DEVELOPMENT... OpenML
Run
130708

Run 130708

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)_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
0.9799
Per class
Build CPU time
0.0316
Build memory
636700374.5574
F measure
0.9662
Per class
Kappa
0.9385
KB relative information score
53.4712
Mean absolute error
0.0187
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
0.0685
Root mean prior squared error
0.3656
Root mean squared error
0.1306
Root relative squared error
0.3573
SciMark benchmark
927.3354