DEVELOPMENT... OpenML
Run
39645

Run 39645

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)_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
0.7618
Per class
Build CPU time
0.8699
Build memory
1817561103.0094
F measure
0.7085
Per class
Kappa
0.4019
KB relative information score
5929.3116
Mean absolute error
0.2913
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
0.7176
Per class
Predictive accuracy
0.7166
Prior entropy
0.9846
Recall
0.7166
Per class
Relative absolute error
0.5953
Root mean prior squared error
0.4946
Root mean squared error
0.4942
Root relative squared error
0.9992
SciMark benchmark
941.4198