DEVELOPMENT... OpenML
Run
134708

Run 134708

Task 267 (Supervised Classification) diabetes Uploaded 28-12-2014 by Felicia West
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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)_I20
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
0.6537
Per class
Build CPU time
0.006
Build memory
1044743392
F measure
0.6822
Per class
Kappa
0.3103
KB relative information score
73.3068
Mean absolute error
0.3162
Mean prior absolute error
0.4589
Number of instances
253
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.681
Per class
Predictive accuracy
0.6838
Prior entropy
0.9335
Recall
0.6838
Per class
Relative absolute error
0.689
Root mean prior squared error
0.4813
Root mean squared error
0.5623
Root relative squared error
1.1684
SciMark benchmark
946.9091