DEVELOPMENT... OpenML
Run
121833

Run 121833

Task 1787 (Supervised Classification) cmc Uploaded 12-12-2014 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)_I160
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
0.664
Per class
Build CPU time
29.7689
Build memory
95681537.5164
F measure
0.4983
Per class
Kappa
0.2223
KB relative information score
2046.7576
Mean absolute error
0.3373
Mean prior absolute error
0.4308
Number of instances
7365
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4974
Per class
Predictive accuracy
0.4994
Prior entropy
1.5392
Recall
0.4994
Per class
Relative absolute error
0.783
Root mean prior squared error
0.4641
Root mean squared error
0.5412
Root relative squared error
1.166
SciMark benchmark
939.0159