DEVELOPMENT... OpenML
Run
40451

Run 40451

Task 3653 (Supervised Classification) triazines 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)_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
0.8302
Per class
Build CPU time
2.5165
Build memory
789700806.1075
F measure
0.7886
Per class
Kappa
0.562
KB relative information score
105.0286
Mean absolute error
0.2082
Mean prior absolute error
0.4854
Number of instances
186
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7892
Per class
Predictive accuracy
0.7903
Prior entropy
0.979
Recall
0.7903
Per class
Relative absolute error
0.4289
Root mean prior squared error
0.4925
Root mean squared error
0.4515
Root relative squared error
0.9167
SciMark benchmark
945.8425