Run
290350

Run 290350

Task 1942 (Supervised Classification) BNG(tic-tac-toe) Uploaded 16-03-2015 by Joaquin Vanschoren
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Flow

weka.LBR(3)Zijian Zheng, G. Webb (2000). Lazy Learning of Bayesian Rules. Machine Learning. 4(1):53-84.

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
0.8608
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.7921
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.5352
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
155752.3783
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.2798
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4532
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
393660
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.792
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.7958
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9315
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.7958
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.6174
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.476
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.3761
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.79
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
908.2231
UserCPU time millis
4913910
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
4913880
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
30
Cross-validation details (10 times 10-fold Crossvalidation)