DEVELOPMENT... OpenML
Run
118118

Run 118118

Task 3598 (Supervised Classification) fri_c0_250_50 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
0.8856
Per class
Build CPU time
2.0835
Build memory
1853486492
F measure
0.8041
Per class
Kappa
0.607
KB relative information score
147.5372
Mean absolute error
0.2049
Mean prior absolute error
0.498
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8045
Per class
Predictive accuracy
0.804
Prior entropy
0.9971
Recall
0.804
Per class
Relative absolute error
0.4115
Root mean prior squared error
0.499
Root mean squared error
0.4211
Root relative squared error
0.844
SciMark benchmark
916.8516