DEVELOPMENT... OpenML
Run
122127

Run 122127

Task 3761 (Supervised Classification) hip 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
0.9045
Per class
Build CPU time
2.957
Build memory
181349684.1481
F measure
0.9073
Per class
Kappa
0.8143
KB relative information score
43.9779
Mean absolute error
0.0926
Mean prior absolute error
0.4993
Number of instances
54
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9078
Per class
Predictive accuracy
0.9074
Prior entropy
0.9991
Recall
0.9074
Per class
Relative absolute error
0.1854
Root mean prior squared error
0.4997
Root mean squared error
0.3043
Root relative squared error
0.609
SciMark benchmark
943.4163