DEVELOPMENT... OpenML
Run
121707

Run 121707

Task 3915 (Supervised Classification) kc3 Uploaded 12-12-2014 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)_I80
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
0.6879
Per class
Build CPU time
27.038
Build memory
1961592633.2052
F measure
0.8821
Per class
Kappa
0.2279
KB relative information score
77.4624
Mean absolute error
0.1038
Mean prior absolute error
0.1716
Number of instances
458
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8739
Per class
Predictive accuracy
0.8974
Prior entropy
0.4551
Recall
0.8974
Per class
Relative absolute error
0.605
Root mean prior squared error
0.2917
Root mean squared error
0.3133
Root relative squared error
1.0743
SciMark benchmark
924.9295