DEVELOPMENT... OpenML
Run
119538

Run 119538

Task 55 (Supervised Classification) vote 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
0.9823
Per class
Build CPU time
3.6093
Build memory
396461012.377
F measure
0.9655
Per class
Kappa
0.9273
KB relative information score
400.1215
Mean absolute error
0.0375
Mean prior absolute error
0.4742
Number of instances
435
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9656
Per class
Predictive accuracy
0.9655
Prior entropy
0.9627
Recall
0.9655
Per class
Relative absolute error
0.079
Root mean prior squared error
0.4869
Root mean squared error
0.1859
Root relative squared error
0.3818
SciMark benchmark
913.3372