Run
168524

Run 168524

Task 220 (Supervised Classification) Hyperplane_10_1E-3 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
0.6994 ± 0.0018
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6965 ± 0.0016
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3929 ± 0.0032
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-0.3197 ± 0.227
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.256 ± 0.0355
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
0.6965 ± 0.0016
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6965 ± 0.0016
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1 ± 0
Cross-validation details (10-fold Crossvalidation)
Recall
0.6965 ± 0.0016
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.2801 ± 0.1777
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3162 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3422 ± 0.0173
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0822 ± 0.0546
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
770.3451
UserCPU time millis
275980
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
73600
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
202380
Cross-validation details (10-fold Crossvalidation)