DEVELOPMENT... OpenML
Run
121886

Run 121886

Task 2273 (Supervised Classification) meta_batchincremental.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
0.6158
Per class
Build CPU time
28.2899
Build memory
1027940996.1081
F measure
0.5888
Per class
Kappa
0.1508
KB relative information score
10.8561
Mean absolute error
0.1962
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
0.5707
Per class
Predictive accuracy
0.6081
Prior entropy
1.3842
Recall
0.6081
Per class
Relative absolute error
0.7789
Root mean prior squared error
0.3504
Root mean squared error
0.4424
Root relative squared error
1.2625
SciMark benchmark
938.6131