Run
15523

Run 15523

Task 2072 (Supervised Classification) covertype Uploaded 04-06-2014 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_NaiveBayes(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_NaiveBayes(1)_C3
weka.MultiBoostAB_NaiveBayes(1)_I10
weka.MultiBoostAB_NaiveBayes(1)_P100
weka.MultiBoostAB_NaiveBayes(1)_S1
weka.MultiBoostAB_NaiveBayes(1)_Wweka.classifiers.bayes.NaiveBayes

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.7557
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6226
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.432
Cross-validation details (10-fold Crossvalidation)
KB relative information score
37238.4087
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1479
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1853
Cross-validation details (10-fold Crossvalidation)
Number of instances
110393
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
0.6321
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.626
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.8698
Cross-validation details (10-fold Crossvalidation)
Recall
0.626
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.798
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3044
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2852
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9371
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
938.9256[559.41007791153281013.3867476860681474.47716242600075903.63322279127081743.7207492169434]