DEVELOPMENT... OpenML
Run
121817

Run 121817

Task 252 (Supervised Classification) mfeat-zernike Uploaded 12-12-2014 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
0.9322
Per class
Build CPU time
5057.407
Build memory
874807392
F measure
0.826
Per class
Kappa
0.8045
KB relative information score
543.9003
Mean absolute error
0.0349
Mean prior absolute error
0.18
Number of instances
660
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8282
Per class
Predictive accuracy
0.8242
Prior entropy
3.3219
Recall
0.8242
Per class
Relative absolute error
0.194
Root mean prior squared error
0.3
Root mean squared error
0.1817
Root relative squared error
0.6057
SciMark benchmark
936.1433