Run
1609395

Run 1609395

Task 49 (Supervised Classification) tic-tac-toe Uploaded 19-07-2016 by Jan van Rijn
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Flow

weka.HoeffdingTree(4)Geoff Hulten, Laurie Spencer, Pedro Domingos: Mining time-changing data streams. In: ACM SIGKDD Intl. Conf. on Knowledge Discovery and Data Mining, 97-106, 2001.
weka.HoeffdingTree(4)_L2
weka.HoeffdingTree(4)_S1
weka.HoeffdingTree(4)_E1.0E-7
weka.HoeffdingTree(4)_H0.05
weka.HoeffdingTree(4)_M0.01
weka.HoeffdingTree(4)_G200.0
weka.HoeffdingTree(4)_N0.0

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.

17 Evaluation measures

Area under ROC curve
0.7476
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6864
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.292
Cross-validation details (10-fold Crossvalidation)
KB relative information score
180.9892
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3682
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.453
Cross-validation details (10-fold Crossvalidation)
Number of instances
958
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6867
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7004
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9312
Cross-validation details (10-fold Crossvalidation)
Recall
0.7004
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8129
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4294
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9023
Cross-validation details (10-fold Crossvalidation)