DEVELOPMENT... OpenML
Run
36145

Run 36145

Task 4261 (Supervised Classification) analcatdata_cyyoung8092 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
0.7782
Per class
Build CPU time
0.0333
Build memory
717692275.233
F measure
0.81
Per class
Kappa
0.4774
KB relative information score
432.0038
Mean absolute error
0.1848
Mean prior absolute error
0.375
Number of instances
970
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8075
Per class
Predictive accuracy
0.8155
Prior entropy
0.8153
Recall
0.8155
Per class
Relative absolute error
0.4929
Root mean prior squared error
0.4315
Root mean squared error
0.4222
Root relative squared error
0.9783
SciMark benchmark
944.0386