Run
122163

Run 122163

Task 3812 (Supervised Classification) arsenic-female-bladder Uploaded 13-12-2014 by Joaquin Vanschoren
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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)_I160
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
0.6495
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
61.3415
Cross-validation details (10-fold Crossvalidation)
Build memory
1173735906.0895
Cross-validation details (10-fold Crossvalidation)
F measure
0.8119
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.247
Cross-validation details (10-fold Crossvalidation)
KB relative information score
17.6004
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1893
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2462
Cross-validation details (10-fold Crossvalidation)
Number of instances
559
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8155
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8086
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5956
Cross-validation details (10-fold Crossvalidation)
Recall
0.8086
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7688
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3502
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4324
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2349
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
931.9671