OpenML
14894

Run 14894

Task 59 (Supervised Classification) iris Uploaded 03-06-2014 by Joaquin Vanschoren
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Flow

weka.Bagging_MultilayerPerceptron(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_MultilayerPerceptron(1)_I20
weka.Bagging_MultilayerPerceptron(1)_P100
weka.Bagging_MultilayerPerceptron(1)_S1
weka.Bagging_MultilayerPerceptron(1)_Wweka.classifiers.functions.MultilayerPerceptron
weka.Bagging_MultilayerPerceptron(1)_num-slots1
weka.MultilayerPerceptron(1)_E20
weka.MultilayerPerceptron(1)_Ha
weka.MultilayerPerceptron(1)_L0.3
weka.MultilayerPerceptron(1)_M0.2
weka.MultilayerPerceptron(1)_N500
weka.MultilayerPerceptron(1)_S0
weka.MultilayerPerceptron(1)_V0

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.741
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.2743
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.02
Cross-validation details (10-fold Crossvalidation)
KB relative information score
22.3984
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4049
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_04, x86_64, Mac OS X, 10.9.3]
Precision
0.2346
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.3467
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.585
Cross-validation details (10-fold Crossvalidation)
Recall
0.3467
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9111
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4663
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9892
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1273.5018[907.98575561494491186.5485972905478545.18496503926621122.19168278084232605.5980189114316]