Run
504782

Run 504782

Task 10047 (Learning Curve) Bioresponse Uploaded 03-01-2016 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
0.7469 ± 0.0265
Per class
F measure
0.7499 ± 0.0263
Per class
Kappa
0.4954 ± 0.053
KB relative information score
1861.0398 ± 19.7378
Mean absolute error
0.2494 ± 0.0262
Mean prior absolute error
0.4964 ± 0.0001
Number of instances
3751
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7503 ± 0.0267
Per class
Predictive accuracy
0.7507 ± 0.0262
Prior entropy
0.9948
Recall
0.7507 ± 0.0262
Per class
Relative absolute error
0.5023 ± 0.0527
Root mean prior squared error
0.4982 ± 0.0001
Root mean squared error
0.4993 ± 0.0264
Root relative squared error
1.0021 ± 0.0529
SciMark benchmark
914.23
UserCPU time millis
48170
UserCPU time millis testing
32510
UserCPU time millis training
15660