DEVELOPMENT... OpenML
Run
23737

Run 23737

Task 35 (Supervised Classification) dermatology Uploaded 27-06-2014 by Felicia West
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Flow

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)_I20
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
0.997
Per class
F measure
0.9644
Per class
Kappa
0.9555
KB relative information score
349.6348
Mean absolute error
0.012
Mean prior absolute error
0.2664
Number of instances
366
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9669
Per class
Predictive accuracy
0.9645
Prior entropy
2.4378
Recall
0.9645
Per class
Relative absolute error
0.045
Root mean prior squared error
0.3649
Root mean squared error
0.1044
Root relative squared error
0.286
SciMark benchmark
925.0507[557.087431952627983.6421727629752471.14603042180164891.64624114952131721.73185736295]