Run
65462

Run 65462

Task 3810 (Supervised Classification) arsenic-male-bladder Uploaded 21-11-2014 by Joaquin Vanschoren
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Flow

weka.Bagging_MultilayerPerceptron(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_MultilayerPerceptron(2)_I160
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
0.8954
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
1487.423
Cross-validation details (10-fold Crossvalidation)
Build memory
252841227.8784
Cross-validation details (10-fold Crossvalidation)
F measure
0.971
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6206
Cross-validation details (10-fold Crossvalidation)
KB relative information score
13.3535
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0409
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0837
Cross-validation details (10-fold Crossvalidation)
Number of instances
559
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9705
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9732
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.2628
Cross-validation details (10-fold Crossvalidation)
Recall
0.9732
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2027
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1515
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7476
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
938.76