DEVELOPMENT... OpenML
Run
38642

Run 38642

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)_I40
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
0.718
Per class
Build CPU time
0.1224
Build memory
810112193.25
F measure
0.6974
Per class
Kappa
0.3969
KB relative information score
38.3124
Mean absolute error
0.3003
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
0.7007
Per class
Predictive accuracy
0.6979
Prior entropy
0.9997
Recall
0.6979
Per class
Relative absolute error
0.6009
Root mean prior squared error
0.4999
Root mean squared error
0.5427
Root relative squared error
1.0856
SciMark benchmark
939.9671