DEVELOPMENT... OpenML
Run
130606

Run 130606

Task 2273 (Supervised Classification) meta_batchincremental.arff 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)_I160
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
0.6735
Per class
Build CPU time
0.0408
Build memory
459408159.4595
F measure
0.6217
Per class
Kappa
0.207
KB relative information score
16.9576
Mean absolute error
0.18
Mean prior absolute error
0.2519
Number of instances
74
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5874
Per class
Predictive accuracy
0.6622
Prior entropy
1.3842
Recall
0.6622
Per class
Relative absolute error
0.7145
Root mean prior squared error
0.3504
Root mean squared error
0.3691
Root relative squared error
1.0534
SciMark benchmark
927.3354