DEVELOPMENT... OpenML
Run
121737

Run 121737

Task 23 (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
0.6768
Per class
Build CPU time
41.0904
Build memory
111250933.3931
F measure
0.5061
Per class
Kappa
0.2352
KB relative information score
419.9026
Mean absolute error
0.3348
Mean prior absolute error
0.4308
Number of instances
1473
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5057
Per class
Predictive accuracy
0.5064
Prior entropy
1.5392
Recall
0.5064
Per class
Relative absolute error
0.7772
Root mean prior squared error
0.4641
Root mean squared error
0.5274
Root relative squared error
1.1363
SciMark benchmark
938.8324