Run
170445

Run 170445

Task 59 (Supervised Classification) iris Uploaded 20-02-2015 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_MultilayerPerceptron(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
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
weka.MultiBoostAB_MultilayerPerceptron(2)_C3
weka.MultiBoostAB_MultilayerPerceptron(2)_P100
weka.MultiBoostAB_MultilayerPerceptron(2)_S1
weka.MultiBoostAB_MultilayerPerceptron(2)_I10
weka.MultiBoostAB_MultilayerPerceptron(2)_Wweka.classifiers.functions.MultilayerPerceptron

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.

22 Evaluation measures

Area under ROC curve
0.9844
Per class
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
144.5606
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0176
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
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9738
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
0.0396
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1304
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2767
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
940.3346
UserCPU time millis
1480
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
1480
Cross-validation details (10-fold Crossvalidation)