| sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.Conditiona
lImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,scaling=sklea
rn.preprocessing.data.StandardScaler,variencethreshold=sklearn.feature_sele
ction.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.S
VC)(2) | Automatically created scikit-learn flow. |
| openmlstudy14.preprocessing.ConditionalImputer(5)_axis | 0 |
| openmlstudy14.preprocessing.ConditionalImputer(5)_categorical_features | [0, 1, 2, 3, 4, 5] |
| openmlstudy14.preprocessing.ConditionalImputer(5)_copy | true |
| openmlstudy14.preprocessing.ConditionalImputer(5)_fill_empty | 0 |
| openmlstudy14.preprocessing.ConditionalImputer(5)_missing_values | "NaN" |
| openmlstudy14.preprocessing.ConditionalImputer(5)_strategy | "mean" |
| openmlstudy14.preprocessing.ConditionalImputer(5)_strategy_nominal | "most_frequent" |
| openmlstudy14.preprocessing.ConditionalImputer(5)_verbose | 0 |
| sklearn.preprocessing.data.OneHotEncoder(9)_categorical_features | [0, 1, 2, 3, 4, 5] |
| sklearn.preprocessing.data.OneHotEncoder(9)_dtype | {"oml-python:serialized_object": "type", "value": "np.float64"} |
| sklearn.preprocessing.data.OneHotEncoder(9)_handle_unknown | "ignore" |
| sklearn.preprocessing.data.OneHotEncoder(9)_n_values | "auto" |
| sklearn.preprocessing.data.OneHotEncoder(9)_sparse | true |
| sklearn.feature_selection.variance_threshold.VarianceThreshold(7)_threshold | 0.0 |
| sklearn.svm.classes.SVC(11)_C | 0.24515513858943533 |
| sklearn.svm.classes.SVC(11)_cache_size | 200 |
| sklearn.svm.classes.SVC(11)_class_weight | null |
| sklearn.svm.classes.SVC(11)_coef0 | 0.1371689248686745 |
| sklearn.svm.classes.SVC(11)_decision_function_shape | null |
| sklearn.svm.classes.SVC(11)_degree | 4 |
| sklearn.svm.classes.SVC(11)_gamma | 0.0002475610938286896 |
| sklearn.svm.classes.SVC(11)_kernel | "poly" |
| sklearn.svm.classes.SVC(11)_max_iter | -1 |
| sklearn.svm.classes.SVC(11)_probability | true |
| sklearn.svm.classes.SVC(11)_random_state | 52076 |
| sklearn.svm.classes.SVC(11)_shrinking | false |
| sklearn.svm.classes.SVC(11)_tol | 0.01798258509705842 |
| sklearn.svm.classes.SVC(11)_verbose | false |
| sklearn.preprocessing.data.StandardScaler(7)_copy | true |
| sklearn.preprocessing.data.StandardScaler(7)_with_mean | false |
| sklearn.preprocessing.data.StandardScaler(7)_with_std | true |