Run
53957

Run 53957

Task 1721 (Learning Curve) mfeat-zernike Uploaded 08-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.Bagging_MultilayerPerceptron(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_MultilayerPerceptron(2)_I10
weka.Bagging_MultilayerPerceptron(2)_P100
weka.Bagging_MultilayerPerceptron(2)_S1
weka.Bagging_MultilayerPerceptron(2)_Wweka.classifiers.functions.MultilayerPerceptron
weka.Bagging_MultilayerPerceptron(2)_num-slots1
weka.MultilayerPerceptron(2)_E20
weka.MultilayerPerceptron(2)_Ha
weka.MultilayerPerceptron(2)_L0.3
weka.MultilayerPerceptron(2)_M0.2
weka.MultilayerPerceptron(2)_N500
weka.MultilayerPerceptron(2)_S0
weka.MultilayerPerceptron(2)_V0

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.

21 Evaluation measures

Area under ROC curve
0.9741 ± 0.0045
Per class
Build CPU time
103.8317
Build memory
2154659150.0364
F measure
0.8074 ± 0.0163
Per class
Kappa
0.7889 ± 0.0176
KB relative information score
0.8352 ± 0.0119
Mean absolute error
0.043 ± 0.0025
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8051 ± 0.0179
Per class
Predictive accuracy
0.81 ± 0.0158
Prior entropy
3.3219
Recall
0.81 ± 0.0158
Per class
Relative absolute error
0.2389 ± 0.0139
Root mean prior squared error
0.3
Root mean squared error
0.1563 ± 0.0051
Root relative squared error
0.521 ± 0.0171
SciMark benchmark
1462.4645