DEVELOPMENT... OpenML
Run
44827

Run 44827

Task 206 (Supervised Classification) BNG(tic-tac-toe) Uploaded 30-10-2014 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
0.8709
Per class
Build CPU time
83.2369
Build memory
1077863842.1873
F measure
0.7936
Per class
Kappa
0.538
KB relative information score
20572.4879
Mean absolute error
0.2096
Mean prior absolute error
0.4532
Number of instances
39366
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7939
Per class
Predictive accuracy
0.7978
Prior entropy
0.9315
Recall
0.7978
Per class
Relative absolute error
0.4624
Root mean prior squared error
0.476
Root mean squared error
0.409
Root relative squared error
0.8591
SciMark benchmark
945.8425