Run
504903

Run 504903

Task 1742 (Learning Curve) spambase 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
0.9154 ± 0.0165
Per class
F measure
0.9194 ± 0.0148
Per class
Kappa
0.8311 ± 0.031
KB relative information score
3808.4526 ± 14.9395
Mean absolute error
0.0806 ± 0.0148
Mean prior absolute error
0.4776 ± 0.0002
Number of instances
4601
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9193 ± 0.0138
Per class
Predictive accuracy
0.9194 ± 0.0148
Prior entropy
0.9674
Recall
0.9194 ± 0.0148
Per class
Relative absolute error
0.1688 ± 0.0311
Root mean prior squared error
0.4886 ± 0.0002
Root mean squared error
0.284 ± 0.0274
Root relative squared error
0.5811 ± 0.0562
SciMark benchmark
869.4058
UserCPU time millis
1460
UserCPU time millis training
1460