DEVELOPMENT... OpenML
Run
22265

Run 22265

Task 6 (Supervised Classification) letter Uploaded 21-06-2014 by Felicia West
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Flow

weka.AdaBoostM1_REPTree(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_REPTree(1)_I160
weka.AdaBoostM1_REPTree(1)_P100
weka.AdaBoostM1_REPTree(1)_S1
weka.AdaBoostM1_REPTree(1)_Wweka.classifiers.trees.REPTree
weka.REPTree(1)_I0.0
weka.REPTree(1)_L-1
weka.REPTree(1)_M2
weka.REPTree(1)_N3
weka.REPTree(1)_S1
weka.REPTree(1)_V0.001

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
0.994
Per class
F measure
0.9696
Per class
Kappa
0.9683
KB relative information score
19419.7565
Mean absolute error
0.0024
Mean prior absolute error
0.074
Number of instances
20000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9697
Per class
Predictive accuracy
0.9696
Prior entropy
4.6998
Recall
0.9696
Per class
Relative absolute error
0.032
Root mean prior squared error
0.1923
Root mean squared error
0.0468
Root relative squared error
0.2436
SciMark benchmark
939.9041[550.58101308439061004.4070585908115479.1351424176555909.90626928802961755.4912331040343]