DEVELOPMENT... OpenML
Run
119736

Run 119736

Task 3569 (Supervised Classification) prnn_viruses Uploaded 10-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LMT(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_LMT(2)_I10
weka.AdaBoostM1_LMT(2)_P100
weka.AdaBoostM1_LMT(2)_S1
weka.AdaBoostM1_LMT(2)_Wweka.classifiers.trees.LMT
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

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
0.9888
Per class
Build CPU time
0.6468
Build memory
1216092568
F measure
0.9823
Per class
Kappa
0.9691
KB relative information score
55.4986
Mean absolute error
0.0082
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
0.9848
Per class
Predictive accuracy
0.9836
Prior entropy
1.5019
Recall
0.9836
Per class
Relative absolute error
0.03
Root mean prior squared error
0.3656
Root mean squared error
0.0905
Root relative squared error
0.2477
SciMark benchmark
924.2473