Run
23154

Run 23154

Task 27 (Supervised Classification) colic Uploaded 24-06-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.AdaBoostM1_LMT(1)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_LMT(1)_I160
weka.AdaBoostM1_LMT(1)_P100
weka.AdaBoostM1_LMT(1)_S1
weka.AdaBoostM1_LMT(1)_Wweka.classifiers.trees.LMT
weka.LMT(1)_I-1
weka.LMT(1)_M15
weka.LMT(1)_W0.0

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
0.8109
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8181
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6099
Cross-validation details (10-fold Crossvalidation)
KB relative information score
219.7946
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.182
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
0.8182
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8179
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9509
Cross-validation details (10-fold Crossvalidation)
Recall
0.8179
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3905
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4827
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4266
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8839
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
902.321[551.1028529635848984.6474149705706464.4211968726429886.52011659853681624.9131907636126]