Run
19344

Run 19344

Task 4 (Supervised Classification) labor Uploaded 12-06-2014 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)_I10
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
0.9365
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8958
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7741
Cross-validation details (10-fold Crossvalidation)
KB relative information score
42.5265
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1118
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
0.8991
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8947
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9393
Cross-validation details (10-fold Crossvalidation)
Recall
0.8947
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2447
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4773
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3214
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6734
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
931.4181[550.5810130843906979.6415864392109468.2693939791772897.44607893752641761.152276377127]