DEVELOPMENT... OpenML
Run
18346

Run 18346

Task 37 (Supervised Classification) diabetes Uploaded 10-06-2014 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)_I160
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
0.8128
Per class
F measure
0.7647
Per class
Kappa
0.4763
KB relative information score
352.1357
Mean absolute error
0.2374
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
0.7637
Per class
Predictive accuracy
0.7682
Prior entropy
0.9335
Recall
0.7682
Per class
Relative absolute error
0.5223
Root mean prior squared error
0.4766
Root mean squared error
0.4631
Root relative squared error
0.9715
SciMark benchmark
944.8573[560.12868580782781013.9200573100866482.58056402979616907.07263143401181760.5845701777503]