Run
141

Run 141

Task 91 (Learning Curve) pendigits Uploaded 07-04-2014 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
0.9826 ± 0.003
Per class
F measure
0.8994 ± 0.0096
Per class
Kappa
0.8898 ± 0.0103
KB relative information score
0.9034 ± 0.0085
Mean absolute error
0.0204 ± 0.0017
Mean prior absolute error
0.18 ± 0
Number of instances
109920
Per class
OS information
[ Oracle Corporation, 1.7.0_51, amd64, Linux, 3.7.10-1.28-desktop ]
Precision
0.9014 ± 0.0094
Per class
Predictive accuracy
0.9009 ± 0.0093
Prior entropy
3.3208 ± 0.0002
Recall
0.9009 ± 0.0093
Per class
Relative absolute error
0.1134 ± 0.0093
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.1313 ± 0.0061
Root relative squared error
0.4377 ± 0.0202
SciMark benchmark
1943.8617