Run
1816096

Run 1816096

Task 125871 (Learning Curve) AP_Breast_Ovary Uploaded 11-09-2016 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
0.505 ± 0.1485
Per class
KB relative information score
3.0225 ± 0.8529
Mean absolute error
0.4608 ± 0.0065
Mean prior absolute error
0.4639 ± 0.002
Number of instances
542
Per class
OS information
[Oracle Corporation, 1.7.0_101, amd64, Linux, 3.13.0-92-generic]
Predictive accuracy
0.6347 ± 0.0076
Prior entropy
0.9474
Recall
0.6347 ± 0.0076
Per class
Relative absolute error
0.9933 ± 0.0126
Root mean prior squared error
0.4815 ± 0.0021
Root mean squared error
0.482 ± 0.0024
Root relative squared error
1.001 ± 0.0013
SciMark benchmark
1318.2533
UserCPU time millis
10959700
UserCPU time millis testing
779720
UserCPU time millis training
10179980