DEVELOPMENT... OpenML
Run
117900

Run 117900

Task 3915 (Supervised Classification) kc3 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
0.7461
Per class
Build CPU time
5.1083
Build memory
177368114.7598
F measure
0.8579
Per class
Kappa
0.0838
KB relative information score
1.3191
Mean absolute error
0.1245
Mean prior absolute error
0.1716
Number of instances
458
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8454
Per class
Predictive accuracy
0.8734
Prior entropy
0.4551
Recall
0.8734
Per class
Relative absolute error
0.7255
Root mean prior squared error
0.2917
Root mean squared error
0.3415
Root relative squared error
1.1709
SciMark benchmark
942.0692