Run
21758

Run 21758

Task 2073 (Supervised Classification) yeast Uploaded 20-06-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.Bagging_RandomTree(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_RandomTree(1)_I20
weka.Bagging_RandomTree(1)_P100
weka.Bagging_RandomTree(1)_S1
weka.Bagging_RandomTree(1)_Wweka.classifiers.trees.RandomTree
weka.Bagging_RandomTree(1)_num-slots1
weka.RandomTree(1)_K0
weka.RandomTree(1)_M1.0
weka.RandomTree(1)_S1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.8263
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5908
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4766
Cross-validation details (10-fold Crossvalidation)
KB relative information score
720.7623
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1014
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1555
Cross-validation details (10-fold Crossvalidation)
Number of instances
1484
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
0.5941
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5991
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.5035
Cross-validation details (10-fold Crossvalidation)
Recall
0.5991
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6518
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2787
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2327
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8348
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
948.4596[567.78666173126961015.2555353338006484.3219757802961914.34946139689831760.5845701777503]