DEVELOPMENT... OpenML
Run
44030

Run 44030

Task 4621 (Supervised Classification) kc1-binary 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)_I160
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
0.7448
Per class
Build CPU time
7.931
Build memory
874730221.2083
F measure
0.7353
Per class
Kappa
0.4592
KB relative information score
644.2218
Mean absolute error
0.2661
Mean prior absolute error
0.4853
Number of instances
1450
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7392
Per class
Predictive accuracy
0.7338
Prior entropy
0.979
Recall
0.7338
Per class
Relative absolute error
0.5482
Root mean prior squared error
0.4925
Root mean squared error
0.5141
Root relative squared error
1.0439
SciMark benchmark
897.921