DEVELOPMENT... OpenML
Run
15339

Run 15339

Task 87 (Learning Curve) optdigits Uploaded 04-06-2014 by Mandy
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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
0.9641 ± 0.0064
Per class
F measure
0.8666 ± 0.0142
Per class
Kappa
0.8498 ± 0.0159
KB relative information score
0.8627 ± 0.0144
Mean absolute error
0.0274 ± 0.0027
Mean prior absolute error
0.18 ± 0
Number of instances
56200
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.8836 ± 0.0118
Per class
Predictive accuracy
0.8648 ± 0.0143
Prior entropy
3.3218 ± 0.0001
Recall
0.8648 ± 0.0143
Per class
Relative absolute error
0.1522 ± 0.0152
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.1593 ± 0.0086
Root relative squared error
0.5309 ± 0.0285
SciMark benchmark
879.0587