Run
235375

Run 235375

Task 1813 (Supervised Classification) tic-tac-toe Uploaded 02-03-2015 by Joaquin Vanschoren
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Flow

weka.Id3(3)R. Quinlan (1986). Induction of decision trees. Machine Learning. 1(1):81-106.

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
0.8193
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
F measure
0.8324
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Kappa
0.6319
Cross-validation details (5 times 2-fold Crossvalidation)
KB relative information score
2932.2125
Cross-validation details (5 times 2-fold Crossvalidation)
Mean absolute error
0.1685
Cross-validation details (5 times 2-fold Crossvalidation)
Mean prior absolute error
0.453
Cross-validation details (5 times 2-fold Crossvalidation)
Number of instances
4790
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8336
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Predictive accuracy
0.8315
Cross-validation details (5 times 2-fold Crossvalidation)
Prior entropy
0.9312
Cross-validation details (5 times 2-fold Crossvalidation)
Recall
0.8315
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Relative absolute error
0.3719
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean squared error
0.4105
Cross-validation details (5 times 2-fold Crossvalidation)
Root relative squared error
0.8625
Cross-validation details (5 times 2-fold Crossvalidation)
SciMark benchmark
932.0242
UserCPU time millis
10
Cross-validation details (5 times 2-fold Crossvalidation)
UserCPU time millis training
10
Cross-validation details (5 times 2-fold Crossvalidation)