Run
105630

Run 105630

Task 3868 (Supervised Classification) glass 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
0.8706
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.0765
Cross-validation details (10-fold Crossvalidation)
Build memory
147081019.7383
Cross-validation details (10-fold Crossvalidation)
F measure
0.7967
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.552
Cross-validation details (10-fold Crossvalidation)
KB relative information score
116.9812
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2001
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4584
Cross-validation details (10-fold Crossvalidation)
Number of instances
214
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
0.7962
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7991
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9397
Cross-validation details (10-fold Crossvalidation)
Recall
0.7991
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4365
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4786
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4244
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8869
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
919.5281