DEVELOPMENT... OpenML
Run
121152

Run 121152

Task 11 (Supervised Classification) balance-scale 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
0.9771
Per class
Build CPU time
82.9449
Build memory
1211531438.0032
F measure
0.9499
Per class
Kappa
0.9106
KB relative information score
560.2893
Mean absolute error
0.0344
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
0.9515
Per class
Predictive accuracy
0.9488
Prior entropy
1.3212
Recall
0.9488
Per class
Relative absolute error
0.0905
Root mean prior squared error
0.4356
Root mean squared error
0.1827
Root relative squared error
0.4194
SciMark benchmark
906.6607