DEVELOPMENT... OpenML
Run
118732

Run 118732

Task 3672 (Supervised Classification) kin8nm 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
0.8667
Per class
Build CPU time
8.1375
Build memory
495967151.3252
F measure
0.7795
Per class
Kappa
0.5589
KB relative information score
3835.9872
Mean absolute error
0.2775
Mean prior absolute error
0.4998
Number of instances
8192
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7795
Per class
Predictive accuracy
0.7795
Prior entropy
0.9998
Recall
0.7795
Per class
Relative absolute error
0.5552
Root mean prior squared error
0.4999
Root mean squared error
0.3887
Root relative squared error
0.7775
SciMark benchmark
937.6343