DEVELOPMENT... OpenML
Run
138476

Run 138476

Task 3569 (Supervised Classification) prnn_viruses Uploaded 31-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_REPTree(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_REPTree(2)_I40
weka.AdaBoostM1_REPTree(2)_P100
weka.AdaBoostM1_REPTree(2)_S1
weka.AdaBoostM1_REPTree(2)_Wweka.classifiers.trees.REPTree
weka.REPTree(5)_I0.0
weka.REPTree(5)_L-1
weka.REPTree(5)_M2
weka.REPTree(5)_N3
weka.REPTree(5)_S1
weka.REPTree(5)_V0.001

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
0.942
Per class
Build CPU time
0.0039
Build memory
480413387.8033
F measure
0.8693
Per class
Kappa
0.753
KB relative information score
43.1649
Mean absolute error
0.0836
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
0.8735
Per class
Predictive accuracy
0.8689
Prior entropy
1.5019
Recall
0.8689
Per class
Relative absolute error
0.3055
Root mean prior squared error
0.3656
Root mean squared error
0.2274
Root relative squared error
0.622
SciMark benchmark
939.1359