DEVELOPMENT... OpenML
Run
120765

Run 120765

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)_I40
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
0.715
Per class
Build CPU time
3.389
Build memory
436679560
F measure
0.6471
Per class
Kappa
0.1818
KB relative information score
1.9374
Mean absolute error
0.1868
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
0.8308
Root mean prior squared error
0.3095
Root mean squared error
0.4315
Root relative squared error
1.3942
SciMark benchmark
933.4498