Run
504032

Run 504032

Task 10069 (Learning Curve) mozilla4 Uploaded 30-12-2015 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
0.8822 ± 0.0097
Per class
F measure
0.8986 ± 0.007
Per class
Kappa
0.7695 ± 0.0163
KB relative information score
11794.8242 ± 25.0716
Mean absolute error
0.1011 ± 0.0069
Mean prior absolute error
0.4412 ± 0.0001
Number of instances
15545
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8984 ± 0.0072
Per class
Predictive accuracy
0.8989 ± 0.0068
Prior entropy
0.9135
Recall
0.8989 ± 0.0068
Per class
Relative absolute error
0.2291 ± 0.0155
Root mean prior squared error
0.4697 ± 0.0001
Root mean squared error
0.3179 ± 0.0109
Root relative squared error
0.6768 ± 0.0232
SciMark benchmark
903.7858
UserCPU time millis
4050
UserCPU time millis testing
2820
UserCPU time millis training
1230