DEVELOPMENT... OpenML
Run
164588

Run 164588

Task 37 (Supervised Classification) diabetes Uploaded 17-02-2015 by Felicia West
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Flow

weka.MultiBoostAB_DecisionStump(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(2)_C3
weka.MultiBoostAB_DecisionStump(2)_I160
weka.MultiBoostAB_DecisionStump(2)_P100
weka.MultiBoostAB_DecisionStump(2)_S1
weka.MultiBoostAB_DecisionStump(2)_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
0.8272
Per class
F measure
0.7527
Per class
Kappa
0.4479
KB relative information score
339.3605
Mean absolute error
0.2449
Mean prior absolute error
0.4545
Number of instances
768
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.752
Per class
Predictive accuracy
0.7578
Prior entropy
0.9335
Recall
0.7578
Per class
Relative absolute error
0.5389
Root mean prior squared error
0.4766
Root mean squared error
0.4475
Root relative squared error
0.9389
SciMark benchmark
922.9039
UserCPU time millis
280
UserCPU time millis testing
10
UserCPU time millis training
270