DEVELOPMENT... OpenML
Run
119501

Run 119501

Task 4 (Supervised Classification) labor 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)_I10
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
0.9838
Per class
Build CPU time
0.2573
Build memory
499381455.4386
F measure
0.9477
Per class
Kappa
0.8858
KB relative information score
49.8427
Mean absolute error
0.0538
Mean prior absolute error
0.457
Number of instances
57
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9486
Per class
Predictive accuracy
0.9474
Prior entropy
0.9393
Recall
0.9474
Per class
Relative absolute error
0.1178
Root mean prior squared error
0.4773
Root mean squared error
0.2294
Root relative squared error
0.4807
SciMark benchmark
923.9118

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