DEVELOPMENT... OpenML
Run
20213

Run 20213

Task 2 (Supervised Classification) anneal 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)_I160
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
0.9447
Per class
F measure
0.9445
Per class
Kappa
0.8618
KB relative information score
758.2211
Mean absolute error
0.0185
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
0.9449
Per class
Predictive accuracy
0.9443
Prior entropy
1.2149
Recall
0.9443
Per class
Relative absolute error
0.1378
Root mean prior squared error
0.2582
Root mean squared error
0.1341
Root relative squared error
0.5194
SciMark benchmark
946.128[552.67449172039781014.1868590421574483.0147548568529915.62699156216381765.136766288487]

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