DEVELOPMENT... OpenML
Run
39674

Run 39674

Task 206 (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
0.8408
Per class
Build CPU time
16.8392
Build memory
1110391617.7898
F measure
0.7512
Per class
Kappa
0.4411
KB relative information score
17564.3632
Mean absolute error
0.2413
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
0.752
Per class
Predictive accuracy
0.7586
Prior entropy
0.9315
Recall
0.7586
Per class
Relative absolute error
0.5324
Root mean prior squared error
0.476
Root mean squared error
0.4505
Root relative squared error
0.9464
SciMark benchmark
909.9339