Run
504901

Run 504901

Task 1730 (Learning Curve) credit-g 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
0.555 ± 0.0366
Per class
F measure
0.6502 ± 0.0379
Per class
Kappa
0.1308 ± 0.0838
KB relative information score
215.9334 ± 9.9973
Mean absolute error
0.307 ± 0.0392
Mean prior absolute error
0.4202
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6508 ± 0.0442
Per class
Predictive accuracy
0.693 ± 0.0392
Prior entropy
0.8818
Recall
0.693 ± 0.0392
Per class
Relative absolute error
0.7307 ± 0.0932
Root mean prior squared error
0.4583
Root mean squared error
0.5541 ± 0.0343
Root relative squared error
1.2091 ± 0.0749
SciMark benchmark
869.4058
UserCPU time millis
50
UserCPU time millis testing
10
UserCPU time millis training
40