DEVELOPMENT... OpenML
Run
168015

Run 168015

Task 49 (Supervised Classification) tic-tac-toe Uploaded 19-02-2015 by Felicia West
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Flow

weka.MultiBoostAB_NaiveBayes(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_NaiveBayes(2)_C3
weka.MultiBoostAB_NaiveBayes(2)_P100
weka.MultiBoostAB_NaiveBayes(2)_S1
weka.MultiBoostAB_NaiveBayes(2)_I20
weka.MultiBoostAB_NaiveBayes(2)_Wweka.classifiers.bayes.NaiveBayes

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.

22 Evaluation measures

Area under ROC curve
0.8895
Per class
F measure
0.7512
Per class
Kappa
0.4378
KB relative information score
451.7532
Mean absolute error
0.2276
Mean prior absolute error
0.453
Number of instances
958
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7596
Per class
Predictive accuracy
0.7641
Prior entropy
0.9312
Recall
0.7641
Per class
Relative absolute error
0.5024
Root mean prior squared error
0.4759
Root mean squared error
0.4409
Root relative squared error
0.9264
SciMark benchmark
945.6434
UserCPU time millis
100
UserCPU time millis testing
30
UserCPU time millis training
70