Run
1814985

Run 1814985

Task 10047 (Learning Curve) Bioresponse Uploaded 07-09-2016 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
0.6252 ± 0.1241
Per class
F measure
0.5876 ± 0.1734
Per class
Kappa
0.1843 ± 0.2309
KB relative information score
113.0174 ± 16.3766
Mean absolute error
0.4853 ± 0.0161
Mean prior absolute error
0.4964 ± 0.0001
Number of instances
3751
Per class
OS information
[Oracle Corporation, 1.7.0_101, amd64, Linux, 3.13.0-92-generic]
Precision
0.6095 ± 0.1539
Per class
Predictive accuracy
0.6073 ± 0.1082
Prior entropy
0.9948
Recall
0.6073 ± 0.1082
Per class
Relative absolute error
0.9776 ± 0.0324
Root mean prior squared error
0.4982 ± 0.0001
Root mean squared error
0.4892 ± 0.0152
Root relative squared error
0.9819 ± 0.0305
SciMark benchmark
1306.9946
UserCPU time millis
9050160
UserCPU time millis testing
148290
UserCPU time millis training
8901870