DEVELOPMENT... OpenML
Run
121541

Run 121541

Task 3716 (Supervised Classification) tecator 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)_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
0.947
Per class
Build CPU time
53.7827
Build memory
1056647340.8
F measure
0.9415
Per class
Kappa
0.88
KB relative information score
211.407
Mean absolute error
0.0573
Mean prior absolute error
0.4888
Number of instances
240
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9419
Per class
Predictive accuracy
0.9417
Prior entropy
0.984
Recall
0.9417
Per class
Relative absolute error
0.1173
Root mean prior squared error
0.4943
Root mean squared error
0.2378
Root relative squared error
0.481
SciMark benchmark
945.0532