DEVELOPMENT... OpenML
Run
46284

Run 46284

Task 4594 (Supervised Classification) sylva_agnostic Uploaded 31-10-2014 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
0.9919
Per class
Build CPU time
1754.9256
Build memory
1119755768.288
F measure
0.9946
Per class
Kappa
0.954
KB relative information score
134252.424
Mean absolute error
0.0054
Mean prior absolute error
0.1156
Number of instances
143950
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9947
Per class
Predictive accuracy
0.9946
Prior entropy
0.3338
Recall
0.9946
Per class
Relative absolute error
0.0467
Root mean prior squared error
0.2403
Root mean squared error
0.0721
Root relative squared error
0.3
SciMark benchmark
928.3063