DEVELOPMENT... OpenML
Run
129581

Run 129581

Task 3654 (Supervised Classification) fri_c1_100_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
0.9265
Per class
Build CPU time
0.0191
Build memory
511924182.4
F measure
0.8598
Per class
Kappa
0.7183
KB relative information score
69.8629
Mean absolute error
0.151
Mean prior absolute error
0.4982
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8602
Per class
Predictive accuracy
0.86
Prior entropy
0.9975
Recall
0.86
Per class
Relative absolute error
0.3032
Root mean prior squared error
0.4991
Root mean squared error
0.3655
Root relative squared error
0.7323
SciMark benchmark
916.8903