Run
6269

Run 6269

Task 21 (Supervised Classification) car Uploaded 15-05-2014 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)_I10
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
0.8703
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5768
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-268.1323
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2752
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.229
Cross-validation details (10-fold Crossvalidation)
Number of instances
1728
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
0.4903
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7002
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2099
Cross-validation details (10-fold Crossvalidation)
Recall
0.7002
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.2017
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3381
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3344
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.989
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
926.761[569.4549985755256907.6565597868441482.14720472367435913.39376464446721761.1524117823017]