| sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.Conditiona
lImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethres
hold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classif
ier=sklearn.svm.classes.SVC)(1) | Automatically created scikit-learn flow. |
| openmlstudy14.preprocessing.ConditionalImputer(2)_axis | 0 |
| openmlstudy14.preprocessing.ConditionalImputer(2)_categorical_features | [0, 78, 79, 80] |
| openmlstudy14.preprocessing.ConditionalImputer(2)_copy | true |
| openmlstudy14.preprocessing.ConditionalImputer(2)_fill_empty | 0 |
| openmlstudy14.preprocessing.ConditionalImputer(2)_missing_values | "NaN" |
| openmlstudy14.preprocessing.ConditionalImputer(2)_strategy | "most_frequent" |
| openmlstudy14.preprocessing.ConditionalImputer(2)_strategy_nominal | "most_frequent" |
| openmlstudy14.preprocessing.ConditionalImputer(2)_verbose | 0 |
| sklearn.preprocessing.data.OneHotEncoder(7)_categorical_features | [0, 78, 79, 80] |
| sklearn.preprocessing.data.OneHotEncoder(7)_dtype | {"oml-python:serialized_object": "type", "value": "np.float64"} |
| sklearn.preprocessing.data.OneHotEncoder(7)_handle_unknown | "ignore" |
| sklearn.preprocessing.data.OneHotEncoder(7)_n_values | "auto" |
| sklearn.preprocessing.data.OneHotEncoder(7)_sparse | true |
| sklearn.feature_selection.variance_threshold.VarianceThreshold(4)_threshold | 0.0 |
| sklearn.svm.classes.SVC(8)_C | 43.689202804865104 |
| sklearn.svm.classes.SVC(8)_cache_size | 200 |
| sklearn.svm.classes.SVC(8)_class_weight | null |
| sklearn.svm.classes.SVC(8)_coef0 | 0.2726730743359158 |
| sklearn.svm.classes.SVC(8)_decision_function_shape | null |
| sklearn.svm.classes.SVC(8)_degree | 5 |
| sklearn.svm.classes.SVC(8)_gamma | 0.042861899409170824 |
| sklearn.svm.classes.SVC(8)_kernel | "poly" |
| sklearn.svm.classes.SVC(8)_max_iter | -1 |
| sklearn.svm.classes.SVC(8)_probability | true |
| sklearn.svm.classes.SVC(8)_random_state | 8147 |
| sklearn.svm.classes.SVC(8)_shrinking | true |
| sklearn.svm.classes.SVC(8)_tol | 0.010179956056837922 |
| sklearn.svm.classes.SVC(8)_verbose | false |