DEVELOPMENT... OpenML
Run
121306

Run 121306

Task 2273 (Supervised Classification) meta_batchincremental.arff 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
0.6093
Per class
Build CPU time
14.6076
Build memory
343487544.8649
F measure
0.5794
Per class
Kappa
0.1332
KB relative information score
10.1854
Mean absolute error
0.1981
Mean prior absolute error
0.2519
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
0.5653
Per class
Predictive accuracy
0.5946
Prior entropy
1.3842
Recall
0.5946
Per class
Relative absolute error
0.7864
Root mean prior squared error
0.3504
Root mean squared error
0.4401
Root relative squared error
1.256
SciMark benchmark
936.914