DEVELOPMENT... OpenML
Run
44337

Run 44337

Task 3916 (Supervised Classification) kc1-binary 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
0.7508
Per class
Build CPU time
6.1479
Build memory
1017173056.1104
F measure
0.739
Per class
Kappa
0.465
KB relative information score
65.5779
Mean absolute error
0.2624
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
0.7412
Per class
Predictive accuracy
0.7379
Prior entropy
0.979
Recall
0.7379
Per class
Relative absolute error
0.5406
Root mean prior squared error
0.4925
Root mean squared error
0.5119
Root relative squared error
1.0394
SciMark benchmark
946.1004