DEVELOPMENT... OpenML
Run
145278

Run 145278

Task 38 (Supervised Classification) ecoli Uploaded 31-01-2015 by Felicia West
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Flow

weka.AdaBoostM1_BFTree(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_BFTree(2)_I10
weka.AdaBoostM1_BFTree(2)_P100
weka.AdaBoostM1_BFTree(2)_S1
weka.AdaBoostM1_BFTree(2)_Wweka.classifiers.trees.BFTree
weka.BFTree(2)_Ctrue
weka.BFTree(2)_M2
weka.BFTree(2)_N5
weka.BFTree(2)_PPOSTPRUNED
weka.BFTree(2)_S1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.957
Per class
F measure
0.8441
Per class
Kappa
0.7902
KB relative information score
256.415
Mean absolute error
0.0384
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
0.8405
Per class
Predictive accuracy
0.8482
Prior entropy
2.2353
Recall
0.8482
Per class
Relative absolute error
0.2103
Root mean prior squared error
0.3016
Root mean squared error
0.1833
Root relative squared error
0.6076
SciMark benchmark
948.1045
UserCPU time millis
210
UserCPU time millis training
210