DEVELOPMENT... OpenML
Run
121342

Run 121342

Task 3060 (Supervised Classification) squash-stored 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
0.555
Per class
Build CPU time
2.344
Build memory
2378792208
F measure
0.4001
Per class
Kappa
-0.0119
KB relative information score
2.1875
Mean absolute error
0.3922
Mean prior absolute error
0.4164
Number of instances
17
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.461
Per class
Predictive accuracy
0.4118
Prior entropy
1.4782
Recall
0.4118
Per class
Relative absolute error
0.9418
Root mean prior squared error
0.4569
Root mean squared error
0.6262
Root relative squared error
1.3705
SciMark benchmark
942.3919