Run
6966

Run 6966

Task 53 (Supervised Classification) vehicle Uploaded 21-05-2014 by Joaquin Vanschoren
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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)_I80
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
0.6399
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.3112
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2015
Cross-validation details (10-fold Crossvalidation)
KB relative information score
168.4167
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3374
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3748
Cross-validation details (10-fold Crossvalidation)
Number of instances
846
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
0.2814
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.396
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.9991
Cross-validation details (10-fold Crossvalidation)
Recall
0.396
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4329
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4108
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.949
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
887.6948[563.5672451942526906.3758578050049477.85573387886615914.98778054938791575.6875958185626]