DEVELOPMENT... OpenML
Run
121000

Run 121000

Task 3761 (Supervised Classification) hip Uploaded 11-12-2014 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)_I40
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
0.9162
Per class
Build CPU time
0.697
Build memory
1798418682.3704
F measure
0.8889
Per class
Kappa
0.7775
KB relative information score
42.6635
Mean absolute error
0.1043
Mean prior absolute error
0.4993
Number of instances
54
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8889
Per class
Predictive accuracy
0.8889
Prior entropy
0.9991
Recall
0.8889
Per class
Relative absolute error
0.2089
Root mean prior squared error
0.4997
Root mean squared error
0.3151
Root relative squared error
0.6306
SciMark benchmark
916.8903