Run
11167

Run 11167

Task 54 (Supervised Classification) hepatitis 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.AdaBoostM1_DecisionStump(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_DecisionStump(1)_I20
weka.AdaBoostM1_DecisionStump(1)_P100
weka.AdaBoostM1_DecisionStump(1)_S1
weka.AdaBoostM1_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump

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
0.8202
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7987
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3653
Cross-validation details (10-fold Crossvalidation)
KB relative information score
47.7
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2017
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3299
Cross-validation details (10-fold Crossvalidation)
Number of instances
155
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
0.794
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8065
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7418
Cross-validation details (10-fold Crossvalidation)
Recall
0.8065
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6113
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4048
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3746
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9254
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
922.1234[565.0277616946796894.1786698759429483.23216931738307912.12245438067161756.0557934247322]