DEVELOPMENT... OpenML
Run
128396

Run 128396

Task 3672 (Supervised Classification) kin8nm 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)_I10
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
0.6666
Per class
Build CPU time
0.2633
Build memory
561796803.5576
F measure
0.6236
Per class
Kappa
0.247
KB relative information score
1678.704
Mean absolute error
0.4005
Mean prior absolute error
0.4998
Number of instances
8192
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6236
Per class
Predictive accuracy
0.6237
Prior entropy
0.9998
Recall
0.6237
Per class
Relative absolute error
0.8012
Root mean prior squared error
0.4999
Root mean squared error
0.538
Root relative squared error
1.0762
SciMark benchmark
943.5504