Run
105586

Run 105586

Task 3806 (Supervised Classification) fri_c0_500_10 Uploaded 09-12-2014 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_ADTree(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.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_I10
weka.AdaBoostM1_ADTree(2)_P100
weka.AdaBoostM1_ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_Wweka.classifiers.trees.ADTree

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
0.9404
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.362
Cross-validation details (10-fold Crossvalidation)
Build memory
130860708
Cross-validation details (10-fold Crossvalidation)
F measure
0.8699
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7393
Cross-validation details (10-fold Crossvalidation)
KB relative information score
361.7053
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1401
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4994
Cross-validation details (10-fold Crossvalidation)
Number of instances
500
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
0.8703
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.87
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9991
Cross-validation details (10-fold Crossvalidation)
Recall
0.87
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2806
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4997
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3316
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6636
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
902.0906