DEVELOPMENT... OpenML
Run
119642

Run 119642

Task 2274 (Supervised Classification) meta_ensembles.arff 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
0.7149
Per class
Build CPU time
1.6587
Build memory
856852675.4595
F measure
0.6525
Per class
Kappa
0.3997
KB relative information score
27.9616
Mean absolute error
0.1849
Mean prior absolute error
0.2904
Number of instances
74
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6484
Per class
Predictive accuracy
0.6622
Prior entropy
1.5899
Recall
0.6622
Per class
Relative absolute error
0.6367
Root mean prior squared error
0.3782
Root mean squared error
0.4031
Root relative squared error
1.0658
SciMark benchmark
927.3354