DEVELOPMENT... OpenML
Run
38867

Run 38867

Task 3877 (Supervised Classification) analcatdata_dmft 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
0.5104
Per class
Build CPU time
0.1826
Build memory
382259109.2798
F measure
0.7175
Per class
Kappa
-0.005
KB relative information score
190.1327
Mean absolute error
0.2043
Mean prior absolute error
0.3138
Number of instances
797
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6485
Per class
Predictive accuracy
0.803
Prior entropy
0.7123
Recall
0.803
Per class
Relative absolute error
0.6511
Root mean prior squared error
0.3958
Root mean squared error
0.4399
Root relative squared error
1.1114
SciMark benchmark
945.0342