DEVELOPMENT... OpenML
Run
118054

Run 118054

Task 3057 (Supervised Classification) SPECTF 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
0.8865
Per class
Build CPU time
1.72
Build memory
115886208
F measure
0.846
Per class
Kappa
0.6309
KB relative information score
69.9171
Mean absolute error
0.149
Mean prior absolute error
0.4035
Number of instances
115
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8507
Per class
Predictive accuracy
0.8435
Prior entropy
0.8464
Recall
0.8435
Per class
Relative absolute error
0.3694
Root mean prior squared error
0.4525
Root mean squared error
0.3772
Root relative squared error
0.8335
SciMark benchmark
942.5053