Run
1815017

Run 1815017

Task 125884 (Learning Curve) phoneme 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.

22 Evaluation measures

Area under ROC curve
0.925 ± 0.0104
Per class
F measure
0.8613 ± 0.0111
Per class
Kappa
0.6652 ± 0.027
KB relative information score
2853.7092 ± 9.0737
Mean absolute error
0.1949 ± 0.0057
Mean prior absolute error
0.4147 ± 0.0004
Number of instances
5404
Per class
OS information
[Oracle Corporation, 1.7.0_101, amd64, Linux, 3.13.0-92-generic]
Precision
0.8612 ± 0.0109
Per class
Predictive accuracy
0.8614 ± 0.0113
Prior entropy
0.8733
Recall
0.8614 ± 0.0113
Per class
Relative absolute error
0.4699 ± 0.0139
Root mean prior squared error
0.4554 ± 0.0004
Root mean squared error
0.3127 ± 0.0089
Root relative squared error
0.6868 ± 0.0199
SciMark benchmark
1287.4467
UserCPU time millis
74990
UserCPU time millis testing
130
UserCPU time millis training
74860