DEVELOPMENT... OpenML
Run
6155

Run 6155

Task 14 (Supervised Classification) mfeat-fourier Uploaded 14-05-2014 by Felicia West
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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
0.9552
Per class
F measure
0.7599
Per class
Kappa
0.7322
KB relative information score
1546.7002
Mean absolute error
0.0483
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7664
Per class
Predictive accuracy
0.759
Prior entropy
3.3219
Recall
0.759
Per class
Relative absolute error
0.2681
Root mean prior squared error
0.3
Root mean squared error
0.1992
Root relative squared error
0.6638
SciMark benchmark
945.5327[556.90953288490741016.0585376856843483.23216931738307913.71210817040291757.7512505720342]