DEVELOPMENT... OpenML
Run
20448

Run 20448

Task 55 (Supervised Classification) vote Uploaded 18-06-2014 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)_I80
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
0.9851
Per class
F measure
0.9519
Per class
Kappa
0.899
KB relative information score
386.6201
Mean absolute error
0.0519
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
0.9526
Per class
Predictive accuracy
0.9517
Prior entropy
0.9627
Recall
0.9517
Per class
Relative absolute error
0.1095
Root mean prior squared error
0.4869
Root mean squared error
0.2097
Root relative squared error
0.4307
SciMark benchmark
926.7317[567.4172322112764905.9496583591301484.54051677983614914.03067367712611761.7204843045454]