DEVELOPMENT... OpenML
Run
41011

Run 41011

Task 4450 (Supervised Classification) mv 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
0.9998
Per class
Build CPU time
201.9858
Build memory
1376266978.3328
F measure
0.9977
Per class
Kappa
0.9951
KB relative information score
405623.8362
Mean absolute error
0.0024
Mean prior absolute error
0.4813
Number of instances
407680
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9977
Per class
Predictive accuracy
0.9977
Prior entropy
0.9729
Recall
0.9977
Per class
Relative absolute error
0.005
Root mean prior squared error
0.4906
Root mean squared error
0.0458
Root relative squared error
0.0934
SciMark benchmark
945.8914