DEVELOPMENT... OpenML
Run
120206

Run 120206

Task 2353 (Supervised Classification) meta_batchincremental.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)_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
0.7292
Per class
Build CPU time
1.67
Build memory
183807584
F measure
0.6471
Per class
Kappa
0.1818
KB relative information score
2.4273
Mean absolute error
0.1794
Mean prior absolute error
0.2249
Number of instances
24
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7139
Per class
Predictive accuracy
0.625
Prior entropy
1.3842
Recall
0.625
Per class
Relative absolute error
0.7976
Root mean prior squared error
0.3095
Root mean squared error
0.4167
Root relative squared error
1.3463
SciMark benchmark
935.6292