DEVELOPMENT... OpenML
Run
121730

Run 121730

Task 11 (Supervised Classification) balance-scale Uploaded 12-12-2014 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)_I160
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
0.977
Per class
Build CPU time
154.4509
Build memory
687097303.3472
F measure
0.961
Per class
Kappa
0.9303
KB relative information score
578.0823
Mean absolute error
0.0263
Mean prior absolute error
0.3798
Number of instances
625
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9629
Per class
Predictive accuracy
0.96
Prior entropy
1.3212
Recall
0.96
Per class
Relative absolute error
0.0692
Root mean prior squared error
0.4356
Root mean squared error
0.1607
Root relative squared error
0.3689
SciMark benchmark
908.8705