DEVELOPMENT... OpenML
Run
122092

Run 122092

Task 3724 (Supervised Classification) vinnie Uploaded 13-12-2014 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
0.9112
Per class
Build CPU time
2.6582
Build memory
1075666756
F measure
0.8315
Per class
Kappa
0.6636
KB relative information score
226.5998
Mean absolute error
0.211
Mean prior absolute error
0.4997
Number of instances
380
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8337
Per class
Predictive accuracy
0.8316
Prior entropy
0.9995
Recall
0.8316
Per class
Relative absolute error
0.4223
Root mean prior squared error
0.4998
Root mean squared error
0.3443
Root relative squared error
0.6889
SciMark benchmark
943.4163