Run
54602

Run 54602

Task 1752 (Learning Curve) vehicle Uploaded 09-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.MultilayerPerceptron(2)Weka implementation of MultilayerPerceptron
weka.MultilayerPerceptron(2)_E20
weka.MultilayerPerceptron(2)_Ha
weka.MultilayerPerceptron(2)_L0.3
weka.MultilayerPerceptron(2)_M0.2
weka.MultilayerPerceptron(2)_N500
weka.MultilayerPerceptron(2)_S0
weka.MultilayerPerceptron(2)_V0

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.

21 Evaluation measures

Area under ROC curve
0.9435 ± 0.0197
Per class
Build CPU time
0.8985
Build memory
654360109.2444
F measure
0.8112 ± 0.0399
Per class
Kappa
0.7493 ± 0.0505
KB relative information score
0.7613 ± 0.032
Mean absolute error
0.107 ± 0.0139
Mean prior absolute error
0.3748 ± 0
Number of instances
846
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8122 ± 0.0383
Per class
Predictive accuracy
0.8121 ± 0.0378
Prior entropy
1.9991 ± 0.0005
Recall
0.8121 ± 0.0378
Per class
Relative absolute error
0.2855 ± 0.037
Root mean prior squared error
0.4329 ± 0
Root mean squared error
0.2685 ± 0.0195
Root relative squared error
0.6202 ± 0.045
SciMark benchmark
1634.4504