Run
18574

Run 18574

Task 4 (Supervised Classification) labor Uploaded 10-06-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.MultiBoostAB_RandomTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_RandomTree(1)_C3
weka.MultiBoostAB_RandomTree(1)_I40
weka.MultiBoostAB_RandomTree(1)_P100
weka.MultiBoostAB_RandomTree(1)_S1
weka.MultiBoostAB_RandomTree(1)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(1)_K0
weka.RandomTree(1)_M1.0
weka.RandomTree(1)_S1

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
0.8649
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8555
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6771
Cross-validation details (10-fold Crossvalidation)
KB relative information score
35.5713
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1718
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.457
Cross-validation details (10-fold Crossvalidation)
Number of instances
57
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
0.8611
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8596
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9393
Cross-validation details (10-fold Crossvalidation)
Recall
0.8596
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3758
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4773
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3361
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7043
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
922.136[557.6216842393322993.7880338188492478.4945829226523896.21881802907471684.5569282723582]