DEVELOPMENT... OpenML
Run
121412

Run 121412

Task 3561 (Supervised Classification) profb 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)_I80
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
0.6377
Per class
Build CPU time
86.5616
Build memory
1018244566.6548
F measure
0.6718
Per class
Kappa
0.2456
KB relative information score
168.5278
Mean absolute error
0.3171
Mean prior absolute error
0.4446
Number of instances
672
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6681
Per class
Predictive accuracy
0.683
Prior entropy
0.9188
Recall
0.683
Per class
Relative absolute error
0.7132
Root mean prior squared error
0.4714
Root mean squared error
0.5582
Root relative squared error
1.184
SciMark benchmark
945.0532