Run
121673

Run 121673

Task 3873 (Supervised Classification) dermatology Uploaded 11-12-2014 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_LMT(2)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_LMT(2)_I80
weka.AdaBoostM1_LMT(2)_P100
weka.AdaBoostM1_LMT(2)_S1
weka.AdaBoostM1_LMT(2)_Wweka.classifiers.trees.LMT
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.9978
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
32.6369
Cross-validation details (10-fold Crossvalidation)
Build memory
402624399.6721
Cross-validation details (10-fold Crossvalidation)
F measure
0.9973
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9936
Cross-validation details (10-fold Crossvalidation)
KB relative information score
359.5871
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0071
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4251
Cross-validation details (10-fold Crossvalidation)
Number of instances
366
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
0.9973
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9973
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8898
Cross-validation details (10-fold Crossvalidation)
Recall
0.9973
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0166
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4608
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0612
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.1328
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
945.0532