DEVELOPMENT... OpenML
Run
44341

Run 44341

Task 3917 (Supervised Classification) kc1 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
0.7824
Per class
Build CPU time
24.328
Build memory
1531827245.7051
F measure
0.8274
Per class
Kappa
0.2575
KB relative information score
673.8732
Mean absolute error
0.1443
Mean prior absolute error
0.2616
Number of instances
2109
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8328
Per class
Predictive accuracy
0.8582
Prior entropy
0.622
Recall
0.8582
Per class
Relative absolute error
0.5516
Root mean prior squared error
0.3615
Root mean squared error
0.3647
Root relative squared error
1.0087
SciMark benchmark
946.1004