DEVELOPMENT... OpenML
Run
162397

Run 162397

Task 37 (Supervised Classification) diabetes Uploaded 16-02-2015 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)_I20
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
0.8126
Per class
F measure
0.7403
Per class
Kappa
0.423
KB relative information score
316.435
Mean absolute error
0.2586
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
0.7389
Per class
Predictive accuracy
0.7435
Prior entropy
0.9335
Recall
0.7435
Per class
Relative absolute error
0.5689
Root mean prior squared error
0.4766
Root mean squared error
0.4598
Root relative squared error
0.9646
SciMark benchmark
939.7623
UserCPU time millis
30
UserCPU time millis training
30