DEVELOPMENT... OpenML
Run
122125

Run 122125

Task 3756 (Supervised Classification) visualizing_hamster 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
0.6667
Per class
Build CPU time
4.8761
Build memory
1074514755.1781
F measure
0.6701
Per class
Kappa
0.3328
KB relative information score
24.0906
Mean absolute error
0.3311
Mean prior absolute error
0.4955
Number of instances
73
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.67
Per class
Predictive accuracy
0.6712
Prior entropy
0.9937
Recall
0.6712
Per class
Relative absolute error
0.6681
Root mean prior squared error
0.4977
Root mean squared error
0.5732
Root relative squared error
1.1516
SciMark benchmark
908.8705