Run
20265

Run 20265

Task 38 (Supervised Classification) ecoli Uploaded 18-06-2014 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
0.9559
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8477
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8009
Cross-validation details (10-fold Crossvalidation)
KB relative information score
206.7121
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0905
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1828
Cross-validation details (10-fold Crossvalidation)
Number of instances
336
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
0.8495
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8571
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.2353
Cross-validation details (10-fold Crossvalidation)
Recall
0.8571
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4952
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3016
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1782
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5909
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
937.2341[558.33565926128391009.4054313942349475.107003774767899.60191115807121743.72061647895]