DEVELOPMENT... OpenML
Run
128985

Run 128985

Task 3658 (Supervised Classification) fri_c3_250_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)_I20
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
0.9466
Per class
Build CPU time
0.015
Build memory
1512512219.2
F measure
0.8518
Per class
Kappa
0.7015
KB relative information score
176.5444
Mean absolute error
0.1456
Mean prior absolute error
0.4968
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8519
Per class
Predictive accuracy
0.852
Prior entropy
0.9955
Recall
0.852
Per class
Relative absolute error
0.293
Root mean prior squared error
0.4984
Root mean squared error
0.3567
Root relative squared error
0.7158
SciMark benchmark
937.9119