DEVELOPMENT... OpenML
Run
118716

Run 118716

Task 3653 (Supervised Classification) triazines 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
0.866
Per class
Build CPU time
1.0402
Build memory
392492897.2043
F measure
0.7897
Per class
Kappa
0.5654
KB relative information score
100.8705
Mean absolute error
0.2214
Mean prior absolute error
0.4854
Number of instances
186
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7894
Per class
Predictive accuracy
0.7903
Prior entropy
0.979
Recall
0.7903
Per class
Relative absolute error
0.4562
Root mean prior squared error
0.4925
Root mean squared error
0.4161
Root relative squared error
0.8448
SciMark benchmark
939.6298