DEVELOPMENT... OpenML
Run
44288

Run 44288

Task 3903 (Supervised Classification) pc3 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
0.7177
Per class
Build CPU time
34.5117
Build memory
1503810332.801
F measure
0.8771
Per class
Kappa
0.2433
KB relative information score
377.6436
Mean absolute error
0.1052
Mean prior absolute error
0.1842
Number of instances
1563
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8711
Per class
Predictive accuracy
0.8964
Prior entropy
0.478
Recall
0.8964
Per class
Relative absolute error
0.5712
Root mean prior squared error
0.3031
Root mean squared error
0.3154
Root relative squared error
1.0406
SciMark benchmark
941.2906