DEVELOPMENT... OpenML
Run
36875

Run 36875

Task 4360 (Supervised Classification) elusage 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
0.9089
Per class
Build CPU time
0.0079
Build memory
1394692756.6255
F measure
0.8741
Per class
Kappa
0.7434
KB relative information score
410.7036
Mean absolute error
0.1235
Mean prior absolute error
0.4922
Number of instances
550
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8746
Per class
Predictive accuracy
0.8745
Prior entropy
0.9891
Recall
0.8745
Per class
Relative absolute error
0.251
Root mean prior squared error
0.4959
Root mean squared error
0.3336
Root relative squared error
0.6726
SciMark benchmark
942.6202