DEVELOPMENT... OpenML
Run
120907

Run 120907

Task 3608 (Supervised Classification) fri_c4_500_100 Uploaded 11-12-2014 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
0.8323
Per class
Build CPU time
105.0059
Build memory
72064010.4
F measure
0.7734
Per class
Kappa
0.5377
KB relative information score
266.8516
Mean absolute error
0.2273
Mean prior absolute error
0.4913
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7733
Per class
Predictive accuracy
0.774
Prior entropy
0.9875
Recall
0.774
Per class
Relative absolute error
0.4627
Root mean prior squared error
0.4956
Root mean squared error
0.4688
Root relative squared error
0.9459
SciMark benchmark
935.6292