DEVELOPMENT... OpenML
Run
52959

Run 52959

Task 1757 (Learning Curve) waveform-5000 Uploaded 07-11-2014 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
0.9534 ± 0.0092
Per class
Build CPU time
9.5748
Build memory
748335228.9143
F measure
0.8252 ± 0.0155
Per class
Kappa
0.7378 ± 0.0235
KB relative information score
0.7266 ± 0.0197
Mean absolute error
0.141 ± 0.0099
Mean prior absolute error
0.4444 ± 0
Number of instances
5000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8253 ± 0.0154
Per class
Predictive accuracy
0.8252 ± 0.0156
Prior entropy
1.5849 ± 0
Recall
0.8252 ± 0.0156
Per class
Relative absolute error
0.3173 ± 0.0222
Root mean prior squared error
0.4714 ± 0
Root mean squared error
0.2891 ± 0.0139
Root relative squared error
0.6133 ± 0.0295
SciMark benchmark
942.4911