DEVELOPMENT... OpenML
Run
118867

Run 118867

Task 20 (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)_I20
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
0.9964
Per class
Build CPU time
1062.628
Build memory
541395753.6
F measure
0.942
Per class
Kappa
0.9356
KB relative information score
1821.7948
Mean absolute error
0.0251
Mean prior absolute error
0.18
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
0.9423
Per class
Predictive accuracy
0.942
Prior entropy
3.3219
Recall
0.942
Per class
Relative absolute error
0.1396
Root mean prior squared error
0.3
Root mean squared error
0.0983
Root relative squared error
0.3275
SciMark benchmark
914.1182