DEVELOPMENT... OpenML
Run
21216

Run 21216

Task 29 (Supervised Classification) credit-approval Uploaded 18-06-2014 by Felicia West
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weka.AdaBoostM1_LWL_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_LWL_DecisionStump(1)_I80
weka.AdaBoostM1_LWL_DecisionStump(1)_P100
weka.AdaBoostM1_LWL_DecisionStump(1)_S1
weka.AdaBoostM1_LWL_DecisionStump(1)_Wweka.classifiers.lazy.LWL
weka.LWL_DecisionStump(1)_Atrue
weka.LWL_DecisionStump(1)_K-1
weka.LWL_DecisionStump(1)_U0
weka.LWL_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
0.9073
Per class
F measure
0.8462
Per class
Kappa
0.6884
KB relative information score
477.008
Mean absolute error
0.1517
Mean prior absolute error
0.494
Number of instances
690
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8462
Per class
Predictive accuracy
0.8464
Prior entropy
0.9913
Recall
0.8464
Per class
Relative absolute error
0.3072
Root mean prior squared error
0.497
Root mean squared error
0.3717
Root relative squared error
0.748
SciMark benchmark
945.7678[566.31186629444681014.4538012229739483.2321174670136904.2565878661760.5845701777503]

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