Run
17229

Run 17229

Task 2075 (Supervised Classification) abalone Uploaded 07-06-2014 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_BFTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.BFTree(1)_Ctrue
weka.BFTree(1)_M2
weka.BFTree(1)_N5
weka.BFTree(1)_PPOSTPRUNED
weka.BFTree(1)_S1
weka.MultiBoostAB_BFTree(1)_C3
weka.MultiBoostAB_BFTree(1)_I160
weka.MultiBoostAB_BFTree(1)_P100
weka.MultiBoostAB_BFTree(1)_S1
weka.MultiBoostAB_BFTree(1)_Wweka.classifiers.trees.BFTree

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
0.7088
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.2343
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1455
Cross-validation details (10-fold Crossvalidation)
KB relative information score
242.6278
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0642
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
0.2293
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.2475
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.6268
Cross-validation details (10-fold Crossvalidation)
Recall
0.2475
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.0387
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1757
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1798
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0233
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
947.2605[554.07898314586341015.2555990998168484.10363182779514910.85475360997441772.0095077594983]