DEVELOPMENT... OpenML
Run
173139

Run 173139

Task 4650 (Supervised Classification) KDDCup09_appetency Uploaded 21-02-2015 by Jason
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Flow

weka.Ridor(3)Weka implementation of Ridor
weka.Ridor(3)_F3
weka.Ridor(3)_S1
weka.Ridor(3)_N2.0

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.5001
Per class
F measure
0.9734
Per class
Kappa
0.0005
KB relative information score
95819.7182
Mean absolute error
0.0179
Mean prior absolute error
0.035
Number of instances
500000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9664
Per class
Predictive accuracy
0.9822
Prior entropy
0.129
Recall
0.9822
Per class
Relative absolute error
0.5102
Root mean prior squared error
0.1322
Root mean squared error
0.1336
Root relative squared error
1.0104
SciMark benchmark
1465.2979
UserCPU time millis
57230
UserCPU time millis testing
50
UserCPU time millis training
57180