DEVELOPMENT... OpenML
Run
44330

Run 44330

Task 3915 (Supervised Classification) kc3 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
0.5751
Per class
Build CPU time
8.3939
Build memory
1075744034.917
F measure
0.8735
Per class
Kappa
0.1675
KB relative information score
64.8978
Mean absolute error
0.1088
Mean prior absolute error
0.1716
Number of instances
458
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8628
Per class
Predictive accuracy
0.8908
Prior entropy
0.4551
Recall
0.8908
Per class
Relative absolute error
0.6338
Root mean prior squared error
0.2917
Root mean squared error
0.3281
Root relative squared error
1.125
SciMark benchmark
946.1004