Run
19837

Run 19837

Task 23 (Supervised Classification) cmc Uploaded 17-06-2014 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_LADTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.LADTree(1)_B10
weka.MultiBoostAB_LADTree(1)_C3
weka.MultiBoostAB_LADTree(1)_I10
weka.MultiBoostAB_LADTree(1)_P100
weka.MultiBoostAB_LADTree(1)_S1
weka.MultiBoostAB_LADTree(1)_Wweka.classifiers.trees.LADTree

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
0.7018
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5511
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3033
Cross-validation details (10-fold Crossvalidation)
KB relative information score
277.8651
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.379
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4308
Cross-validation details (10-fold Crossvalidation)
Number of instances
1473
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
0.5605
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5574
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.5392
Cross-validation details (10-fold Crossvalidation)
Recall
0.5574
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8796
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4641
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4382
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9442
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
897.8187[529.5205487155658962.5150587036641458.8639974285942863.45190661122311674.7419413336256]