| Issue | #Downvotes for this reason | By |
|---|
| sklearn.svm.classes.SVC(35) | C-Support Vector Classification. 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 dataset with more than a couple of 10000 samples. The multiclass support is handled according to a one-vs-one scheme. For details on the precise mathematical formulation of the provided kernel functions and how `gamma`, `coef0` and `degree` affect each other, see the corresponding section in the narrative documentation: :ref:`svm_kernels`. |
| sklearn.svm.classes.SVC(35)_C | 1.5949297239719284 |
| sklearn.svm.classes.SVC(35)_cache_size | 200 |
| sklearn.svm.classes.SVC(35)_class_weight | null |
| sklearn.svm.classes.SVC(35)_coef0 | 0.18691602631734172 |
| sklearn.svm.classes.SVC(35)_decision_function_shape | "ovr" |
| sklearn.svm.classes.SVC(35)_degree | 2 |
| sklearn.svm.classes.SVC(35)_gamma | 0.0027911807727516672 |
| sklearn.svm.classes.SVC(35)_kernel | "poly" |
| sklearn.svm.classes.SVC(35)_max_iter | -1 |
| sklearn.svm.classes.SVC(35)_probability | false |
| sklearn.svm.classes.SVC(35)_random_state | 44889 |
| sklearn.svm.classes.SVC(35)_shrinking | true |
| sklearn.svm.classes.SVC(35)_tol | 0.0013300790159165412 |
| sklearn.svm.classes.SVC(35)_verbose | false |
0.5969 ± 0.0056 Per class Cross-validation details (10-fold Crossvalidation)
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0.2154 Per class |
0.1938 ± 0.0111 Cross-validation details (10-fold Crossvalidation)
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0.2001 ± 0.0111 Cross-validation details (10-fold Crossvalidation)
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0.016 ± 0.0002 Cross-validation details (10-fold Crossvalidation)
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0.0198 Cross-validation details (10-fold Crossvalidation)
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1600 Per class Cross-validation details (10-fold Crossvalidation) |
0.3086 Per class |
0.2019 ± 0.011 Cross-validation details (10-fold Crossvalidation)
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6.6439 Cross-validation details (10-fold Crossvalidation)
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0.2019 ± 0.011 Per class Cross-validation details (10-fold Crossvalidation)
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0.8062 ± 0.0112 Cross-validation details (10-fold Crossvalidation)
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0.0995 Cross-validation details (10-fold Crossvalidation)
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0.1263 ± 0.0009 Cross-validation details (10-fold Crossvalidation)
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1.2698 ± 0.0088 Cross-validation details (10-fold Crossvalidation)
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