DEVELOPMENT... OpenML
Run
105645

Run 105645

Task 3888 (Supervised Classification) grub-damage Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_ADTree(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.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_I10
weka.AdaBoostM1_ADTree(2)_P100
weka.AdaBoostM1_ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_Wweka.classifiers.trees.ADTree

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
0.7386
Per class
Build CPU time
0.0339
Build memory
231426936.671
F measure
0.7071
Per class
Kappa
0.3173
KB relative information score
42.4222
Mean absolute error
0.2969
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
0.7051
Per class
Predictive accuracy
0.7097
Prior entropy
0.9027
Recall
0.7097
Per class
Relative absolute error
0.6852
Root mean prior squared error
0.465
Root mean squared error
0.4937
Root relative squared error
1.0619
SciMark benchmark
945.7844