DEVELOPMENT... OpenML
Run
121125

Run 121125

Task 3903 (Supervised Classification) pc3 Uploaded 11-12-2014 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)_I40
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
0.7555
Per class
Build CPU time
89.3077
Build memory
1381623570.4312
F measure
0.8733
Per class
Kappa
0.2535
KB relative information score
249.6431
Mean absolute error
0.1146
Mean prior absolute error
0.1842
Number of instances
1563
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8657
Per class
Predictive accuracy
0.8848
Prior entropy
0.478
Recall
0.8848
Per class
Relative absolute error
0.6225
Root mean prior squared error
0.3031
Root mean squared error
0.3235
Root relative squared error
1.0673
SciMark benchmark
945.0554