DEVELOPMENT... OpenML
Run
20452

Run 20452

Task 37 (Supervised Classification) diabetes Uploaded 18-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_LWL_DecisionStump(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.LWL_DecisionStump(1)_Atrue
weka.LWL_DecisionStump(1)_K-1
weka.LWL_DecisionStump(1)_U0
weka.LWL_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump
weka.MultiBoostAB_LWL_DecisionStump(1)_C3
weka.MultiBoostAB_LWL_DecisionStump(1)_I10
weka.MultiBoostAB_LWL_DecisionStump(1)_P100
weka.MultiBoostAB_LWL_DecisionStump(1)_S1
weka.MultiBoostAB_LWL_DecisionStump(1)_Wweka.classifiers.lazy.LWL

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.7974
Per class
F measure
0.7417
Per class
Kappa
0.42
KB relative information score
319.0493
Mean absolute error
0.2579
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
0.7442
Per class
Predictive accuracy
0.7513
Prior entropy
0.9335
Recall
0.7513
Per class
Relative absolute error
0.5674
Root mean prior squared error
0.4766
Root mean squared error
0.4609
Root relative squared error
0.967
SciMark benchmark
942.7144[559.23073532101811014.9881711071126483.667533998868905.81899363791421749.866600582726]