OpenML
25491

Run 25491

Task 59 (Supervised Classification) iris Uploaded 18-08-2014 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)_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
0.9977
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.8377
Cross-validation details (10-fold Crossvalidation)
Build memory
278156224
Cross-validation details (10-fold Crossvalidation)
F measure
0.9733
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.96
Cross-validation details (10-fold Crossvalidation)
KB relative information score
140.0135
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0382
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4444
Cross-validation details (10-fold Crossvalidation)
Number of instances
150
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_55, x86_64, Mac OS X, 10.9.4]
Precision
0.9733
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9733
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.585
Cross-validation details (10-fold Crossvalidation)
Recall
0.9733
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.086
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1236
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2622
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1464.3958[981.84106563973681155.2488176445806614.79634389862711235.9452788075343334.1473108528967]