Run
504897

Run 504897

Task 1702 (Learning Curve) kr-vs-kp Uploaded 03-01-2016 by Joaquin Vanschoren
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Flow

weka.Ridor(4)Weka implementation of Ridor
weka.Ridor(4)_F3
weka.Ridor(4)_S1
weka.Ridor(4)_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
0.8823 ± 0.023
Per class
F measure
0.8801 ± 0.0215
Per class
Kappa
0.761 ± 0.0427
KB relative information score
2427.8109 ± 13.1048
Mean absolute error
0.1198 ± 0.0209
Mean prior absolute error
0.499 ± 0.0001
Number of instances
3196
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8851 ± 0.0211
Per class
Predictive accuracy
0.8802 ± 0.0209
Prior entropy
0.9986
Recall
0.8802 ± 0.0209
Per class
Relative absolute error
0.2401 ± 0.0419
Root mean prior squared error
0.4995 ± 0.0001
Root mean squared error
0.3462 ± 0.0306
Root relative squared error
0.693 ± 0.0612
SciMark benchmark
869.4058
UserCPU time millis
370
UserCPU time millis training
370