DEVELOPMENT... OpenML
Run
144590

Run 144590

Task 3896 (Supervised Classification) ada_agnostic Uploaded 31-01-2015 by Felicia West
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Flow

weka.AdaBoostM1_ADTree(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.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_I10
weka.AdaBoostM1_ADTree(2)_P100
weka.AdaBoostM1_ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_Wweka.classifiers.trees.ADTree

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
0.8847
Per class
F measure
0.8399
Per class
Kappa
0.5592
KB relative information score
1964.9239
Mean absolute error
0.2029
Mean prior absolute error
0.3732
Number of instances
4562
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8387
Per class
Predictive accuracy
0.845
Prior entropy
0.8085
Recall
0.845
Per class
Relative absolute error
0.5438
Root mean prior squared error
0.4319
Root mean squared error
0.3364
Root relative squared error
0.7788
SciMark benchmark
943.2817
UserCPU time millis
9490
UserCPU time millis testing
40
UserCPU time millis training
9450