Run
760

Run 760

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

weka.HoeffdingTree(1)Geoff Hulten, Laurie Spencer, Pedro Domingos: Mining time-changing data streams. In: ACM SIGKDD Intl. Conf. on Knowledge Discovery and Data Mining, 97-106, 2001.
weka.HoeffdingTree(1)_E1.0E-7
weka.HoeffdingTree(1)_G200.0
weka.HoeffdingTree(1)_H0.05
weka.HoeffdingTree(1)_L2
weka.HoeffdingTree(1)_M0.01
weka.HoeffdingTree(1)_N0.0
weka.HoeffdingTree(1)_S1

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
0.8133 ± 0.0529
Per class
F measure
0.753 ± 0.0472
Per class
Kappa
0.4509 ± 0.1062
KB relative information score
0.3654 ± 0.084
Mean absolute error
0.2869 ± 0.0343
Mean prior absolute error
0.4545 ± 0.0015
Number of instances
7680
Per class
OS information
[ Sun Microsystems Inc., 1.6.0_30, amd64, Linux, 2.6.32-358.6.2.el6.x86_64 ]
Precision
0.7517 ± 0.0496
Per class
Predictive accuracy
0.7561 ± 0.0461
Prior entropy
0.9331 ± 0.0044
Recall
0.7561 ± 0.0461
Per class
Relative absolute error
0.6313 ± 0.0758
Root mean prior squared error
0.4766 ± 0.0015
Root mean squared error
0.4222 ± 0.039
Root relative squared error
0.8857 ± 0.082
SciMark benchmark
826.8902