DEVELOPMENT... OpenML
Run
20437

Run 20437

Task 36 (Supervised Classification) segment Uploaded 18-06-2014 by Felicia West
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Flow

weka.AdaBoostM1_IBk(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_IBk(1)_I160
weka.AdaBoostM1_IBk(1)_P100
weka.AdaBoostM1_IBk(1)_S1
weka.AdaBoostM1_IBk(1)_Wweka.classifiers.lazy.IBk
weka.IBk(1)_Atrue
weka.IBk(1)_K1
weka.IBk(1)_W0

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
0.9848
Per class
F measure
0.9735
Per class
Kappa
0.9692
KB relative information score
2240.9843
Mean absolute error
0.0083
Mean prior absolute error
0.2449
Number of instances
2310
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9736
Per class
Predictive accuracy
0.9736
Prior entropy
2.8074
Recall
0.9736
Per class
Relative absolute error
0.0339
Root mean prior squared error
0.3499
Root mean squared error
0.0867
Root relative squared error
0.2478
SciMark benchmark
941.1802[554.4312430895411014.7208839634673482.3638387076229901.14811183887921753.2370197795062]