DEVELOPMENT... OpenML
Run
38002

Run 38002

Task 3771 (Supervised Classification) chscase_census3 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)_I20
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
0.4271
Per class
Build CPU time
0.2872
Build memory
320510412.8
F measure
0.4204
Per class
Kappa
-0.1554
KB relative information score
-49.8076
Mean absolute error
0.5581
Mean prior absolute error
0.4992
Number of instances
400
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4204
Per class
Predictive accuracy
0.4275
Prior entropy
0.9989
Recall
0.4275
Per class
Relative absolute error
1.118
Root mean prior squared error
0.4996
Root mean squared error
0.6923
Root relative squared error
1.3857
SciMark benchmark
938.0657