DEVELOPMENT... OpenML
Run
41265

Run 41265

Task 4595 (Supervised Classification) ada_prior Uploaded 29-10-2014 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)_I80
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
0.8952
Per class
Build CPU time
12.7751
Build memory
231424177.2973
F measure
0.8434
Per class
Kappa
0.5685
KB relative information score
24670.561
Mean absolute error
0.154
Mean prior absolute error
0.3732
Number of instances
45620
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8425
Per class
Predictive accuracy
0.8487
Prior entropy
0.8085
Recall
0.8487
Per class
Relative absolute error
0.4128
Root mean prior squared error
0.4319
Root mean squared error
0.3672
Root relative squared error
0.8501
SciMark benchmark
934.1739