DEVELOPMENT... OpenML
Run
37630

Run 37630

Task 4475 (Supervised Classification) chscase_census4 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
0.4996
Per class
Build CPU time
0.2699
Build memory
425324557.68
F measure
0.5017
Per class
Kappa
0.0028
KB relative information score
26.5964
Mean absolute error
0.4961
Mean prior absolute error
0.4996
Number of instances
4000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5018
Per class
Predictive accuracy
0.503
Prior entropy
0.9994
Recall
0.503
Per class
Relative absolute error
0.9932
Root mean prior squared error
0.4998
Root mean squared error
0.6405
Root relative squared error
1.2816
SciMark benchmark
928.3063