DEVELOPMENT... OpenML
Run
20177

Run 20177

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

weka.MultiBoostAB_RandomTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_RandomTree(1)_C3
weka.MultiBoostAB_RandomTree(1)_I10
weka.MultiBoostAB_RandomTree(1)_P100
weka.MultiBoostAB_RandomTree(1)_S1
weka.MultiBoostAB_RandomTree(1)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(1)_K0
weka.RandomTree(1)_M1.0
weka.RandomTree(1)_S1

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
0.9079
Per class
F measure
0.8477
Per class
Kappa
0.8114
KB relative information score
5259.1618
Mean absolute error
0.051
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
0.8483
Per class
Predictive accuracy
0.8471
Prior entropy
2.4836
Recall
0.8471
Per class
Relative absolute error
0.1887
Root mean prior squared error
0.3675
Root mean squared error
0.2257
Root relative squared error
0.6143
SciMark benchmark
943.1072[554.96045257769031014.7208839634673483.449727694041910.85475360997441751.5501218345944]