Run
504302

Run 504302

Task 10047 (Learning Curve) Bioresponse Uploaded 30-12-2015 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
0.7147 ± 0.0278
Per class
F measure
0.7184 ± 0.0315
Per class
Kappa
0.4319 ± 0.0549
KB relative information score
1625.1589 ± 20.5422
Mean absolute error
0.2805 ± 0.0272
Mean prior absolute error
0.4964 ± 0.0001
Number of instances
3751
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7189 ± 0.0241
Per class
Predictive accuracy
0.7195 ± 0.0272
Prior entropy
0.9948
Recall
0.7195 ± 0.0272
Per class
Relative absolute error
0.5649 ± 0.0548
Root mean prior squared error
0.4982 ± 0.0001
Root mean squared error
0.5296 ± 0.0256
Root relative squared error
1.063 ± 0.0513
SciMark benchmark
939.6055
UserCPU time millis
39570
UserCPU time millis testing
20
UserCPU time millis training
39550