DEVELOPMENT... OpenML
Run
40563

Run 40563

Task 4706 (Supervised Classification) pc1_req 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)_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
0.6068
Per class
Build CPU time
0.5593
Build memory
993224581.12
F measure
0.6544
Per class
Kappa
0.2017
KB relative information score
705.341
Mean absolute error
0.3365
Mean prior absolute error
0.4455
Number of instances
3200
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.664
Per class
Predictive accuracy
0.6881
Prior entropy
0.9204
Recall
0.6881
Per class
Relative absolute error
0.7554
Root mean prior squared error
0.4718
Root mean squared error
0.5335
Root relative squared error
1.1307
SciMark benchmark
941.9633