DEVELOPMENT... OpenML
Run
22449

Run 22449

Task 22 (Supervised Classification) mfeat-zernike Uploaded 21-06-2014 by Felicia West
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Flow

weka.Ridor(1)Weka implementation of Ridor
weka.Ridor(1)_F3
weka.Ridor(1)_N2.0
weka.Ridor(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
0.8336
Per class
F measure
0.7021
Per class
Kappa
0.6672
KB relative information score
1373.5913
Mean absolute error
0.0599
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
0.707
Per class
Predictive accuracy
0.7005
Prior entropy
3.3219
Recall
0.7005
Per class
Relative absolute error
0.3328
Root mean prior squared error
0.3
Root mean squared error
0.2447
Root relative squared error
0.8158
SciMark benchmark
943.5723[564.6619124438491012.0562417272014481.93081680843505909.90626928802961749.3060121829703]