DEVELOPMENT... OpenML
Run
120594

Run 120594

Task 3923 (Supervised Classification) datatrieve Uploaded 10-12-2014 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)_I20
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
0.581
Per class
Build CPU time
1.3396
Build memory
64260173.6
F measure
0.8664
Per class
Kappa
0.1195
KB relative information score
-25.8174
Mean absolute error
0.1372
Mean prior absolute error
0.1601
Number of instances
130
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8637
Per class
Predictive accuracy
0.8692
Prior entropy
0.4395
Recall
0.8692
Per class
Relative absolute error
0.8565
Root mean prior squared error
0.2784
Root mean squared error
0.3606
Root relative squared error
1.2952
SciMark benchmark
936.914