Run
119515

Run 119515

Task 27 (Supervised Classification) colic Uploaded 10-12-2014 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_LMT(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_LMT(2)_I10
weka.AdaBoostM1_LMT(2)_P100
weka.AdaBoostM1_LMT(2)_S1
weka.AdaBoostM1_LMT(2)_Wweka.classifiers.trees.LMT
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

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
0.8631
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
7.5853
Cross-validation details (10-fold Crossvalidation)
Build memory
864876875.3043
Cross-validation details (10-fold Crossvalidation)
F measure
0.8209
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6163
Cross-validation details (10-fold Crossvalidation)
KB relative information score
220.7155
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1815
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
0.8212
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8207
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9509
Cross-validation details (10-fold Crossvalidation)
Recall
0.8207
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3893
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4827
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4058
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8407
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
944.4197