DEVELOPMENT... OpenML
Run
117912

Run 117912

Task 3917 (Supervised Classification) kc1 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)_I40
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
0.79
Per class
Build CPU time
16.2379
Build memory
930636474.7312
F measure
0.8322
Per class
Kappa
0.3016
KB relative information score
367.7862
Mean absolute error
0.1817
Mean prior absolute error
0.2616
Number of instances
2109
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8266
Per class
Predictive accuracy
0.8506
Prior entropy
0.622
Recall
0.8506
Per class
Relative absolute error
0.6945
Root mean prior squared error
0.3615
Root mean squared error
0.3369
Root relative squared error
0.9321
SciMark benchmark
919.5971