DEVELOPMENT... OpenML
Run
129596

Run 129596

Task 3672 (Supervised Classification) kin8nm 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
0.6843
Per class
Build CPU time
1.3344
Build memory
771394961.7422
F measure
0.6379
Per class
Kappa
0.2755
KB relative information score
2147.5213
Mean absolute error
0.3696
Mean prior absolute error
0.4998
Number of instances
8192
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6379
Per class
Predictive accuracy
0.6379
Prior entropy
0.9998
Recall
0.6379
Per class
Relative absolute error
0.7394
Root mean prior squared error
0.4999
Root mean squared error
0.5683
Root relative squared error
1.1369
SciMark benchmark
916.8903