Run
6119

Run 6119

Task 1773 (Supervised Classification) autos Uploaded 14-05-2014 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)_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
0.6845
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
F measure
0.3244
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Kappa
0.1986
Cross-validation details (5 times 2-fold Crossvalidation)
KB relative information score
237.1401
Cross-validation details (5 times 2-fold Crossvalidation)
Mean absolute error
0.1957
Cross-validation details (5 times 2-fold Crossvalidation)
Mean prior absolute error
0.2209
Cross-validation details (5 times 2-fold Crossvalidation)
Number of instances
1025
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.2574
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Predictive accuracy
0.439
Cross-validation details (5 times 2-fold Crossvalidation)
Prior entropy
2.3268
Cross-validation details (5 times 2-fold Crossvalidation)
Recall
0.439
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Relative absolute error
0.8859
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean prior squared error
0.3318
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean squared error
0.3172
Cross-validation details (5 times 2-fold Crossvalidation)
Root relative squared error
0.9561
Cross-validation details (5 times 2-fold Crossvalidation)
SciMark benchmark
930.7712[567.9715348965724924.1990276952541483.449727694041915.94689394904971762.2889234168845]