Run
134160

Run 134160

Task 1801 (Supervised Classification) diabetes Uploaded 28-12-2014 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_RandomTree(2)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_RandomTree(2)_I10
weka.AdaBoostM1_RandomTree(2)_P100
weka.AdaBoostM1_RandomTree(2)_S1
weka.AdaBoostM1_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001

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.

21 Evaluation measures

Area under ROC curve
0.6645
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Build CPU time
0.0036
Cross-validation details (5 times 2-fold Crossvalidation)
Build memory
391970595.2
Cross-validation details (5 times 2-fold Crossvalidation)
F measure
0.694
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Kappa
0.3279
Cross-validation details (5 times 2-fold Crossvalidation)
KB relative information score
1143.707
Cross-validation details (5 times 2-fold Crossvalidation)
Mean absolute error
0.3065
Cross-validation details (5 times 2-fold Crossvalidation)
Mean prior absolute error
0.4545
Cross-validation details (5 times 2-fold Crossvalidation)
Number of instances
3840
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6946
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Predictive accuracy
0.6935
Cross-validation details (5 times 2-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (5 times 2-fold Crossvalidation)
Recall
0.6935
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Relative absolute error
0.6744
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean squared error
0.5536
Cross-validation details (5 times 2-fold Crossvalidation)
Root relative squared error
1.1615
Cross-validation details (5 times 2-fold Crossvalidation)
SciMark benchmark
946.9091