DEVELOPMENT... OpenML
Run
118450

Run 118450

Task 246 (Supervised Classification) mfeat-karhunen Uploaded 10-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LADTree(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_LADTree(2)_I10
weka.AdaBoostM1_LADTree(2)_P100
weka.AdaBoostM1_LADTree(2)_S1
weka.AdaBoostM1_LADTree(2)_Wweka.classifiers.trees.LADTree
weka.LADTree(2)_B10

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.

21 Evaluation measures

Area under ROC curve
0.9898
Per class
Build CPU time
39.161
Build memory
1071455424
F measure
0.8744
Per class
Kappa
0.8602
KB relative information score
505.5611
Mean absolute error
0.0672
Mean prior absolute error
0.18
Number of instances
660
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8766
Per class
Predictive accuracy
0.8742
Prior entropy
3.3219
Recall
0.8742
Per class
Relative absolute error
0.3731
Root mean prior squared error
0.3
Root mean squared error
0.1484
Root relative squared error
0.4946
SciMark benchmark
937.6343