DEVELOPMENT... OpenML
Run
130658

Run 130658

Task 3496 (Supervised Classification) SPECTF 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)_I160
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
0.9532
Per class
Build CPU time
0.4719
Build memory
1013959125.2722
F measure
0.904
Per class
Kappa
0.762
KB relative information score
255.6254
Mean absolute error
0.0963
Mean prior absolute error
0.3968
Number of instances
349
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9072
Per class
Predictive accuracy
0.9026
Prior entropy
0.8464
Recall
0.9026
Per class
Relative absolute error
0.2427
Root mean prior squared error
0.4451
Root mean squared error
0.302
Root relative squared error
0.6786
SciMark benchmark
927.3354