Run
6436

Run 6436

Task 1196 (Supervised Classification) iris Uploaded 19-07-2024 by Test Test
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Flow

sklearn.gaussian_process._gpc.GaussianProcessClassifier(1)Gaussian process classification (GPC) based on Laplace approximation. The implementation is based on Algorithm 3.1, 3.2, and 5.1 from [RW2006]_. Internally, the Laplace approximation is used for approximating the non-Gaussian posterior by a Gaussian. Currently, the implementation is restricted to using the logistic link function. For multi-class classification, several binary one-versus rest classifiers are fitted. Note that this class thus does not implement a true multi-class Laplace approximation.
sklearn.gaussian_process._gpc.GaussianProcessClassifier(1)_copy_X_traintrue
sklearn.gaussian_process._gpc.GaussianProcessClassifier(1)_kernelnull
sklearn.gaussian_process._gpc.GaussianProcessClassifier(1)_max_iter_predict100
sklearn.gaussian_process._gpc.GaussianProcessClassifier(1)_multi_class"one_vs_rest"
sklearn.gaussian_process._gpc.GaussianProcessClassifier(1)_n_jobsnull
sklearn.gaussian_process._gpc.GaussianProcessClassifier(1)_n_restarts_optimizer0
sklearn.gaussian_process._gpc.GaussianProcessClassifier(1)_optimizer"fmin_l_bfgs_b"
sklearn.gaussian_process._gpc.GaussianProcessClassifier(1)_random_state42880
sklearn.gaussian_process._gpc.GaussianProcessClassifier(1)_warm_startfalse

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

18 Evaluation measures

Area under ROC curve
0.9975 ± 0.0042
Per class
F measure
0.9667 ± 0.0355
Per class
Kappa
0.95 ± 0.0527
KB relative information score
0.7362 ± 0.0348
Mean absolute error
0.1603 ± 0.016
Mean prior absolute error
0.4444
Weighted recall
0.9667 ± 0.0351
Number of instances
150
Per class
Precision
0.9668 ± 0.0293
Per class
Predictive accuracy
0.9667 ± 0.0351
Prior entropy
1.585
Relative absolute error
0.3607 ± 0.036
Root mean prior squared error
0.4714
Root mean squared error
0.1982 ± 0.0249
Root relative squared error
0.4205 ± 0.0527
Unweighted recall
0.9667 ± 0.0351