Run
1815001

Run 1815001

Task 125875 (Learning Curve) autoUniv-au7-500 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
0.6801 ± 0.06
Per class
F measure
0.4117 ± 0.0772
Per class
Kappa
0.2238 ± 0.1118
KB relative information score
109.3362 ± 2.6396
Mean absolute error
0.2591 ± 0.0159
Mean prior absolute error
0.2996 ± 0.001
Number of instances
500
Per class
OS information
[Oracle Corporation, 1.7.0_101, amd64, Linux, 3.13.0-92-generic]
Precision
0.4005 ± 0.085
Per class
Predictive accuracy
0.448 ± 0.0828
Prior entropy
2.1516
Recall
0.448 ± 0.0828
Per class
Relative absolute error
0.8646 ± 0.0532
Root mean prior squared error
0.3869 ± 0.0012
Root mean squared error
0.382 ± 0.0195
Root relative squared error
0.9872 ± 0.0512
SciMark benchmark
1291.5369
UserCPU time millis
18990
UserCPU time millis testing
20
UserCPU time millis training
18970