Run
214348

Run 214348

Task 3562 (Supervised Classification) lupus Uploaded 28-02-2015 by Jan van Rijn
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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)_I10
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
0.761
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6925
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3545
Cross-validation details (10-fold Crossvalidation)
KB relative information score
28.6093
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.326
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4813
Cross-validation details (10-fold Crossvalidation)
Number of instances
87
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.6966
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7011
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9735
Cross-validation details (10-fold Crossvalidation)
Recall
0.7011
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6772
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4904
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4393
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8959
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1465.2979
UserCPU time millis training