DEVELOPMENT... OpenML
Run
118388

Run 118388

Task 3885 (Supervised Classification) mfeat-pixel 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)_I40
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
0.9869
Per class
Build CPU time
727.1194
Build memory
246753788
F measure
0.9945
Per class
Kappa
0.9691
KB relative information score
1916.8306
Mean absolute error
0.0054
Mean prior absolute error
0.1803
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9945
Per class
Predictive accuracy
0.9945
Prior entropy
0.4703
Recall
0.9945
Per class
Relative absolute error
0.0298
Root mean prior squared error
0.3
Root mean squared error
0.0724
Root relative squared error
0.2414
SciMark benchmark
937.279