Run
116732

Run 116732

Task 3763 (Supervised Classification) chscase_census6 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_LADTree(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_LADTree(2)_I160
weka.AdaBoostM1_LADTree(2)_P100
weka.AdaBoostM1_LADTree(2)_S1
weka.AdaBoostM1_LADTree(2)_Wweka.classifiers.trees.LADTree
weka.LADTree(2)_B10

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
0.5137
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
3.4318
Cross-validation details (10-fold Crossvalidation)
Build memory
368279845.6
Cross-validation details (10-fold Crossvalidation)
F measure
0.5104
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.0091
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-10.6915
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4904
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4848
Cross-validation details (10-fold Crossvalidation)
Number of instances
400
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
0.5109
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.51
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.978
Cross-validation details (10-fold Crossvalidation)
Recall
0.51
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.0116
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4923
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.6763
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.3737
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
893.4088