DEVELOPMENT... OpenML
Run
121387

Run 121387

Task 22 (Supervised Classification) mfeat-zernike 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
0.9583
Per class
Build CPU time
3272.7936
Build memory
889698387.2
F measure
0.8078
Per class
Kappa
0.7817
KB relative information score
1595.7122
Mean absolute error
0.0399
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8125
Per class
Predictive accuracy
0.8035
Prior entropy
3.3219
Recall
0.8035
Per class
Relative absolute error
0.2219
Root mean prior squared error
0.3
Root mean squared error
0.1939
Root relative squared error
0.6465
SciMark benchmark
945.0532