Run
168535

Run 168535

Task 221 (Supervised Classification) Hyperplane_10_1E-4 Uploaded 20-02-2015 by Joaquin Vanschoren
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Flow

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

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
0.937 ± 0.0006
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9085 ± 0.0007
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.817 ± 0.0014
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.8168 ± 0.0014
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0367 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000000
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
0.9085 ± 0.0007
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9085 ± 0.0007
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1 ± 0
Cross-validation details (10-fold Crossvalidation)
Recall
0.9085 ± 0.0007
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1833 ± 0.0014
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3162 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1911 ± 0.0007
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6043 ± 0.0023
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
943.2817
UserCPU time millis
300850
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
90110
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
210740
Cross-validation details (10-fold Crossvalidation)