DEVELOPMENT... OpenML
Run
116416

Run 116416

Task 267 (Supervised Classification) diabetes Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LADTree(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_LADTree(2)_I160
weka.AdaBoostM1_LADTree(2)_P100
weka.AdaBoostM1_LADTree(2)_S1
weka.AdaBoostM1_LADTree(2)_Wweka.classifiers.trees.LADTree
weka.LADTree(2)_B10

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
0.7703
Per class
Build CPU time
6.308
Build memory
665678232
F measure
0.7003
Per class
Kappa
0.3539
KB relative information score
84.8233
Mean absolute error
0.2957
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
0.701
Per class
Predictive accuracy
0.6996
Prior entropy
0.9335
Recall
0.6996
Per class
Relative absolute error
0.6443
Root mean prior squared error
0.4813
Root mean squared error
0.5308
Root relative squared error
1.103
SciMark benchmark
902.712