Run
504031

Run 504031

Task 10068 (Learning Curve) mc1 Uploaded 30-12-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.4991 ± 0.0019
Per class
F measure
0.9884 ± 0.0015
Per class
Kappa
-0.0027 ± 0.0033
KB relative information score
-246.2164 ± 400.2692
Mean absolute error
0.0089 ± 0.0038
Mean prior absolute error
0.0144 ± 0.0004
Number of instances
9466
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9857 ± 0
Per class
Predictive accuracy
0.9911 ± 0.0038
Prior entropy
0.0622
Recall
0.9911 ± 0.0038
Per class
Relative absolute error
0.6177 ± 0.2582
Root mean prior squared error
0.0845 ± 0.0027
Root mean squared error
0.0942 ± 0.018
Root relative squared error
1.1155 ± 0.2004
SciMark benchmark
940.4723
UserCPU time millis
2750
UserCPU time millis testing
2030
UserCPU time millis training
720