Run
1816072

Run 1816072

Task 125870 (Learning Curve) AP_Colon_Kidney Uploaded 10-09-2016 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
0.5032 ± 0.0512
Per class
F measure
0.4367
Per class
Kappa
0.0031
KB relative information score
-3.1116 ± 0.1624
Mean absolute error
0.5008 ± 0.001
Mean prior absolute error
0.4989 ± 0.0004
Number of instances
546
Per class
OS information
[Oracle Corporation, 1.8.0_91, amd64, Linux, 3.10.0-327.22.2.el7.x86_64]
Precision
0.5037
Per class
Predictive accuracy
0.4872 ± 0.0226
Prior entropy
0.9984
Recall
0.4872 ± 0.0226
Per class
Relative absolute error
1.004 ± 0.0021
Root mean prior squared error
0.4994 ± 0.0004
Root mean squared error
0.5015 ± 0.0016
Root relative squared error
1.0042 ± 0.0033
SciMark benchmark
1570.3335
UserCPU time millis
9070630
UserCPU time millis testing
701510
UserCPU time millis training
8369120