Run
205863

Run 205863

Task 4361 (Supervised Classification) diabetes_numeric 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)_I20
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
0.6925
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.6538
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.2727
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
105.2813
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.3585
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4791
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
430
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
0.6526
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.6558
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.971
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.6558
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.7483
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4889
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4997
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
1.022
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1304.6687
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)