DEVELOPMENT... OpenML
Run
116773

Run 116773

Task 3812 (Supervised Classification) arsenic-female-bladder Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LADTree(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_LADTree(2)_I160
weka.AdaBoostM1_LADTree(2)_P100
weka.AdaBoostM1_LADTree(2)_S1
weka.AdaBoostM1_LADTree(2)_Wweka.classifiers.trees.LADTree
weka.LADTree(2)_B10

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
0.7066
Per class
Build CPU time
21.0631
Build memory
2928063780.1503
F measure
0.8226
Per class
Kappa
0.2484
KB relative information score
56.6567
Mean absolute error
0.174
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
0.8165
Per class
Predictive accuracy
0.8301
Prior entropy
0.5956
Recall
0.8301
Per class
Relative absolute error
0.7068
Root mean prior squared error
0.3502
Root mean squared error
0.4049
Root relative squared error
1.1563
SciMark benchmark
934.8107