DEVELOPMENT... OpenML
Run
145536

Run 145536

Task 3754 (Supervised Classification) sleuth_case1202 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
0.8584
Per class
F measure
0.8167
Per class
Kappa
0.6128
KB relative information score
57.8819
Mean absolute error
0.1744
Mean prior absolute error
0.475
Number of instances
93
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8164
Per class
Predictive accuracy
0.8172
Prior entropy
0.9645
Recall
0.8172
Per class
Relative absolute error
0.3672
Root mean prior squared error
0.4871
Root mean squared error
0.3883
Root relative squared error
0.7972
SciMark benchmark
938.4285
UserCPU time millis
50
UserCPU time millis training
50