DEVELOPMENT... OpenML
Run
128425

Run 128425

Task 3707 (Supervised Classification) analcatdata_runshoes 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
0.6829
Per class
Build CPU time
0.0013
Build memory
586941464
F measure
0.6487
Per class
Kappa
0.2657
KB relative information score
13.4345
Mean absolute error
0.3726
Mean prior absolute error
0.4806
Number of instances
60
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6477
Per class
Predictive accuracy
0.65
Prior entropy
0.9728
Recall
0.65
Per class
Relative absolute error
0.7752
Root mean prior squared error
0.4899
Root mean squared error
0.5103
Root relative squared error
1.0417
SciMark benchmark
929.5397