Run
23174

Run 23174

Task 42 (Supervised Classification) haberman 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_SMO_PolyKernel(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_SMO_PolyKernel(1)_I20
weka.AdaBoostM1_SMO_PolyKernel(1)_P100
weka.AdaBoostM1_SMO_PolyKernel(1)_S1
weka.AdaBoostM1_SMO_PolyKernel(1)_Wweka.classifiers.functions.SMO
weka.SMO_PolyKernel(5)_C1.0
weka.SMO_PolyKernel(5)_L0.001
weka.SMO_PolyKernel(5)_N0
weka.SMO_PolyKernel(5)_P1.0E-12
weka.SMO_PolyKernel(5)_V-1
weka.SMO_PolyKernel(5)_W1

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
0.6463
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6809
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1298
Cross-validation details (10-fold Crossvalidation)
KB relative information score
14.2379
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3563
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.39
Cross-validation details (10-fold Crossvalidation)
Number of instances
306
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
0.6779
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7255
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.836
Cross-validation details (10-fold Crossvalidation)
Recall
0.7255
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9136
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4412
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4363
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.989
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
936.0251[555.1370662748691011.7904963405887436.1258190912937913.07564286738091763.996579689319]