Run
9483

Run 9483

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)_I100
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
0.8893
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8453
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6642
Cross-validation details (10-fold Crossvalidation)
KB relative information score
193.9445
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2348
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
0.8472
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8478
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9509
Cross-validation details (10-fold Crossvalidation)
Recall
0.8478
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5038
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4827
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3416
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7078
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
945.4325[559.76915123019011014.9881073746852482.7975877024999909.59057174132591760.0170946291457]