Run
10559839

Run 10559839

Task 4745 (Supervised Regression) libras_move Uploaded 24-03-2021 by Tan Zheng
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Flow

sklearn.svm._classes.SVR(1)Epsilon-Support Vector Regression. The free parameters in the model are C and epsilon. The implementation is based on libsvm. The fit time complexity is more than quadratic with the number of samples which makes it hard to scale to datasets with more than a couple of 10000 samples. For large datasets consider using :class:`sklearn.svm.LinearSVR` or :class:`sklearn.linear_model.SGDRegressor` instead, possibly after a :class:`sklearn.kernel_approximation.Nystroem` transformer.
sklearn.svm._classes.SVR(1)_C1.0
sklearn.svm._classes.SVR(1)_cache_size200
sklearn.svm._classes.SVR(1)_coef00.0
sklearn.svm._classes.SVR(1)_degree3
sklearn.svm._classes.SVR(1)_epsilon0.1
sklearn.svm._classes.SVR(1)_gamma"scale"
sklearn.svm._classes.SVR(1)_kernel"rbf"
sklearn.svm._classes.SVR(1)_max_iter-1
sklearn.svm._classes.SVR(1)_shrinkingtrue
sklearn.svm._classes.SVR(1)_tol0.001
sklearn.svm._classes.SVR(1)_verbosefalse

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.

7 Evaluation measures

3.7333 ± 0.3417
Cross-validation details (10 times 10-fold Crossvalidation)
3600
Cross-validation details (10 times 10-fold Crossvalidation)
4.3205 ± 0.3127
Cross-validation details (10 times 10-fold Crossvalidation)