Run
504015

Run 504015

Task 10054 (Learning Curve) jm1 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
0.5597 ± 0.0527
Per class
F measure
0.5689 ± 0.2019
Per class
Kappa
0.0718 ± 0.0904
KB relative information score
-8861.408 ± 780.8472
Mean absolute error
0.4797 ± 0.1899
Mean prior absolute error
0.3121 ± 0.0003
Number of instances
10885
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7263 ± 0.0358
Per class
Predictive accuracy
0.5204 ± 0.1901
Prior entropy
0.7088
Recall
0.5204 ± 0.1901
Per class
Relative absolute error
1.537 ± 0.6081
Root mean prior squared error
0.395 ± 0.0003
Root mean squared error
0.6924 ± 0.1392
Root relative squared error
1.7528 ± 0.352
SciMark benchmark
903.7858
UserCPU time millis
11700
UserCPU time millis testing
8530
UserCPU time millis training
3170