DEVELOPMENT... OpenML
Run
122039

Run 122039

Task 3647 (Supervised Classification) rabe_266 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
0.9547
Per class
Build CPU time
5.8857
Build memory
321195835.2
F measure
0.9584
Per class
Kappa
0.9167
KB relative information score
109.2357
Mean absolute error
0.0449
Mean prior absolute error
0.4988
Number of instances
120
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9596
Per class
Predictive accuracy
0.9583
Prior entropy
0.9983
Recall
0.9583
Per class
Relative absolute error
0.0901
Root mean prior squared error
0.4994
Root mean squared error
0.2073
Root relative squared error
0.415
SciMark benchmark
931.16