DEVELOPMENT... OpenML
Run
22264

Run 22264

Task 55 (Supervised Classification) vote Uploaded 21-06-2014 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)_I40
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
0.9753
Per class
F measure
0.954
Per class
Kappa
0.9028
KB relative information score
392.3454
Mean absolute error
0.0451
Mean prior absolute error
0.4742
Number of instances
435
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.954
Per class
Predictive accuracy
0.954
Prior entropy
0.9627
Recall
0.954
Per class
Relative absolute error
0.0951
Root mean prior squared error
0.4869
Root mean squared error
0.206
Root relative squared error
0.4232
SciMark benchmark
927.8623[546.6125504044643993.5318554177143471.55983089878305891.64624114952131735.9610592070294]