Run
504900

Run 504900

Task 1728 (Learning Curve) credit-approval 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
0.8279 ± 0.0583
Per class
F measure
0.8326 ± 0.059
Per class
Kappa
0.6603 ± 0.117
KB relative information score
455.9108 ± 8.0263
Mean absolute error
0.1667 ± 0.0569
Mean prior absolute error
0.494 ± 0.0008
Number of instances
690
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8335 ± 0.0515
Per class
Predictive accuracy
0.8333 ± 0.0569
Prior entropy
0.9913
Recall
0.8333 ± 0.0569
Per class
Relative absolute error
0.3374 ± 0.1153
Root mean prior squared error
0.497 ± 0.0008
Root mean squared error
0.4082 ± 0.0694
Root relative squared error
0.8215 ± 0.1402
SciMark benchmark
869.4058
UserCPU time millis
10
UserCPU time millis training
10