Run
993

Run 993

Task 96 (Learning Curve) diabetes Uploaded 08-04-2014 by Jan van Rijn
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Flow

weka.AdaBoostM1_DecisionStump(1)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_DecisionStump(1)_I10
weka.AdaBoostM1_DecisionStump(1)_P100
weka.AdaBoostM1_DecisionStump(1)_S1
weka.AdaBoostM1_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump

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
0.7984 ± 0.0529
Per class
F measure
0.7399 ± 0.0464
Per class
Kappa
0.4193 ± 0.1055
KB relative information score
0.3028 ± 0.0689
Mean absolute error
0.3194 ± 0.0275
Mean prior absolute error
0.4545 ± 0.0015
Number of instances
7680
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.7388 ± 0.0468
Per class
Predictive accuracy
0.7452 ± 0.0435
Prior entropy
0.9331 ± 0.0044
Recall
0.7452 ± 0.0435
Per class
Relative absolute error
0.7028 ± 0.0606
Root mean prior squared error
0.4766 ± 0.0015
Root mean squared error
0.4182 ± 0.0307
Root relative squared error
0.8775 ± 0.0646
SciMark benchmark
881.4022