DEVELOPMENT... OpenML
Run
40833

Run 40833

Task 4260 (Supervised Classification) prnn_synth Uploaded 29-10-2014 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
0.8693
Per class
Build CPU time
0.2382
Build memory
1037977602.72
F measure
0.8364
Per class
Kappa
0.6728
KB relative information score
1681.558
Mean absolute error
0.1637
Mean prior absolute error
0.5
Number of instances
2500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8366
Per class
Predictive accuracy
0.8364
Prior entropy
1
Recall
0.8364
Per class
Relative absolute error
0.3275
Root mean prior squared error
0.5
Root mean squared error
0.3981
Root relative squared error
0.7962
SciMark benchmark
942.9632

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