DEVELOPMENT... OpenML
Run
120434

Run 120434

Task 3722 (Supervised Classification) hungarian 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)_I20
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
0.8307
Per class
Build CPU time
4.5897
Build memory
119776215.8367
F measure
0.7716
Per class
Kappa
0.4987
KB relative information score
146.183
Mean absolute error
0.2236
Mean prior absolute error
0.4614
Number of instances
294
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7715
Per class
Predictive accuracy
0.7755
Prior entropy
0.9439
Recall
0.7755
Per class
Relative absolute error
0.4846
Root mean prior squared error
0.4802
Root mean squared error
0.4654
Root relative squared error
0.9692
SciMark benchmark
939.521