DEVELOPMENT... OpenML
Run
119513

Run 119513

Task 23 (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)_I10
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
0.6782
Per class
Build CPU time
16.7071
Build memory
1333166195.5682
F measure
0.5022
Per class
Kappa
0.2282
KB relative information score
410.9605
Mean absolute error
0.3371
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
0.5007
Per class
Predictive accuracy
0.5044
Prior entropy
1.5392
Recall
0.5044
Per class
Relative absolute error
0.7826
Root mean prior squared error
0.4641
Root mean squared error
0.5173
Root relative squared error
1.1146
SciMark benchmark
934.2858