Run
123165

Run 123165

Task 3810 (Supervised Classification) arsenic-male-bladder Uploaded 17-12-2014 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_LWL_DecisionStump(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_LWL_DecisionStump(2)_I80
weka.AdaBoostM1_LWL_DecisionStump(2)_P100
weka.AdaBoostM1_LWL_DecisionStump(2)_S1
weka.AdaBoostM1_LWL_DecisionStump(2)_Wweka.classifiers.lazy.LWL
weka.LWL_DecisionStump(2)_Atrue
weka.LWL_DecisionStump(2)_K-1
weka.LWL_DecisionStump(2)_U0
weka.LWL_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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
0.8038
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
43.798
Cross-validation details (10-fold Crossvalidation)
Build memory
28142421.1234
Cross-validation details (10-fold Crossvalidation)
F measure
0.9642
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5646
Cross-validation details (10-fold Crossvalidation)
KB relative information score
190.4151
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0356
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0837
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
0.9642
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9642
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.2628
Cross-validation details (10-fold Crossvalidation)
Recall
0.9642
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4249
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2027
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1842
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9088
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
940.5537