DEVELOPMENT... OpenML
Run
116537

Run 116537

Task 3496 (Supervised Classification) SPECTF Uploaded 09-12-2014 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)_I160
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
0.922
Per class
Build CPU time
17.994
Build memory
1225275081.0774
F measure
0.921
Per class
Kappa
0.804
KB relative information score
270.9581
Mean absolute error
0.0805
Mean prior absolute error
0.3968
Number of instances
349
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9239
Per class
Predictive accuracy
0.9198
Prior entropy
0.8464
Recall
0.9198
Per class
Relative absolute error
0.2029
Root mean prior squared error
0.4451
Root mean squared error
0.2832
Root relative squared error
0.6363
SciMark benchmark
927.3354