DEVELOPMENT... OpenML
Run
119684

Run 119684

Task 3494 (Supervised Classification) monks-problems-3 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
0.9883
Per class
Build CPU time
2.8415
Build memory
78554092.8087
F measure
0.9783
Per class
Kappa
0.9566
KB relative information score
529.8701
Mean absolute error
0.0219
Mean prior absolute error
0.4992
Number of instances
554
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9783
Per class
Predictive accuracy
0.9783
Prior entropy
0.9989
Recall
0.9783
Per class
Relative absolute error
0.0439
Root mean prior squared error
0.4996
Root mean squared error
0.1433
Root relative squared error
0.2867
SciMark benchmark
939.6298