DEVELOPMENT... OpenML
Run
39600

Run 39600

Task 1942 (Supervised Classification) BNG(tic-tac-toe) 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
0.8416
Per class
Build CPU time
24.1872
Build memory
1432246210.3543
F measure
0.753
Per class
Kappa
0.4451
KB relative information score
176441.5579
Mean absolute error
0.2405
Mean prior absolute error
0.4532
Number of instances
393660
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7538
Per class
Predictive accuracy
0.7602
Prior entropy
0.9315
Recall
0.7602
Per class
Relative absolute error
0.5307
Root mean prior squared error
0.476
Root mean squared error
0.4498
Root relative squared error
0.9449
SciMark benchmark
909.9339