DEVELOPMENT... OpenML
Run
120539

Run 120539

Task 250 (Supervised Classification) mfeat-pixel 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
0.9868
Per class
Build CPU time
6340.517
Build memory
293336016
F measure
0.9682
Per class
Kappa
0.9646
KB relative information score
638.6595
Mean absolute error
0.0063
Mean prior absolute error
0.18
Number of instances
660
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9686
Per class
Predictive accuracy
0.9682
Prior entropy
3.3219
Recall
0.9682
Per class
Relative absolute error
0.035
Root mean prior squared error
0.3
Root mean squared error
0.0783
Root relative squared error
0.2611
SciMark benchmark
908.8705