Run
179280

Run 179280

Task 3562 (Supervised Classification) lupus Uploaded 24-02-2015 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
0.7582
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7635
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5034
Cross-validation details (10-fold Crossvalidation)
KB relative information score
42.4475
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2457
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4813
Cross-validation details (10-fold Crossvalidation)
Number of instances
87
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
0.7711
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7701
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9735
Cross-validation details (10-fold Crossvalidation)
Recall
0.7701
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5105
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4904
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4685
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9554
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
868.2731
UserCPU time millis
540
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
540
Cross-validation details (10-fold Crossvalidation)