DEVELOPMENT... OpenML
Run
41008

Run 41008

Task 206 (Supervised Classification) BNG(tic-tac-toe) 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)_I80
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
0.8591
Per class
Build CPU time
23.0784
Build memory
1770894339.7413
F measure
0.7771
Per class
Kappa
0.5003
KB relative information score
19412.6517
Mean absolute error
0.2219
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
0.7777
Per class
Predictive accuracy
0.7825
Prior entropy
0.9315
Recall
0.7825
Per class
Relative absolute error
0.4895
Root mean prior squared error
0.476
Root mean squared error
0.4242
Root relative squared error
0.8911
SciMark benchmark
939.7104