DEVELOPMENT... OpenML
Run
128360

Run 128360

Task 3634 (Supervised Classification) fri_c3_100_25 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
0.7648
Per class
Build CPU time
0.0063
Build memory
675266918.4
F measure
0.7267
Per class
Kappa
0.4467
KB relative information score
38.9824
Mean absolute error
0.3069
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
0.7308
Per class
Predictive accuracy
0.73
Prior entropy
0.9931
Recall
0.73
Per class
Relative absolute error
0.6198
Root mean prior squared error
0.4975
Root mean squared error
0.474
Root relative squared error
0.9529
SciMark benchmark
929.5397