DEVELOPMENT... OpenML
Run
36425

Run 36425

Task 4573 (Supervised Classification) glass 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)_I10
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
0.857
Per class
Build CPU time
0.0803
Build memory
997995257.2262
F measure
0.811
Per class
Kappa
0.5832
KB relative information score
1223.2764
Mean absolute error
0.1897
Mean prior absolute error
0.4584
Number of instances
2140
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8109
Per class
Predictive accuracy
0.8136
Prior entropy
0.9397
Recall
0.8136
Per class
Relative absolute error
0.4137
Root mean prior squared error
0.4786
Root mean squared error
0.4144
Root relative squared error
0.8659
SciMark benchmark
941.8931

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