Run
151497

Run 151497

Task 3656 (Supervised Classification) diabetes_numeric Uploaded 09-02-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(1)Weka implementation of IterativeClassifierOptimizer
weka.LogitBoost_DecisionStump(2)_E1
weka.LogitBoost_DecisionStump(2)_H1.0
weka.LogitBoost_DecisionStump(2)_I10
weka.LogitBoost_DecisionStump(2)_L-1.7976931348623157E308
weka.LogitBoost_DecisionStump(2)_O1
weka.LogitBoost_DecisionStump(2)_P100
weka.LogitBoost_DecisionStump(2)_S1
weka.LogitBoost_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump
weka.LogitBoost_DecisionStump(2)_Z3.0
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(1)_L50
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(1)_P1
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(1)_E1
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(1)_I1
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(1)_F10
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(1)_R1
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(1)_Wweka.classifiers.meta.LogitBoost
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(1)_metricRMSE
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(1)_S1

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
0.629
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6164
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1887
Cross-validation details (10-fold Crossvalidation)
KB relative information score
8.3069
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3911
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4791
Cross-validation details (10-fold Crossvalidation)
Number of instances
43
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
0.616
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6279
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.971
Cross-validation details (10-fold Crossvalidation)
Recall
0.6279
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8164
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4889
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4676
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9564
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
911.0478
UserCPU time millis
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
10
Cross-validation details (10-fold Crossvalidation)