DEVELOPMENT... OpenML
Run
38041

Run 38041

Task 4551 (Supervised Classification) cmc 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)_I20
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
0.763
Per class
Build CPU time
0.4194
Build memory
742729112.9113
F measure
0.7076
Per class
Kappa
0.3998
KB relative information score
5914.1032
Mean absolute error
0.2918
Mean prior absolute error
0.4894
Number of instances
14730
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7151
Per class
Predictive accuracy
0.7149
Prior entropy
0.9846
Recall
0.7149
Per class
Relative absolute error
0.5963
Root mean prior squared error
0.4946
Root mean squared error
0.4926
Root relative squared error
0.9959
SciMark benchmark
938.0657