DEVELOPMENT... OpenML
Run
121037

Run 121037

Task 3812 (Supervised Classification) arsenic-female-bladder 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)_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
0.6883
Per class
Build CPU time
15.2576
Build memory
80852093.7531
F measure
0.822
Per class
Kappa
0.2781
KB relative information score
53.6709
Mean absolute error
0.1769
Mean prior absolute error
0.2462
Number of instances
559
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.823
Per class
Predictive accuracy
0.8211
Prior entropy
0.5956
Recall
0.8211
Per class
Relative absolute error
0.7186
Root mean prior squared error
0.3502
Root mean squared error
0.4147
Root relative squared error
1.1842
SciMark benchmark
923.3659