DEVELOPMENT... OpenML
Run
44946

Run 44946

Task 4582 (Supervised Classification) analcatdata_dmft 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
0.4929
Per class
Build CPU time
0.4257
Build memory
1213613154.3157
F measure
0.7159
Per class
Kappa
-0.0116
KB relative information score
1709.9137
Mean absolute error
0.2105
Mean prior absolute error
0.3138
Number of instances
7970
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6594
Per class
Predictive accuracy
0.798
Prior entropy
0.7123
Recall
0.798
Per class
Relative absolute error
0.6709
Root mean prior squared error
0.3958
Root mean squared error
0.4436
Root relative squared error
1.1207
SciMark benchmark
935.2997