Run
504914

Run 504914

Task 10055 (Learning Curve) kc1 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
0.5539 ± 0.0455
Per class
F measure
0.807 ± 0.0213
Per class
Kappa
0.1579 ± 0.1164
KB relative information score
611.2399 ± 8.1795
Mean absolute error
0.1503 ± 0.0091
Mean prior absolute error
0.2616 ± 0.0016
Number of instances
2109
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8139 ± 0.0283
Per class
Predictive accuracy
0.8497 ± 0.0091
Prior entropy
0.622
Recall
0.8497 ± 0.0091
Per class
Relative absolute error
0.5746 ± 0.0332
Root mean prior squared error
0.3615 ± 0.0023
Root mean squared error
0.3877 ± 0.012
Root relative squared error
1.0725 ± 0.0307
SciMark benchmark
914.23
UserCPU time millis
110
UserCPU time millis training
110