Run
161757

Run 161757

Task 1748 (Learning Curve) tic-tac-toe Uploaded 16-02-2015 by Jan van Rijn
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  • study_2 study_37 weka weka_3.7.12
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Flow

weka.IB1(1)D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.

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
0.802 ± 0.0472
Per class
F measure
0.8154 ± 0.0409
Per class
Kappa
0.5955 ± 0.0901
KB relative information score
0.5725 ± 0.0942
Mean absolute error
0.1858 ± 0.041
Mean prior absolute error
0.453 ± 0.0013
Number of instances
958
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.16.0-29-generic]
Precision
0.8173 ± 0.0419
Per class
Predictive accuracy
0.8142 ± 0.041
Prior entropy
0.931 ± 0.0039
Recall
0.8142 ± 0.041
Per class
Relative absolute error
0.4102 ± 0.0904
Root mean prior squared error
0.4759 ± 0.0014
Root mean squared error
0.431 ± 0.0489
Root relative squared error
0.9058 ± 0.1024
SciMark benchmark
1060.8407
UserCPU time millis
260
UserCPU time millis testing
260