DEVELOPMENT... OpenML
Run
118584

Run 118584

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)_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
0.9205
Per class
Build CPU time
0.812
Build memory
1529085656
F measure
0.8631
Per class
Kappa
0.6719
KB relative information score
73.6456
Mean absolute error
0.1393
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
0.8676
Per class
Predictive accuracy
0.8609
Prior entropy
0.8464
Recall
0.8609
Per class
Relative absolute error
0.3453
Root mean prior squared error
0.4525
Root mean squared error
0.3633
Root relative squared error
0.8027
SciMark benchmark
916.8516

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