DEVELOPMENT... OpenML
Run
128808

Run 128808

Task 2353 (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)_I20
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
0.8354
Per class
Build CPU time
0.013
Build memory
1048368560
F measure
0.724
Per class
Kappa
0.3226
KB relative information score
4.2696
Mean absolute error
0.165
Mean prior absolute error
0.2249
Number of instances
24
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7734
Per class
Predictive accuracy
0.7083
Prior entropy
1.3842
Recall
0.7083
Per class
Relative absolute error
0.7335
Root mean prior squared error
0.3095
Root mean squared error
0.304
Root relative squared error
0.9822
SciMark benchmark
909.5718