DEVELOPMENT... OpenML
Run
122004

Run 122004

Task 3598 (Supervised Classification) fri_c0_250_50 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
0.8191
Per class
Build CPU time
87.5079
Build memory
1270318083.2
F measure
0.8082
Per class
Kappa
0.6156
KB relative information score
153.0681
Mean absolute error
0.1928
Mean prior absolute error
0.498
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8093
Per class
Predictive accuracy
0.808
Prior entropy
0.9971
Recall
0.808
Per class
Relative absolute error
0.3872
Root mean prior squared error
0.499
Root mean squared error
0.4369
Root relative squared error
0.8755
SciMark benchmark
931.6517