DEVELOPMENT... OpenML
Run
38936

Run 38936

Task 3888 (Supervised Classification) grub-damage Uploaded 28-10-2014 by Felicia West
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Flow

weka.MultiBoostAB_ADTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_C3
weka.MultiBoostAB_ADTree(2)_P100
weka.MultiBoostAB_ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_I40
weka.MultiBoostAB_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
0.7185
Per class
Build CPU time
0.0908
Build memory
361627351.329
F measure
0.6822
Per class
Kappa
0.2509
KB relative information score
39.45
Mean absolute error
0.3032
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
0.6778
Per class
Predictive accuracy
0.6903
Prior entropy
0.9027
Recall
0.6903
Per class
Relative absolute error
0.6998
Root mean prior squared error
0.465
Root mean squared error
0.5368
Root relative squared error
1.1545
SciMark benchmark
938.4414