Run
53965

Run 53965

Task 1730 (Learning Curve) credit-g Uploaded 08-11-2014 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
0.782 ± 0.0368
Per class
Build CPU time
45.2533
Build memory
6343161448.0889
F measure
0.7467 ± 0.0334
Per class
Kappa
0.3838 ± 0.084
KB relative information score
0.2956 ± 0.0362
Mean absolute error
0.2852 ± 0.012
Mean prior absolute error
0.4202
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.744 ± 0.0344
Per class
Predictive accuracy
0.754 ± 0.0313
Prior entropy
0.8813
Recall
0.754 ± 0.0313
Per class
Relative absolute error
0.6787 ± 0.0286
Root mean prior squared error
0.4583
Root mean squared error
0.4174 ± 0.0252
Root relative squared error
0.9109 ± 0.0549
SciMark benchmark
1638.2006