DEVELOPMENT... OpenML
Run
145268

Run 145268

Task 27 (Supervised Classification) colic 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
0.8509
Per class
F measure
0.795
Per class
Kappa
0.5579
KB relative information score
200.7682
Mean absolute error
0.2056
Mean prior absolute error
0.4662
Number of instances
368
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7944
Per class
Predictive accuracy
0.7962
Prior entropy
0.9509
Recall
0.7962
Per class
Relative absolute error
0.4409
Root mean prior squared error
0.4827
Root mean squared error
0.4262
Root relative squared error
0.8829
SciMark benchmark
917.1386
UserCPU time millis
2350
UserCPU time millis training
2350