Run
23247

Run 23247

Task 10 (Supervised Classification) lymph Uploaded 24-06-2014 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
0.8656
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8452
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.715
Cross-validation details (10-fold Crossvalidation)
KB relative information score
99.0228
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0747
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2677
Cross-validation details (10-fold Crossvalidation)
Number of instances
148
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
0.8394
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8514
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2818
Cross-validation details (10-fold Crossvalidation)
Recall
0.8514
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2789
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3639
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2726
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7491
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
939.0216[558.15700481007.5581615570936468.269442668285892.5570199707421768.5665966389256]