DEVELOPMENT... OpenML
Run
37403

Run 37403

Task 3889 (Supervised Classification) sylva_agnostic 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
0.9925
Per class
Build CPU time
359.1725
Build memory
165025484.825
F measure
0.9937
Per class
Kappa
0.9456
KB relative information score
13261.0671
Mean absolute error
0.0064
Mean prior absolute error
0.1156
Number of instances
14395
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9938
Per class
Predictive accuracy
0.9936
Prior entropy
0.3338
Recall
0.9936
Per class
Relative absolute error
0.0553
Root mean prior squared error
0.2403
Root mean squared error
0.0775
Root relative squared error
0.3223
SciMark benchmark
938.2803