Run
1814971

Run 1814971

Task 125851 (Learning Curve) isolet Uploaded 07-09-2016 by Jan van Rijn
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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
0.9984 ± 0.0009
Per class
F measure
0.9531 ± 0.0072
Per class
Kappa
0.9512 ± 0.0074
KB relative information score
7254.586 ± 7.2231
Mean absolute error
0.012 ± 0.0014
Mean prior absolute error
0.074 ± 0
Number of instances
7797
Per class
OS information
[Oracle Corporation, 1.7.0_101, amd64, Linux, 3.13.0-92-generic]
Precision
0.9539 ± 0.0071
Per class
Predictive accuracy
0.9531 ± 0.0071
Prior entropy
4.7004
Recall
0.9531 ± 0.0071
Per class
Relative absolute error
0.1626 ± 0.0188
Root mean prior squared error
0.1923 ± 0
Root mean squared error
0.0605 ± 0.0044
Root relative squared error
0.3147 ± 0.0229
SciMark benchmark
1227.0294
UserCPU time millis
5678760
UserCPU time millis testing
52090
UserCPU time millis training
5626670