Run
504026

Run 504026

Task 10059 (Learning Curve) ipums_la_99-small 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.

20 Evaluation measures

Area under ROC curve
0.5
Per class
KB relative information score
2146.8995 ± 0.2197
Mean absolute error
0.0642 ± 0.0005
Mean prior absolute error
0.1203 ± 0.0004
Number of instances
8844
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Predictive accuracy
0.9358 ± 0.0005
Prior entropy
0.3444
Recall
0.9358 ± 0.0005
Per class
Relative absolute error
0.5339 ± 0.0021
Root mean prior squared error
0.2452 ± 0.0008
Root mean squared error
0.2534 ± 0.0009
Root relative squared error
1.0337 ± 0.0003
SciMark benchmark
940.4723
UserCPU time millis
13680
UserCPU time millis testing
9220
UserCPU time millis training
4460