Run
504786

Run 504786

Task 10050 (Learning Curve) gina_agnostic 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
0.8481 ± 0.0139
Per class
F measure
0.8472 ± 0.0126
Per class
Kappa
0.6942 ± 0.0252
KB relative information score
2407.5789 ± 8.7707
Mean absolute error
0.1528 ± 0.0125
Mean prior absolute error
0.4999 ± 0
Number of instances
3468
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8472 ± 0.0129
Per class
Predictive accuracy
0.8472 ± 0.0126
Prior entropy
0.9998
Recall
0.8472 ± 0.0126
Per class
Relative absolute error
0.3057 ± 0.025
Root mean prior squared error
0.4999 ± 0
Root mean squared error
0.3908 ± 0.0162
Root relative squared error
0.7817 ± 0.0324
SciMark benchmark
914.23
UserCPU time millis
15970
UserCPU time millis testing
9870
UserCPU time millis training
6100