DEVELOPMENT... OpenML
Run
22586

Run 22586

Task 2074 (Supervised Classification) satimage Uploaded 22-06-2014 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
0.9724
Per class
F measure
0.9195
Per class
Kappa
0.9021
KB relative information score
5814.2141
Mean absolute error
0.0264
Mean prior absolute error
0.2701
Number of instances
6430
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9194
Per class
Predictive accuracy
0.9208
Prior entropy
2.4836
Recall
0.9208
Per class
Relative absolute error
0.0978
Root mean prior squared error
0.3675
Root mean squared error
0.1588
Root relative squared error
0.4321
SciMark benchmark
941.4491[553.727212448036998.4223110721939484.54051677983614910.53839766977511760.017229859821]