DEVELOPMENT... OpenML
Run
36917

Run 36917

Task 3597 (Supervised Classification) baskball 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
0.7297
Per class
Build CPU time
0.0432
Build memory
93593601.5
F measure
0.7187
Per class
Kappa
0.438
KB relative information score
40.3201
Mean absolute error
0.29
Mean prior absolute error
0.4998
Number of instances
96
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.72
Per class
Predictive accuracy
0.7188
Prior entropy
0.9997
Recall
0.7188
Per class
Relative absolute error
0.5803
Root mean prior squared error
0.4999
Root mean squared error
0.5323
Root relative squared error
1.0648
SciMark benchmark
944.0386