DEVELOPMENT... OpenML
Run
37336

Run 37336

Task 3916 (Supervised Classification) kc1-binary Uploaded 28-10-2014 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)_I20
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
0.7389
Per class
Build CPU time
0.7911
Build memory
34635806.1793
F measure
0.6835
Per class
Kappa
0.3493
KB relative information score
49.7424
Mean absolute error
0.314
Mean prior absolute error
0.4853
Number of instances
145
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6844
Per class
Predictive accuracy
0.6828
Prior entropy
0.979
Recall
0.6828
Per class
Relative absolute error
0.647
Root mean prior squared error
0.4925
Root mean squared error
0.5561
Root relative squared error
1.129
SciMark benchmark
936.9135