Run
135954

Run 135954

Task 1794 (Supervised Classification) page-blocks Uploaded 28-12-2014 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_RandomTree(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_RandomTree(2)_I80
weka.AdaBoostM1_RandomTree(2)_P100
weka.AdaBoostM1_RandomTree(2)_S1
weka.AdaBoostM1_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001

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
0.9574
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Build CPU time
2.1472
Cross-validation details (5 times 2-fold Crossvalidation)
Build memory
2245393353.8684
Cross-validation details (5 times 2-fold Crossvalidation)
F measure
0.9694
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Kappa
0.8387
Cross-validation details (5 times 2-fold Crossvalidation)
KB relative information score
21532.6118
Cross-validation details (5 times 2-fold Crossvalidation)
Mean absolute error
0.0123
Cross-validation details (5 times 2-fold Crossvalidation)
Mean prior absolute error
0.0762
Cross-validation details (5 times 2-fold Crossvalidation)
Number of instances
27365
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.969
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Predictive accuracy
0.9701
Cross-validation details (5 times 2-fold Crossvalidation)
Prior entropy
0.6391
Cross-validation details (5 times 2-fold Crossvalidation)
Recall
0.9701
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Relative absolute error
0.1618
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean prior squared error
0.1949
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean squared error
0.1063
Cross-validation details (5 times 2-fold Crossvalidation)
Root relative squared error
0.5456
Cross-validation details (5 times 2-fold Crossvalidation)
SciMark benchmark
934.6076