Run
504906

Run 504906

Task 10042 (Learning Curve) ada_prior 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
0.6717 ± 0.0528
Per class
F measure
0.7948 ± 0.0308
Per class
Kappa
0.4141 ± 0.0953
KB relative information score
2083.7316 ± 22.81
Mean absolute error
0.1813 ± 0.0166
Mean prior absolute error
0.3732 ± 0.0004
Number of instances
4562
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8124 ± 0.019
Per class
Predictive accuracy
0.8187 ± 0.0166
Prior entropy
0.8085
Recall
0.8187 ± 0.0166
Per class
Relative absolute error
0.4858 ± 0.0447
Root mean prior squared error
0.4319 ± 0.0005
Root mean squared error
0.4258 ± 0.0194
Root relative squared error
0.9857 ± 0.0451
SciMark benchmark
914.23
UserCPU time millis
320
UserCPU time millis training
320