DEVELOPMENT... OpenML
Run
120513

Run 120513

Task 3810 (Supervised Classification) arsenic-male-bladder 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)_I20
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
0.803
Per class
Build CPU time
7.5309
Build memory
738734921.4168
F measure
0.9678
Per class
Kappa
0.6082
KB relative information score
223.6152
Mean absolute error
0.0325
Mean prior absolute error
0.0837
Number of instances
559
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9678
Per class
Predictive accuracy
0.9678
Prior entropy
0.2628
Recall
0.9678
Per class
Relative absolute error
0.3889
Root mean prior squared error
0.2027
Root mean squared error
0.1796
Root relative squared error
0.8861
SciMark benchmark
942.3919