DEVELOPMENT... OpenML
Run
120532

Run 120532

Task 3837 (Supervised Classification) hayes-roth 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)_I20
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
0.8873
Per class
Build CPU time
0.9665
Build memory
1170068940.0606
F measure
0.8086
Per class
Kappa
0.5932
KB relative information score
76.2011
Mean absolute error
0.1965
Mean prior absolute error
0.4746
Number of instances
132
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.809
Per class
Predictive accuracy
0.8106
Prior entropy
0.9635
Recall
0.8106
Per class
Relative absolute error
0.4141
Root mean prior squared error
0.4869
Root mean squared error
0.3776
Root relative squared error
0.7754
SciMark benchmark
907.4175