DEVELOPMENT... OpenML
Run
120709

Run 120709

Task 1787 (Supervised Classification) cmc 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)_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
0.6646
Per class
Build CPU time
25.3323
Build memory
388540816.756
F measure
0.4958
Per class
Kappa
0.2185
KB relative information score
2039.1384
Mean absolute error
0.3378
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
0.495
Per class
Predictive accuracy
0.4968
Prior entropy
1.5392
Recall
0.4968
Per class
Relative absolute error
0.784
Root mean prior squared error
0.4641
Root mean squared error
0.5411
Root relative squared error
1.1659
SciMark benchmark
916.1588