0.9318
Per class
Relative absolute error
0.1635
Root mean prior squared error
0.486
Root mean squared error
0.2033
Root relative squared error
0.4183
SciMark benchmark
937.9119