DEVELOPMENT... OpenML
Run
120029

Run 120029

Task 2074 (Supervised Classification) satimage 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)_I10
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
0.9833
Per class
Build CPU time
841.3943
Build memory
98388568.8
F measure
0.8982
Per class
Kappa
0.8748
KB relative information score
5664.3367
Mean absolute error
0.0348
Mean prior absolute error
0.2701
Number of instances
6430
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8978
Per class
Predictive accuracy
0.8986
Prior entropy
2.4836
Recall
0.8986
Per class
Relative absolute error
0.1289
Root mean prior squared error
0.3675
Root mean squared error
0.1739
Root relative squared error
0.4731
SciMark benchmark
873.8637