DEVELOPMENT... OpenML
Run
122121

Run 122121

Task 3754 (Supervised Classification) sleuth_case1202 Uploaded 13-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LMT(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_LMT(2)_I160
weka.AdaBoostM1_LMT(2)_P100
weka.AdaBoostM1_LMT(2)_S1
weka.AdaBoostM1_LMT(2)_Wweka.classifiers.trees.LMT
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

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
0.8177
Per class
Build CPU time
5.4864
Build memory
1487951682.4086
F measure
0.8176
Per class
Kappa
0.6167
KB relative information score
56.3328
Mean absolute error
0.1827
Mean prior absolute error
0.475
Number of instances
93
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8183
Per class
Predictive accuracy
0.8172
Prior entropy
0.9645
Recall
0.8172
Per class
Relative absolute error
0.3847
Root mean prior squared error
0.4871
Root mean squared error
0.4274
Root relative squared error
0.8774
SciMark benchmark
908.8705