DEVELOPMENT... OpenML
Run
18102

Run 18102

Task 38 (Supervised Classification) ecoli Uploaded 10-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_BFTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.BFTree(1)_Ctrue
weka.BFTree(1)_M2
weka.BFTree(1)_N5
weka.BFTree(1)_PPOSTPRUNED
weka.BFTree(1)_S1
weka.MultiBoostAB_BFTree(1)_C3
weka.MultiBoostAB_BFTree(1)_I80
weka.MultiBoostAB_BFTree(1)_P100
weka.MultiBoostAB_BFTree(1)_S1
weka.MultiBoostAB_BFTree(1)_Wweka.classifiers.trees.BFTree

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
0.919
Per class
F measure
0.8491
Per class
Kappa
0.7979
KB relative information score
255.2336
Mean absolute error
0.037
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
0.8448
Per class
Predictive accuracy
0.8542
Prior entropy
2.2353
Recall
0.8542
Per class
Relative absolute error
0.2027
Root mean prior squared error
0.3016
Root mean squared error
0.191
Root relative squared error
0.6334
SciMark benchmark
944.3641[559.76915123019011015.7906865781697484.75925509327664904.8809625230991756.6204475653492]