DEVELOPMENT... OpenML
Run
130419

Run 130419

Task 3922 (Supervised Classification) desharnais 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)_I80
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
0.7398
Per class
Build CPU time
0.0275
Build memory
1529744577.5803
F measure
0.6376
Per class
Kappa
0.3386
KB relative information score
33.3568
Mean absolute error
0.2282
Mean prior absolute error
0.3804
Number of instances
81
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6461
Per class
Predictive accuracy
0.6543
Prior entropy
1.3765
Recall
0.6543
Per class
Relative absolute error
0.5999
Root mean prior squared error
0.4348
Root mean squared error
0.437
Root relative squared error
1.0051
SciMark benchmark
939.0159