DEVELOPMENT... OpenML
Run
130107

Run 130107

Task 3569 (Supervised Classification) prnn_viruses 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
0.9806
Per class
Build CPU time
0.015
Build memory
522686098.4918
F measure
0.9662
Per class
Kappa
0.9385
KB relative information score
53.7572
Mean absolute error
0.0167
Mean prior absolute error
0.2735
Number of instances
61
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9696
Per class
Predictive accuracy
0.9672
Prior entropy
1.5019
Recall
0.9672
Per class
Relative absolute error
0.061
Root mean prior squared error
0.3656
Root mean squared error
0.1281
Root relative squared error
0.3503
SciMark benchmark
916.8903