DEVELOPMENT... OpenML
Run
18056

Run 18056

Task 2 (Supervised Classification) anneal Uploaded 10-06-2014 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
0.95
Per class
F measure
0.9497
Per class
Kappa
0.873
KB relative information score
767.4048
Mean absolute error
0.0166
Mean prior absolute error
0.1343
Number of instances
898
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9498
Per class
Predictive accuracy
0.9499
Prior entropy
1.2149
Recall
0.9499
Per class
Relative absolute error
0.1239
Root mean prior squared error
0.2582
Root mean squared error
0.126
Root relative squared error
0.488
SciMark benchmark
894.14[539.84545615315941011.2595505536781468.8829003871018892.5570199707421558.1550717574194]