Run
121662

Run 121662

Task 3862 (Supervised Classification) audiology 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
0.9293
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
29.9879
Cross-validation details (10-fold Crossvalidation)
Build memory
1185817035.0089
Cross-validation details (10-fold Crossvalidation)
F measure
0.9423
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8466
Cross-validation details (10-fold Crossvalidation)
KB relative information score
186.9594
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0575
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3783
Cross-validation details (10-fold Crossvalidation)
Number of instances
226
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
0.9422
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9425
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8182
Cross-validation details (10-fold Crossvalidation)
Recall
0.9425
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1521
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4343
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2398
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5523
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
874.7324