Run
55575

Run 55575

Task 1731 (Learning Curve) pendigits Uploaded 11-11-2014 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
0.9698 ± 0.0031
Per class
Build CPU time
108.3164
Build memory
1492799954.6
F measure
0.9479 ± 0.0058
Per class
Kappa
0.9465 ± 0.0057
KB relative information score
0.9437 ± 0.0041
Mean absolute error
0.0126 ± 0.0008
Mean prior absolute error
0.18 ± 0
Number of instances
10992
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9554 ± 0.0049
Per class
Predictive accuracy
0.9519 ± 0.0052
Prior entropy
3.3208 ± 0.0002
Recall
0.9519 ± 0.0052
Per class
Relative absolute error
0.07 ± 0.0046
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.0825 ± 0.0038
Root relative squared error
0.275 ± 0.0126
SciMark benchmark
1564.956