DEVELOPMENT... OpenML
Run
40540

Run 40540

Task 3672 (Supervised Classification) kin8nm 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)_I80
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
0.898
Per class
Build CPU time
29.0883
Build memory
1496299259.5303
F measure
0.8064
Per class
Kappa
0.6128
KB relative information score
4953.36
Mean absolute error
0.1985
Mean prior absolute error
0.4998
Number of instances
8192
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8066
Per class
Predictive accuracy
0.8064
Prior entropy
0.9998
Recall
0.8064
Per class
Relative absolute error
0.3972
Root mean prior squared error
0.4999
Root mean squared error
0.4077
Root relative squared error
0.8156
SciMark benchmark
931.9798

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