DEVELOPMENT... OpenML
Run
124392

Run 124392

Task 3888 (Supervised Classification) grub-damage Uploaded 23-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LWL_DecisionStump(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_LWL_DecisionStump(2)_I20
weka.AdaBoostM1_LWL_DecisionStump(2)_P100
weka.AdaBoostM1_LWL_DecisionStump(2)_S1
weka.AdaBoostM1_LWL_DecisionStump(2)_Wweka.classifiers.lazy.LWL
weka.LWL_DecisionStump(2)_Atrue
weka.LWL_DecisionStump(2)_K-1
weka.LWL_DecisionStump(2)_U0
weka.LWL_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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
0.7126
Per class
Build CPU time
0.7944
Build memory
33366604.6968
F measure
0.679
Per class
Kappa
0.2482
KB relative information score
35.8039
Mean absolute error
0.3162
Mean prior absolute error
0.4332
Number of instances
155
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6756
Per class
Predictive accuracy
0.6839
Prior entropy
0.9027
Recall
0.6839
Per class
Relative absolute error
0.7298
Root mean prior squared error
0.465
Root mean squared error
0.5387
Root relative squared error
1.1586
SciMark benchmark
929.5397