Run
504024

Run 504024

Task 10056 (Learning Curve) kdd_internet_usage 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
0.8513 ± 0.0185
Per class
F measure
0.8896 ± 0.0117
Per class
Kappa
0.7163 ± 0.031
KB relative information score
7020.5086 ± 32.1875
Mean absolute error
0.1092 ± 0.0113
Mean prior absolute error
0.3929 ± 0.0002
Number of instances
10108
Per class
OS information
[Oracle Corporation, 1.8.0_65, amd64, Linux, 2.6.32-573.8.1.el6.x86_64]
Precision
0.8891 ± 0.0115
Per class
Predictive accuracy
0.8908 ± 0.0113
Prior entropy
0.8395
Recall
0.8908 ± 0.0113
Per class
Relative absolute error
0.2779 ± 0.0288
Root mean prior squared error
0.4432 ± 0.0002
Root mean squared error
0.3304 ± 0.0169
Root relative squared error
0.7455 ± 0.0383
SciMark benchmark
1154.5084
UserCPU time millis
42780
UserCPU time millis testing
28790
UserCPU time millis training
13990