Run
1815101

Run 1815101

Task 125885 (Learning Curve) one-hundred-plants-margin Uploaded 08-09-2016 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.

20 Evaluation measures

Area under ROC curve
0.9858 ± 0.0027
Per class
Kappa
0.6124 ± 0.0658
KB relative information score
758.3028 ± 8.2026
Mean absolute error
0.0175 ± 0.0005
Mean prior absolute error
0.0198
Number of instances
1600
Per class
OS information
[Oracle Corporation, 1.7.0_101, amd64, Linux, 3.13.0-92-generic]
Predictive accuracy
0.6163 ± 0.0652
Prior entropy
6.6439
Recall
0.6163 ± 0.0652
Per class
Relative absolute error
0.8854 ± 0.0276
Root mean prior squared error
0.0995 ± 0
Root mean squared error
0.0893 ± 0.0023
Root relative squared error
0.8971 ± 0.0234
SciMark benchmark
1276.3553
UserCPU time millis
482450
UserCPU time millis testing
480
UserCPU time millis training
481970