Run
10301

Run 10301

Task 27 (Supervised Classification) colic Uploaded 22-05-2014 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_REPTree(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_REPTree(1)_I20
weka.Bagging_REPTree(1)_P100
weka.Bagging_REPTree(1)_S1
weka.Bagging_REPTree(1)_Wweka.classifiers.trees.REPTree
weka.Bagging_REPTree(1)_num-slots1
weka.REPTree(1)_I0.0
weka.REPTree(1)_L-1
weka.REPTree(1)_M2
weka.REPTree(1)_N3
weka.REPTree(1)_S1
weka.REPTree(1)_V0.001

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
0.8902
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8482
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6707
Cross-validation details (10-fold Crossvalidation)
KB relative information score
197.9695
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2291
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4662
Cross-validation details (10-fold Crossvalidation)
Number of instances
368
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
0.8498
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8505
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9509
Cross-validation details (10-fold Crossvalidation)
Recall
0.8505
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4914
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4827
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3419
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7084
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
948.3855[565.57740346189041015.7906865781697479.99187728791736910.85475360997441769.7127006129608]