DEVELOPMENT... OpenML
Run
130409

Run 130409

Task 3913 (Supervised Classification) kc2 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
0.6941
Per class
Build CPU time
0.1707
Build memory
1450201484.4751
F measure
0.7799
Per class
Kappa
0.3144
KB relative information score
108.5225
Mean absolute error
0.2262
Mean prior absolute error
0.3266
Number of instances
522
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7769
Per class
Predictive accuracy
0.7835
Prior entropy
0.734
Recall
0.7835
Per class
Relative absolute error
0.6925
Root mean prior squared error
0.4037
Root mean squared error
0.4359
Root relative squared error
1.0798
SciMark benchmark
925.481