DEVELOPMENT... OpenML
Run
120707

Run 120707

Task 1765 (Supervised Classification) anneal 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)_I40
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
0.9885
Per class
Build CPU time
112.9464
Build memory
1793106530.4
F measure
0.9908
Per class
Kappa
0.9771
KB relative information score
4272.8046
Mean absolute error
0.003
Mean prior absolute error
0.1343
Number of instances
4490
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9909
Per class
Predictive accuracy
0.9909
Prior entropy
1.2149
Recall
0.9909
Per class
Relative absolute error
0.0225
Root mean prior squared error
0.2582
Root mean squared error
0.0548
Root relative squared error
0.2121
SciMark benchmark
937.279