DEVELOPMENT... OpenML
Run
119929

Run 119929

Task 3812 (Supervised Classification) arsenic-female-bladder 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)_I10
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
0.7568
Per class
Build CPU time
3.6694
Build memory
289807529.703
F measure
0.8198
Per class
Kappa
0.2671
KB relative information score
54.8332
Mean absolute error
0.1746
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
0.8203
Per class
Predictive accuracy
0.8193
Prior entropy
0.5956
Recall
0.8193
Per class
Relative absolute error
0.7093
Root mean prior squared error
0.3502
Root mean squared error
0.3985
Root relative squared error
1.1381
SciMark benchmark
937.279