DEVELOPMENT... OpenML
Run
44734

Run 44734

Task 4529 (Supervised Classification) analcatdata_broadwaymult Uploaded 30-10-2014 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)_I160
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
0.8139
Per class
Build CPU time
0.8477
Build memory
1666896173.1004
F measure
0.7698
Per class
Kappa
0.5255
KB relative information score
1478.7325
Mean absolute error
0.2304
Mean prior absolute error
0.4853
Number of instances
2850
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7698
Per class
Predictive accuracy
0.7698
Prior entropy
0.9789
Recall
0.7698
Per class
Relative absolute error
0.4747
Root mean prior squared error
0.4926
Root mean squared error
0.4701
Root relative squared error
0.9544
SciMark benchmark
890.4487

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