Run
17120

Run 17120

Task 15 (Supervised Classification) breast-w Uploaded 06-06-2014 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_LMT(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.LMT(1)_I-1
weka.LMT(1)_M15
weka.LMT(1)_W0.0
weka.MultiBoostAB_LMT(1)_C3
weka.MultiBoostAB_LMT(1)_I40
weka.MultiBoostAB_LMT(1)_P100
weka.MultiBoostAB_LMT(1)_S1
weka.MultiBoostAB_LMT(1)_Wweka.classifiers.trees.LMT

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
0.9636
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9601
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9119
Cross-validation details (10-fold Crossvalidation)
KB relative information score
634.0919
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.04
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.452
Cross-validation details (10-fold Crossvalidation)
Number of instances
699
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
0.9603
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9599
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9297
Cross-validation details (10-fold Crossvalidation)
Recall
0.9599
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0886
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4753
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2001
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.421
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
878.4595[511.0579277054876988.4355182753967467.25060485183866891.04013534266231534.5135363234199]