DEVELOPMENT... OpenML
Run
40746

Run 40746

Task 1935 (Supervised Classification) vote Uploaded 29-10-2014 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
0.9621
Per class
Build CPU time
0.4489
Build memory
850171572.3329
F measure
0.9573
Per class
Kappa
0.9099
KB relative information score
3947.5565
Mean absolute error
0.0427
Mean prior absolute error
0.4742
Number of instances
4350
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9573
Per class
Predictive accuracy
0.9572
Prior entropy
0.9627
Recall
0.9572
Per class
Relative absolute error
0.09
Root mean prior squared error
0.4869
Root mean squared error
0.2048
Root relative squared error
0.4207
SciMark benchmark
941.4198