Run
578406

Run 578406

Task 49 (Supervised Classification) tic-tac-toe Uploaded 03-06-2016 by Jan van Rijn
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Flow

weka.ClassificationViaRegression_M5P(3)E. Frank, Y. Wang, S. Inglis, G. Holmes, I.H. Witten (1998). Using model trees for classification. Machine Learning. 32(1):63-76.
weka.M5P(4)_M4.0
weka.ClassificationViaRegression_M5P(3)_Wweka.classifiers.trees.M5P

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
0.9875
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9572
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9053
Cross-validation details (10-fold Crossvalidation)
KB relative information score
732.4455
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.12
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)
OS information
[Oracle Corporation, 1.8.0_91, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
Precision
0.9571
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9572
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9312
Cross-validation details (10-fold Crossvalidation)
Recall
0.9572
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2649
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2052
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4312
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1288.3831
UserCPU time millis
150
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
140
Cross-validation details (10-fold Crossvalidation)