DEVELOPMENT... OpenML
Run
39002

Run 39002

Task 3640 (Supervised Classification) disclosure_x_bias 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
0.5309
Per class
Build CPU time
0.5427
Build memory
766761214.006
F measure
0.527
Per class
Kappa
0.0521
KB relative information score
32.1578
Mean absolute error
0.4755
Mean prior absolute error
0.4991
Number of instances
662
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5269
Per class
Predictive accuracy
0.5272
Prior entropy
0.9987
Recall
0.5272
Per class
Relative absolute error
0.9528
Root mean prior squared error
0.4996
Root mean squared error
0.6139
Root relative squared error
1.2289
SciMark benchmark
945.0342