Run
65125

Run 65125

Task 2124 (Supervised Classification) braziltourism Uploaded 19-11-2014 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)_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
0.6932
Per class
Cross-validation details (33% Holdout set)
Build CPU time
348.209
Cross-validation details (33% Holdout set)
Build memory
77559624
Cross-validation details (33% Holdout set)
F measure
0.7048
Per class
Cross-validation details (33% Holdout set)
Kappa
0.1595
Cross-validation details (33% Holdout set)
KB relative information score
11.2707
Cross-validation details (33% Holdout set)
Mean absolute error
0.0959
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.1103
Cross-validation details (33% Holdout set)
Number of instances
135
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6938
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.7481
Cross-validation details (33% Holdout set)
Prior entropy
1.1781
Cross-validation details (33% Holdout set)
Recall
0.7481
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.8693
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.2325
Cross-validation details (33% Holdout set)
Root mean squared error
0.2318
Cross-validation details (33% Holdout set)
Root relative squared error
0.9971
Cross-validation details (33% Holdout set)
SciMark benchmark
940.9741