DEVELOPMENT... OpenML
Run
145338

Run 145338

Task 3497 (Supervised Classification) grub-damage Uploaded 31-01-2015 by Felicia West
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Flow

weka.AdaBoostM1_BFTree(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_BFTree(2)_I10
weka.AdaBoostM1_BFTree(2)_P100
weka.AdaBoostM1_BFTree(2)_S1
weka.AdaBoostM1_BFTree(2)_Wweka.classifiers.trees.BFTree
weka.BFTree(2)_Ctrue
weka.BFTree(2)_M2
weka.BFTree(2)_N5
weka.BFTree(2)_PPOSTPRUNED
weka.BFTree(2)_S1

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.

22 Evaluation measures

Area under ROC curve
0.6658
Per class
F measure
0.4567
Per class
Kappa
0.253
KB relative information score
44.2714
Mean absolute error
0.2947
Mean prior absolute error
0.3638
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
0.4558
Per class
Predictive accuracy
0.4581
Prior entropy
1.9281
Recall
0.4581
Per class
Relative absolute error
0.8102
Root mean prior squared error
0.4263
Root mean squared error
0.4454
Root relative squared error
1.0446
SciMark benchmark
941.8057
UserCPU time millis
470
UserCPU time millis training
470