DEVELOPMENT... OpenML
Run
39455

Run 39455

Task 4509 (Supervised Classification) lowbwt 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
0.8489
Per class
Build CPU time
0.1218
Build memory
800230442.3704
F measure
0.8109
Per class
Kappa
0.6208
KB relative information score
1165.4222
Mean absolute error
0.1913
Mean prior absolute error
0.4989
Number of instances
1890
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8133
Per class
Predictive accuracy
0.8116
Prior entropy
0.9984
Recall
0.8116
Per class
Relative absolute error
0.3834
Root mean prior squared error
0.4994
Root mean squared error
0.4294
Root relative squared error
0.8598
SciMark benchmark
945.0342