Run
502801

Run 502801

Task 1748 (Learning Curve) tic-tac-toe Uploaded 22-12-2015 by Jan van Rijn
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Flow

weka.KernelLogisticRegression_PolyKernel(4)Weka implementation of KernelLogisticRegression
weka.PolyKernel(9)_E1.0
weka.PolyKernel(9)_C250007
weka.KernelLogisticRegression_PolyKernel(4)_S1
weka.KernelLogisticRegression_PolyKernel(4)_Kweka.classifiers.functions.supportVector.PolyKernel
weka.KernelLogisticRegression_PolyKernel(4)_L0.01
weka.KernelLogisticRegression_PolyKernel(4)_P1
weka.KernelLogisticRegression_PolyKernel(4)_E1

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
0.9964 ± 0.0021
Per class
F measure
0.9832 ± 0.0135
Per class
Kappa
0.9627 ± 0.0301
KB relative information score
895.1029 ± 2.6668
Mean absolute error
0.0316 ± 0.011
Mean prior absolute error
0.453 ± 0.0013
Number of instances
958
Per class
OS information
[Oracle Corporation, 1.7.0_79, amd64, Linux, 3.13.0-71-generic]
Precision
0.9837 ± 0.0125
Per class
Predictive accuracy
0.9833 ± 0.0133
Prior entropy
0.9312
Recall
0.9833 ± 0.0133
Per class
Relative absolute error
0.0697 ± 0.0243
Root mean prior squared error
0.4759 ± 0.0014
Root mean squared error
0.1273 ± 0.0404
Root relative squared error
0.2674 ± 0.0849
SciMark benchmark
1849.5947
UserCPU time millis
1660
UserCPU time millis testing
60
UserCPU time millis training
1600