DEVELOPMENT... OpenML
Run
120238

Run 120238

Task 3060 (Supervised Classification) squash-stored 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
0.6473
Per class
Build CPU time
0.914
Build memory
354950824
F measure
0.4001
Per class
Kappa
-0.0119
KB relative information score
2.1892
Mean absolute error
0.3921
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
0.9416
Root mean prior squared error
0.4569
Root mean squared error
0.626
Root relative squared error
1.37
SciMark benchmark
873.8637