Run
204673

Run 204673

Task 4517 (Supervised Classification) arsenic-female-bladder Uploaded 27-02-2015 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_DecisionStump(12)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_DecisionStump(12)_P100
weka.AdaBoostM1_DecisionStump(12)_S1
weka.AdaBoostM1_DecisionStump(12)_I10
weka.AdaBoostM1_DecisionStump(12)_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.

22 Evaluation measures

Area under ROC curve
0.7759
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.8264
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.1799
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
-18.4677
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.1958
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.2462
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
5590
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8651
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.8705
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.5956
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.8705
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.7954
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.3502
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.3186
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.9097
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1333.5799
UserCPU time millis
10
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
10
Cross-validation details (10 times 10-fold Crossvalidation)