Run
504910

Run 504910

Task 10049 (Learning Curve) delta_ailerons 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
0.9388 ± 0.0079
Per class
F measure
0.9401 ± 0.0078
Per class
Kappa
0.8797 ± 0.0157
KB relative information score
6272.3547 ± 11.2492
Mean absolute error
0.0598 ± 0.0078
Mean prior absolute error
0.4981 ± 0
Number of instances
7129
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9408 ± 0.0079
Per class
Predictive accuracy
0.9402 ± 0.0078
Prior entropy
0.9973
Recall
0.9402 ± 0.0078
Per class
Relative absolute error
0.12 ± 0.0157
Root mean prior squared error
0.4991 ± 0
Root mean squared error
0.2445 ± 0.0158
Root relative squared error
0.4898 ± 0.0317
SciMark benchmark
925.5951
UserCPU time millis
260
UserCPU time millis testing
10
UserCPU time millis training
250