Run
55600

Run 55600

Task 1764 (Learning Curve) electricity Uploaded 12-11-2014 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
Issue #Downvotes for this reason By


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
0.8782 ± 0.0064
Per class
Build CPU time
123.4598
Build memory
1231789259.96
F measure
0.7989 ± 0.0067
Per class
Kappa
0.5862 ± 0.0138
KB relative information score
0.4458 ± 0.0093
Mean absolute error
0.2846 ± 0.0045
Mean prior absolute error
0.4886 ± 0
Number of instances
45312
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8018 ± 0.0073
Per class
Predictive accuracy
0.8013 ± 0.0067
Prior entropy
0.9835 ± 0
Recall
0.8013 ± 0.0067
Per class
Relative absolute error
0.5825 ± 0.0092
Root mean prior squared error
0.4943 ± 0
Root mean squared error
0.3729 ± 0.0045
Root relative squared error
0.7544 ± 0.009
SciMark benchmark
1525.9265