DEVELOPMENT... OpenML
Run
129575

Run 129575

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)_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
0.785
Per class
Build CPU time
0.0199
Build memory
1083298038.4
F measure
0.6969
Per class
Kappa
0.3644
KB relative information score
36.0443
Mean absolute error
0.301
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
0.6962
Per class
Predictive accuracy
0.7
Prior entropy
0.9721
Recall
0.7
Per class
Relative absolute error
0.6267
Root mean prior squared error
0.4899
Root mean squared error
0.5279
Root relative squared error
1.0775
SciMark benchmark
916.8903