DEVELOPMENT... OpenML
Run
131013

Run 131013

Task 3916 (Supervised Classification) kc1-binary 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
0.7658
Per class
Build CPU time
0.4415
Build memory
817115943.6138
F measure
0.7397
Per class
Kappa
0.4702
KB relative information score
65.8525
Mean absolute error
0.2611
Mean prior absolute error
0.4853
Number of instances
145
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7458
Per class
Predictive accuracy
0.7379
Prior entropy
0.979
Recall
0.7379
Per class
Relative absolute error
0.5381
Root mean prior squared error
0.4925
Root mean squared error
0.5085
Root relative squared error
1.0324
SciMark benchmark
927.3354