Run
504939

Run 504939

Task 10088 (Learning Curve) vehicleNorm Uploaded 04-01-2016 by Joaquin Vanschoren
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Flow

weka.VotedPerceptron(5)Y. Freund, R. E. Schapire: Large margin classification using the perceptron algorithm. In: 11th Annual Conference on Computational Learning Theory, New York, NY, 209-217, 1998.
weka.VotedPerceptron(5)_I1
weka.VotedPerceptron(5)_E1.0
weka.VotedPerceptron(5)_S1
weka.VotedPerceptron(5)_M10000

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
0.8588 ± 0.0024
Per class
F measure
0.8584 ± 0.0025
Per class
Kappa
0.7175 ± 0.0048
KB relative information score
70695.5601 ± 47.6507
Mean absolute error
0.1412 ± 0.0024
Mean prior absolute error
0.5
Number of instances
98528
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8628 ± 0.0022
Per class
Predictive accuracy
0.8588 ± 0.0024
Prior entropy
1
Recall
0.8588 ± 0.0024
Per class
Relative absolute error
0.2825 ± 0.0048
Root mean prior squared error
0.5
Root mean squared error
0.3758 ± 0.0032
Root relative squared error
0.7516 ± 0.0065
SciMark benchmark
945.0828
UserCPU time millis
1272630
UserCPU time millis testing
1024560
UserCPU time millis training
248070