DEVELOPMENT... OpenML
Run
39810

Run 39810

Task 4579 (Supervised Classification) ecoli 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
0.9596
Per class
Build CPU time
0.3811
Build memory
776321973.3548
F measure
0.9566
Per class
Kappa
0.9112
KB relative information score
3059.0293
Mean absolute error
0.0433
Mean prior absolute error
0.489
Number of instances
3360
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9566
Per class
Predictive accuracy
0.9565
Prior entropy
0.9842
Recall
0.9565
Per class
Relative absolute error
0.0884
Root mean prior squared error
0.4944
Root mean squared error
0.2073
Root relative squared error
0.4194
SciMark benchmark
944.7154

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