DEVELOPMENT... OpenML
Run
36824

Run 36824

Task 4354 (Supervised Classification) newton_hema 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
0.8378
Per class
Build CPU time
0.0432
Build memory
1382922378.16
F measure
0.7756
Per class
Kappa
0.5514
KB relative information score
768.0698
Mean absolute error
0.2258
Mean prior absolute error
0.5
Number of instances
1400
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7762
Per class
Predictive accuracy
0.7757
Prior entropy
1
Recall
0.7757
Per class
Relative absolute error
0.4517
Root mean prior squared error
0.5
Root mean squared error
0.4604
Root relative squared error
0.9208
SciMark benchmark
941.5665