Run
1815015

Run 1815015

Task 125880 (Learning Curve) autoUniv-au1-1000 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
0.6597 ± 0.085
Per class
F measure
0.7312 ± 0.0438
Per class
Kappa
0.2599 ± 0.124
KB relative information score
106.1032 ± 7.4209
Mean absolute error
0.3271 ± 0.0207
Mean prior absolute error
0.3841 ± 0.0015
Number of instances
1000
Per class
OS information
[Oracle Corporation, 1.7.0_101, amd64, Linux, 3.13.0-92-generic]
Precision
0.7308 ± 0.0565
Per class
Predictive accuracy
0.758 ± 0.0402
Prior entropy
0.826
Recall
0.758 ± 0.0402
Per class
Relative absolute error
0.8517 ± 0.0559
Root mean prior squared error
0.4381 ± 0.0017
Root mean squared error
0.4259 ± 0.0265
Root relative squared error
0.9721 ± 0.0619
SciMark benchmark
1313.427
UserCPU time millis
27310
UserCPU time millis testing
40
UserCPU time millis training
27270