Run
1815012

Run 1815012

Task 125859 (Learning Curve) oh0.wc Uploaded 08-09-2016 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.

20 Evaluation measures

Area under ROC curve
0.5096 ± 0.0749
Per class
Kappa
0.0021 ± 0.0038
KB relative information score
10.7799 ± 0.2229
Mean absolute error
0.1752 ± 0.0002
Mean prior absolute error
0.1749 ± 0.0002
Number of instances
1003
Per class
OS information
[Oracle Corporation, 1.7.0_101, amd64, Linux, 3.13.0-92-generic]
Predictive accuracy
0.1874 ± 0.0086
Prior entropy
3.1535
Recall
0.1874 ± 0.0086
Per class
Relative absolute error
1.0015 ± 0.0012
Root mean prior squared error
0.2957 ± 0.0003
Root mean squared error
0.2958 ± 0.0003
Root relative squared error
1.0004 ± 0.0003
SciMark benchmark
1293.2747
UserCPU time millis
7744130
UserCPU time millis testing
217580
UserCPU time millis training
7526550