DEVELOPMENT... OpenML
Run
39187

Run 39187

Task 4612 (Supervised Classification) mc1 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
0.7821
Per class
Build CPU time
55.7425
Build memory
436558910.0101
F measure
0.9926
Per class
Kappa
0.3684
KB relative information score
32856.3475
Mean absolute error
0.0059
Mean prior absolute error
0.0144
Number of instances
94660
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9932
Per class
Predictive accuracy
0.9941
Prior entropy
0.0622
Recall
0.9941
Per class
Relative absolute error
0.4084
Root mean prior squared error
0.0845
Root mean squared error
0.0753
Root relative squared error
0.892
SciMark benchmark
945.8914