DEVELOPMENT... OpenML
Run
121305

Run 121305

Task 2272 (Supervised Classification) meta_all.arff 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
0.7578
Per class
Build CPU time
16.1045
Build memory
287212263.0986
F measure
0.6877
Per class
Kappa
0.4858
KB relative information score
34.3578
Mean absolute error
0.1036
Mean prior absolute error
0.2065
Number of instances
71
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6864
Per class
Predictive accuracy
0.6901
Prior entropy
1.9094
Recall
0.6901
Per class
Relative absolute error
0.5016
Root mean prior squared error
0.317
Root mean squared error
0.3213
Root relative squared error
1.0137
SciMark benchmark
936.914