Run
256498

Run 256498

Task 3810 (Supervised Classification) arsenic-male-bladder Uploaded 05-03-2015 by Joaquin Vanschoren
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Flow

weka.LogitBoost_DecisionStump(3)J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
weka.LogitBoost_DecisionStump(3)_P100
weka.LogitBoost_DecisionStump(3)_L-1.7976931348623157E308
weka.LogitBoost_DecisionStump(3)_H1.0
weka.LogitBoost_DecisionStump(3)_Z3.0
weka.LogitBoost_DecisionStump(3)_O1
weka.LogitBoost_DecisionStump(3)_E1
weka.LogitBoost_DecisionStump(3)_S1
weka.LogitBoost_DecisionStump(3)_I40
weka.LogitBoost_DecisionStump(3)_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
0.9126
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9739
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6689
Cross-validation details (10-fold Crossvalidation)
KB relative information score
126.4766
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0365
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
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9733
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.975
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.2628
Cross-validation details (10-fold Crossvalidation)
Recall
0.975
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4366
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2027
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1462
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.721
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1329.8902
UserCPU time millis
20
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
20
Cross-validation details (10-fold Crossvalidation)