Run
504769

Run 504769

Task 1702 (Learning Curve) kr-vs-kp 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
0.9472 ± 0.0148
Per class
F measure
0.9468 ± 0.0144
Per class
Kappa
0.8934 ± 0.0288
KB relative information score
2855.0371 ± 9.171
Mean absolute error
0.0532 ± 0.0144
Mean prior absolute error
0.499 ± 0.0001
Number of instances
3196
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9468 ± 0.0142
Per class
Predictive accuracy
0.9468 ± 0.0144
Prior entropy
0.9986
Recall
0.9468 ± 0.0144
Per class
Relative absolute error
0.1066 ± 0.0288
Root mean prior squared error
0.4995 ± 0.0001
Root mean squared error
0.2306 ± 0.0325
Root relative squared error
0.4617 ± 0.065
SciMark benchmark
925.5951
UserCPU time millis
460
UserCPU time millis testing
310
UserCPU time millis training
150