DEVELOPMENT... OpenML
Run
128108

Run 128108

Task 266 (Supervised Classification) segment 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)_I10
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
0.9564
Per class
Build CPU time
0.086
Build memory
1480391368
F measure
0.7759
Per class
Kappa
0.7427
KB relative information score
496.3466
Mean absolute error
0.1171
Mean prior absolute error
0.2449
Number of instances
762
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7764
Per class
Predictive accuracy
0.7795
Prior entropy
2.8074
Recall
0.7795
Per class
Relative absolute error
0.4782
Root mean prior squared error
0.3499
Root mean squared error
0.2209
Root relative squared error
0.6312
SciMark benchmark
929.5397