Run
19883

Run 19883

Task 40 (Supervised Classification) glass Uploaded 17-06-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.AdaBoostM1_LADTree(1)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_LADTree(1)_I160
weka.AdaBoostM1_LADTree(1)_P100
weka.AdaBoostM1_LADTree(1)_S1
weka.AdaBoostM1_LADTree(1)_Wweka.classifiers.trees.LADTree
weka.LADTree(1)_B10

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
0.8796
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.764
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6852
Cross-validation details (10-fold Crossvalidation)
KB relative information score
148.0243
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0645
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2116
Cross-validation details (10-fold Crossvalidation)
Number of instances
214
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
0.7641
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.771
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.2315
Cross-validation details (10-fold Crossvalidation)
Recall
0.771
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3047
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3244
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2503
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7715
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
926.6182[551.974871083423997.9052375505228475.107003774767892.86100236006771715.242872852011]