DEVELOPMENT... OpenML
Run
23167

Run 23167

Task 38 (Supervised Classification) ecoli Uploaded 24-06-2014 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)_I80
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
0.8572
Per class
F measure
0.7694
Per class
Kappa
0.6856
KB relative information score
216.0932
Mean absolute error
0.0573
Mean prior absolute error
0.1828
Number of instances
336
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7704
Per class
Predictive accuracy
0.7708
Prior entropy
2.2353
Recall
0.7708
Per class
Relative absolute error
0.3134
Root mean prior squared error
0.3016
Root mean squared error
0.2394
Root relative squared error
0.7936
SciMark benchmark
928.161[519.2737888768725977.1577105498627468.0653295378801911.17140496421141765.1369023070451]