DEVELOPMENT... OpenML
Run
128395

Run 128395

Task 3673 (Supervised Classification) fri_c0_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)_I10
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
0.6614
Per class
Build CPU time
0.003
Build memory
623283297.6
F measure
0.6296
Per class
Kappa
0.251
KB relative information score
21.4377
Mean absolute error
0.3903
Mean prior absolute error
0.4951
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
0.6293
Per class
Predictive accuracy
0.63
Prior entropy
0.9931
Recall
0.63
Per class
Relative absolute error
0.7882
Root mean prior squared error
0.4975
Root mean squared error
0.5571
Root relative squared error
1.1198
SciMark benchmark
929.5397