Run
135274

Run 135274

Task 57 (Supervised Classification) ionosphere 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)_I40
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
0.8705
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.0036
Cross-validation details (10-fold Crossvalidation)
Build memory
2028299036.6496
Cross-validation details (10-fold Crossvalidation)
F measure
0.8829
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7449
Cross-validation details (10-fold Crossvalidation)
KB relative information score
258.6082
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1168
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4604
Cross-validation details (10-fold Crossvalidation)
Number of instances
351
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
0.8827
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8832
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9425
Cross-validation details (10-fold Crossvalidation)
Recall
0.8832
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2537
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4797
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3418
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7125
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
946.9091