Run
504783

Run 504783

Task 10048 (Learning Curve) cal_housing 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
0.6883 ± 0.0105
Per class
F measure
0.7027 ± 0.0103
Per class
Kappa
0.3804 ± 0.0212
KB relative information score
7823.5839 ± 45.0802
Mean absolute error
0.2949 ± 0.0104
Mean prior absolute error
0.4824 ± 0
Number of instances
20640
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7021 ± 0.0105
Per class
Predictive accuracy
0.7051 ± 0.0104
Prior entropy
0.9745
Recall
0.7051 ± 0.0104
Per class
Relative absolute error
0.6114 ± 0.0215
Root mean prior squared error
0.4911 ± 0
Root mean squared error
0.543 ± 0.0095
Root relative squared error
1.1057 ± 0.0193
SciMark benchmark
914.23
UserCPU time millis
20540
UserCPU time millis testing
14050
UserCPU time millis training
6490