DEVELOPMENT... OpenML
Run
38999

Run 38999

Task 55 (Supervised Classification) vote 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 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
0.963
Per class
Build CPU time
0.2391
Build memory
470307368.1839
F measure
0.9563
Per class
Kappa
0.908
KB relative information score
393.3735
Mean absolute error
0.0444
Mean prior absolute error
0.4742
Number of instances
435
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9564
Per class
Predictive accuracy
0.9563
Prior entropy
0.9627
Recall
0.9563
Per class
Relative absolute error
0.0935
Root mean prior squared error
0.4869
Root mean squared error
0.208
Root relative squared error
0.4272
SciMark benchmark
941.4198