DEVELOPMENT... OpenML
Run
116847

Run 116847

Task 3913 (Supervised Classification) kc2 Uploaded 09-12-2014 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)_I160
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
0.7431
Per class
Build CPU time
6.4862
Build memory
161687247.0498
F measure
0.8128
Per class
Kappa
0.4063
KB relative information score
173.6088
Mean absolute error
0.1925
Mean prior absolute error
0.3266
Number of instances
522
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8086
Per class
Predictive accuracy
0.8199
Prior entropy
0.734
Recall
0.8199
Per class
Relative absolute error
0.5896
Root mean prior squared error
0.4037
Root mean squared error
0.3939
Root relative squared error
0.9758
SciMark benchmark
920.2874