DEVELOPMENT... OpenML
Run
128374

Run 128374

Task 3648 (Supervised Classification) fri_c3_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
0.7729
Per class
Build CPU time
0.0036
Build memory
152649398.4
F measure
0.6986
Per class
Kappa
0.3697
KB relative information score
36.2468
Mean absolute error
0.3038
Mean prior absolute error
0.4804
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
0.6978
Per class
Predictive accuracy
0.7
Prior entropy
0.9721
Recall
0.7
Per class
Relative absolute error
0.6324
Root mean prior squared error
0.4899
Root mean squared error
0.4771
Root relative squared error
0.9739
SciMark benchmark
929.5397