Run
165753

Run 165753

Task 227 (Supervised Classification) RandomRBF_50_1E-3 Uploaded 17-02-2015 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)_I160
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.

20 Evaluation measures

Area under ROC curve
0.5309 ± 0.0009
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0198 ± 0.0011
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.0435 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3064 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3093 ± 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]
Predictive accuracy
0.2899 ± 0.0009
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.2205 ± 0
Cross-validation details (10-fold Crossvalidation)
Recall
0.2899 ± 0.0009
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9906 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3932 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3938 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0015 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
941.7954
UserCPU time millis
24380
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
9500
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
14880
Cross-validation details (10-fold Crossvalidation)