DEVELOPMENT... OpenML
Run
19559

Run 19559

Task 4 (Supervised Classification) labor Uploaded 16-06-2014 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)_I160
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
0.948
Per class
F measure
0.9477
Per class
Kappa
0.8858
KB relative information score
49.9501
Mean absolute error
0.0526
Mean prior absolute error
0.457
Number of instances
57
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9486
Per class
Predictive accuracy
0.9474
Prior entropy
0.9393
Recall
0.9474
Per class
Relative absolute error
0.1152
Root mean prior squared error
0.4773
Root mean squared error
0.2294
Root relative squared error
0.4807
SciMark benchmark
923.145[554.7839091511904983.8932758687267469.70333233980045888.32260997168151719.0221135167596]

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