DEVELOPMENT... OpenML
Run
119999

Run 119999

Task 3888 (Supervised Classification) grub-damage 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
0.6697
Per class
Build CPU time
1.1747
Build memory
561275141.6258
F measure
0.6168
Per class
Kappa
0.124
KB relative information score
9.7324
Mean absolute error
0.3811
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
0.6214
Per class
Predictive accuracy
0.6129
Prior entropy
0.9027
Recall
0.6129
Per class
Relative absolute error
0.8795
Root mean prior squared error
0.465
Root mean squared error
0.6046
Root relative squared error
1.3003
SciMark benchmark
937.6343