Run
1816168

Run 1816168

Task 10045 (Learning Curve) AP_Breast_Colon Uploaded 16-09-2016 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
0.4986 ± 0.0105
Per class
F measure
0.4964
Per class
Kappa
-0.0053
KB relative information score
-2.306 ± 0.877
Mean absolute error
0.4967 ± 0.005
Mean prior absolute error
0.4958 ± 0.0008
Number of instances
630
Per class
OS information
[Oracle Corporation, 1.7.0_101, amd64, Linux, 3.13.0-92-generic]
Precision
0.5013
Per class
Predictive accuracy
0.5159 ± 0.0463
Prior entropy
0.9939
Recall
0.5159 ± 0.0463
Per class
Relative absolute error
1.0019 ± 0.0102
Root mean prior squared error
0.4979 ± 0.0008
Root mean squared error
0.5009 ± 0.0023
Root relative squared error
1.0061 ± 0.0045
SciMark benchmark
1351.0295
UserCPU time millis
12667720
UserCPU time millis testing
909920
UserCPU time millis training
11757800