Run
1815757

Run 1815757

Task 125915 (Learning Curve) MiceProtein Uploaded 09-09-2016 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
0.9948 ± 0.0038
Per class
F measure
0.8711
Per class
Kappa
0.8555 ± 0.1926
KB relative information score
392.3545 ± 7.4533
Mean absolute error
0.1817 ± 0.0093
Mean prior absolute error
0.2185 ± 0
Number of instances
1080
Per class
OS information
[Oracle Corporation, 1.7.0_101, amd64, Linux, 3.13.0-92-generic]
Precision
0.8955
Per class
Predictive accuracy
0.8741 ± 0.1672
Prior entropy
2.9931
Recall
0.8741 ± 0.1672
Per class
Relative absolute error
0.8316 ± 0.0426
Root mean prior squared error
0.3305 ± 0.0001
Root mean squared error
0.2788 ± 0.0143
Root relative squared error
0.8437 ± 0.0434
SciMark benchmark
1259.9135
UserCPU time millis
1597190
UserCPU time millis testing
22010
UserCPU time millis training
1575180