DEVELOPMENT... OpenML
Run
121887

Run 121887

Task 2274 (Supervised Classification) meta_ensembles.arff 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
0.7
Per class
Build CPU time
26.2021
Build memory
1314567681.1892
F measure
0.6206
Per class
Kappa
0.3482
KB relative information score
27.4455
Mean absolute error
0.1877
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
0.6226
Per class
Predictive accuracy
0.6216
Prior entropy
1.5899
Recall
0.6216
Per class
Relative absolute error
0.6465
Root mean prior squared error
0.3782
Root mean squared error
0.4319
Root relative squared error
1.1421
SciMark benchmark
931.6517