Run
502817

Run 502817

Task 1748 (Learning Curve) tic-tac-toe Uploaded 22-12-2015 by Jan van Rijn
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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
0.8254 ± 0.0506
Per class
F measure
0.8526 ± 0.0424
Per class
Kappa
0.6678 ± 0.0947
KB relative information score
645.0365 ± 8.7701
Mean absolute error
0.142 ± 0.0407
Mean prior absolute error
0.453 ± 0.0013
Number of instances
958
Per class
OS information
[Oracle Corporation, 1.7.0_79, amd64, Linux, 3.13.0-71-generic]
Precision
0.8615 ± 0.0425
Per class
Predictive accuracy
0.858 ± 0.0402
Prior entropy
0.9312
Recall
0.858 ± 0.0402
Per class
Relative absolute error
0.3134 ± 0.0893
Root mean prior squared error
0.4759 ± 0.0014
Root mean squared error
0.3759 ± 0.0527
Root relative squared error
0.7898 ± 0.1098
SciMark benchmark
1849.5947
UserCPU time millis
20
UserCPU time millis testing
10
UserCPU time millis training
10