DEVELOPMENT... OpenML
Run
39643

Run 39643

Task 3783 (Supervised Classification) fri_c2_500_50 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
0.9426
Per class
Build CPU time
5.5637
Build memory
1769229870.4
F measure
0.9118
Per class
Kappa
0.8173
KB relative information score
409.6614
Mean absolute error
0.0858
Mean prior absolute error
0.4839
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9119
Per class
Predictive accuracy
0.912
Prior entropy
0.9767
Recall
0.912
Per class
Relative absolute error
0.1774
Root mean prior squared error
0.4918
Root mean squared error
0.287
Root relative squared error
0.5836
SciMark benchmark
941.4198