DEVELOPMENT... OpenML
Run
20635

Run 20635

Task 2074 (Supervised Classification) satimage Uploaded 18-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_RandomForest(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_RandomForest(1)_C3
weka.MultiBoostAB_RandomForest(1)_I160
weka.MultiBoostAB_RandomForest(1)_P100
weka.MultiBoostAB_RandomForest(1)_S1
weka.MultiBoostAB_RandomForest(1)_Wweka.classifiers.trees.RandomForest
weka.RandomForest(1)_I10
weka.RandomForest(1)_K0
weka.RandomForest(1)_S1
weka.RandomForest(1)_num-slots1

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
0.9573
Per class
F measure
0.9273
Per class
Kappa
0.9119
KB relative information score
5859.9824
Mean absolute error
0.0238
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
0.9275
Per class
Predictive accuracy
0.9288
Prior entropy
2.4836
Recall
0.9288
Per class
Relative absolute error
0.0879
Root mean prior squared error
0.3675
Root mean squared error
0.1539
Root relative squared error
0.4188
SciMark benchmark
930.9754[564.29653665317711003.0999501163338471.97445780944514893.77433845018811721.7317279515878]