DEVELOPMENT... OpenML
Run
129615

Run 129615

Task 3695 (Supervised Classification) fri_c2_250_10 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)_I40
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
0.916
Per class
Build CPU time
0.0445
Build memory
351048504
F measure
0.8861
Per class
Kappa
0.7511
KB relative information score
185.7604
Mean absolute error
0.1147
Mean prior absolute error
0.4633
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8888
Per class
Predictive accuracy
0.888
Prior entropy
0.9468
Recall
0.888
Per class
Relative absolute error
0.2475
Root mean prior squared error
0.4812
Root mean squared error
0.3313
Root relative squared error
0.6885
SciMark benchmark
916.8903