DEVELOPMENT... OpenML
Run
121914

Run 121914

Task 3058 (Supervised Classification) grub-damage 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
0.5267
Per class
Build CPU time
32.764
Build memory
69045272
F measure
0.2842
Per class
Kappa
0.0467
KB relative information score
6.7448
Mean absolute error
0.3499
Mean prior absolute error
0.3627
Number of instances
51
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.3068
Per class
Predictive accuracy
0.2941
Prior entropy
1.9281
Recall
0.2941
Per class
Relative absolute error
0.9648
Root mean prior squared error
0.425
Root mean squared error
0.5896
Root relative squared error
1.3872
SciMark benchmark
936.1433