DEVELOPMENT... OpenML
Run
19440

Run 19440

Task 11 (Supervised Classification) balance-scale Uploaded 13-06-2014 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)_I80
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
0.9279
Per class
F measure
0.8532
Per class
Kappa
0.7756
KB relative information score
358.5452
Mean absolute error
0.1436
Mean prior absolute error
0.3798
Number of instances
625
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8342
Per class
Predictive accuracy
0.8768
Prior entropy
1.3212
Recall
0.8768
Per class
Relative absolute error
0.3781
Root mean prior squared error
0.4356
Root mean squared error
0.2773
Root relative squared error
0.6367
SciMark benchmark
938.948[555.49063112315721009.934431505043476.7948015610379914.34946139689831738.1709066016394]