Run
66283

Run 66283

Task 3812 (Supervised Classification) arsenic-female-bladder Uploaded 29-11-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
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)_I80
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
0.8234
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
622.2265
Cross-validation details (10-fold Crossvalidation)
Build memory
777501729.8318
Cross-validation details (10-fold Crossvalidation)
F measure
0.8381
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3039
Cross-validation details (10-fold Crossvalidation)
KB relative information score
55.1141
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1723
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2462
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
0.8315
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8479
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5956
Cross-validation details (10-fold Crossvalidation)
Recall
0.8479
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7001
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3502
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3345
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9552
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
941.3226