DEVELOPMENT... OpenML
Run
17410

Run 17410

Task 11 (Supervised Classification) balance-scale Uploaded 08-06-2014 by Felicia West
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Flow

weka.AdaBoostM1_J48(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_J48(1)_I160
weka.AdaBoostM1_J48(1)_P100
weka.AdaBoostM1_J48(1)_S1
weka.AdaBoostM1_J48(1)_Wweka.classifiers.trees.J48
weka.J48(1)_C0.25
weka.J48(1)_M2

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
0.8353
Per class
F measure
0.7734
Per class
Kappa
0.5774
KB relative information score
322.6775
Mean absolute error
0.1662
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
0.7984
Per class
Predictive accuracy
0.7504
Prior entropy
1.3212
Recall
0.7504
Per class
Relative absolute error
0.4375
Root mean prior squared error
0.4356
Root mean squared error
0.4057
Root relative squared error
0.9315
SciMark benchmark
948.1844[569.08343984236521016.3264661877167483.88543266528814909.90626928802961761.7203488120049]