DEVELOPMENT... OpenML
Run
118108

Run 118108

Task 3583 (Supervised Classification) rmftsa_ladata 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
0.943
Per class
Build CPU time
0.8889
Build memory
1622389676.4567
F measure
0.8896
Per class
Kappa
0.7755
KB relative information score
389.4499
Mean absolute error
0.1146
Mean prior absolute error
0.4921
Number of instances
508
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8896
Per class
Predictive accuracy
0.8898
Prior entropy
0.9886
Recall
0.8898
Per class
Relative absolute error
0.2329
Root mean prior squared error
0.496
Root mean squared error
0.3216
Root relative squared error
0.6484
SciMark benchmark
916.8516