Run
53913

Run 53913

Task 2098 (Learning Curve) abalone 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.

19 Evaluation measures

Area under ROC curve
0.7751 ± 0.0124
Per class
Build CPU time
72.3961
Build memory
525997373.7846
Kappa
0.1705 ± 0.0278
KB relative information score
0.2661 ± 0.0102
Mean absolute error
0.0553 ± 0.0004
Mean prior absolute error
0.0618 ± 0
Number of instances
4177
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.2705 ± 0.0241
Prior entropy
3.6031 ± 0.0188
Recall
0.2705 ± 0.0241
Per class
Relative absolute error
0.8944 ± 0.0058
Root mean prior squared error
0.1757 ± 0
Root mean squared error
0.1675 ± 0.0011
Root relative squared error
0.953 ± 0.0064
SciMark benchmark
1862.469