DEVELOPMENT... OpenML
Run
37507

Run 37507

Task 4458 (Supervised Classification) cloud 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)_I20
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
0.8774
Per class
Build CPU time
0.0223
Build memory
109543991.0074
F measure
0.8918
Per class
Kappa
0.7409
KB relative information score
614.3203
Mean absolute error
0.1881
Mean prior absolute error
0.4185
Number of instances
1080
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.892
Per class
Predictive accuracy
0.8917
Prior entropy
0.8813
Recall
0.8917
Per class
Relative absolute error
0.4495
Root mean prior squared error
0.4566
Root mean squared error
0.3288
Root relative squared error
0.72
SciMark benchmark
945.8425