Run
22972

Run 22972

Task 2075 (Supervised Classification) abalone Uploaded 23-06-2014 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_J48(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.J48(1)_C0.25
weka.J48(1)_M2
weka.MultiBoostAB_J48(1)_C3
weka.MultiBoostAB_J48(1)_I80
weka.MultiBoostAB_J48(1)_P100
weka.MultiBoostAB_J48(1)_S1
weka.MultiBoostAB_J48(1)_Wweka.classifiers.trees.J48

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
0.6315
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.218
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1255
Cross-validation details (10-fold Crossvalidation)
KB relative information score
752.9877
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0535
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0618
Cross-validation details (10-fold Crossvalidation)
Number of instances
4177
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
0.2144
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.2236
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.6268
Cross-validation details (10-fold Crossvalidation)
Recall
0.2236
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8654
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1757
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2254
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2825
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
943.9182[559.41007791153281012.3220633477529480.85168147774846903.01064241690561763.996443846447]