Run
1814982

Run 1814982

Task 125868 (Learning Curve) collins Uploaded 07-09-2016 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.Bagging_MultilayerPerceptron(3)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.MultilayerPerceptron(4)_L0.3
weka.MultilayerPerceptron(4)_M0.2
weka.MultilayerPerceptron(4)_N500
weka.MultilayerPerceptron(4)_V0
weka.MultilayerPerceptron(4)_S0
weka.MultilayerPerceptron(4)_E20
weka.MultilayerPerceptron(4)_H10
weka.Bagging_MultilayerPerceptron(3)_P100
weka.Bagging_MultilayerPerceptron(3)_S1
weka.Bagging_MultilayerPerceptron(3)_num-slots1
weka.Bagging_MultilayerPerceptron(3)_I10
weka.Bagging_MultilayerPerceptron(3)_Wweka.classifiers.functions.MultilayerPerceptron

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
1
Per class
F measure
1
Per class
Kappa
1
KB relative information score
491.5657 ± 0.5661
Mean absolute error
0.0042 ± 0.0003
Mean prior absolute error
0.1212 ± 0.0002
Number of instances
500
Per class
OS information
[Oracle Corporation, 1.8.0_91, amd64, Linux, 3.10.0-327.22.2.el7.x86_64]
Precision
1
Per class
Predictive accuracy
1
Prior entropy
3.6642
Recall
1
Per class
Relative absolute error
0.0343 ± 0.0027
Root mean prior squared error
0.246 ± 0.0005
Root mean squared error
0.0115 ± 0.0019
Root relative squared error
0.0469 ± 0.0076
SciMark benchmark
1558.4533
UserCPU time millis
28730
UserCPU time millis testing
40
UserCPU time millis training
28690