DEVELOPMENT... OpenML
Run
121360

Run 121360

Task 3498 (Supervised Classification) pasture 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
0.842
Per class
Build CPU time
1.4315
Build memory
736690121.5556
F measure
0.8019
Per class
Kappa
0.7083
KB relative information score
26.3884
Mean absolute error
0.1302
Mean prior absolute error
0.4444
Number of instances
36
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8001
Per class
Predictive accuracy
0.8056
Prior entropy
1.585
Recall
0.8056
Per class
Relative absolute error
0.2929
Root mean prior squared error
0.4714
Root mean squared error
0.3601
Root relative squared error
0.7638
SciMark benchmark
907.4175