Run
14333

Run 14333

Task 27 (Supervised Classification) colic 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)_I40
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
0.8454
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8034
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5763
Cross-validation details (10-fold Crossvalidation)
KB relative information score
170.0826
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.257
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
0.8029
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8043
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9509
Cross-validation details (10-fold Crossvalidation)
Recall
0.8043
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5512
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4827
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3827
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7928
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
947.5778[567.97153489657241016.0585376856843483.6674820550281912.43998791392861757.751385454742]