DEVELOPMENT... OpenML
Run
117375

Run 117375

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)_I80
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
0.9963
Per class
Build CPU time
1183.1931
Build memory
606680780.8
F measure
0.944
Per class
Kappa
0.9378
KB relative information score
1831.8847
Mean absolute error
0.0235
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
0.9443
Per class
Predictive accuracy
0.944
Prior entropy
3.3219
Recall
0.944
Per class
Relative absolute error
0.1305
Root mean prior squared error
0.3
Root mean squared error
0.0966
Root relative squared error
0.322
SciMark benchmark
942.0692