DEVELOPMENT... OpenML
Run
162019

Run 162019

Task 3656 (Supervised Classification) diabetes_numeric 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)_I10
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
0.6629
Per class
F measure
0.646
Per class
Kappa
0.2586
KB relative information score
12.8534
Mean absolute error
0.3337
Mean prior absolute error
0.4791
Number of instances
43
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6726
Per class
Predictive accuracy
0.6744
Prior entropy
0.971
Recall
0.6744
Per class
Relative absolute error
0.6965
Root mean prior squared error
0.4889
Root mean squared error
0.5217
Root relative squared error
1.0671
SciMark benchmark
938.9865