DEVELOPMENT... OpenML
Run
6622

Run 6622

Task 36 (Supervised Classification) segment Uploaded 15-05-2014 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
0.9634
Per class
F measure
0.7786
Per class
Kappa
0.7636
KB relative information score
1813.6666
Mean absolute error
0.0585
Mean prior absolute error
0.2449
Number of instances
2310
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8129
Per class
Predictive accuracy
0.7974
Prior entropy
2.8074
Recall
0.7974
Per class
Relative absolute error
0.2389
Root mean prior squared error
0.3499
Root mean squared error
0.2316
Root relative squared error
0.6619
SciMark benchmark
948.2017[571.88218598998941015.7906865781697480.4214203123994914.03067367712611758.8835103978397]