DEVELOPMENT... OpenML
Run
129819

Run 129819

Task 3923 (Supervised Classification) datatrieve 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
0.5241
Per class
Build CPU time
0.0111
Build memory
686677248
F measure
0.8432
Per class
Kappa
-0.0767
KB relative information score
-30.2852
Mean absolute error
0.1434
Mean prior absolute error
0.1601
Number of instances
130
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8329
Per class
Predictive accuracy
0.8538
Prior entropy
0.4395
Recall
0.8538
Per class
Relative absolute error
0.8952
Root mean prior squared error
0.2784
Root mean squared error
0.3749
Root relative squared error
1.3466
SciMark benchmark
925.481