DEVELOPMENT... OpenML
Run
144867

Run 144867

Task 3892 (Supervised Classification) hiva_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
0.762
Per class
F measure
0.9553
Per class
Kappa
0.2247
KB relative information score
-2449.6034
Mean absolute error
0.0537
Mean prior absolute error
0.0682
Number of instances
4229
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9522
Per class
Predictive accuracy
0.9638
Prior entropy
0.221
Recall
0.9638
Per class
Relative absolute error
0.7882
Root mean prior squared error
0.1844
Root mean squared error
0.1788
Root relative squared error
0.97
SciMark benchmark
902.4773
UserCPU time millis
759190
UserCPU time millis testing
50
UserCPU time millis training
759140