DEVELOPMENT... OpenML
Run
41157

Run 41157

Task 3561 (Supervised Classification) profb 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
0.6886
Per class
Build CPU time
1.1762
Build memory
1422718466.0952
F measure
0.6661
Per class
Kappa
0.2282
KB relative information score
162.3654
Mean absolute error
0.3217
Mean prior absolute error
0.4446
Number of instances
672
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6644
Per class
Predictive accuracy
0.6845
Prior entropy
0.9188
Recall
0.6845
Per class
Relative absolute error
0.7235
Root mean prior squared error
0.4714
Root mean squared error
0.5311
Root relative squared error
1.1267
SciMark benchmark
945.8914