DEVELOPMENT... OpenML
Run
121349

Run 121349

Task 2079 (Supervised Classification) eucalyptus 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
0.8226
Per class
Build CPU time
622.1509
Build memory
640994422.6522
F measure
0.6832
Per class
Kappa
0.5938
KB relative information score
459.6476
Mean absolute error
0.1266
Mean prior absolute error
0.3132
Number of instances
736
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6845
Per class
Predictive accuracy
0.6834
Prior entropy
2.2629
Recall
0.6834
Per class
Relative absolute error
0.4042
Root mean prior squared error
0.3957
Root mean squared error
0.3534
Root relative squared error
0.8931
SciMark benchmark
934.8107