| 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)(1) | Automatically created scikit-learn flow. |
| openmlstudy14.preprocessing.ConditionalImputer(6)_axis | 0 |
| openmlstudy14.preprocessing.ConditionalImputer(6)_categorical_features | [0, 1, 2, 3, 4, 5] |
| openmlstudy14.preprocessing.ConditionalImputer(6)_copy | true |
| openmlstudy14.preprocessing.ConditionalImputer(6)_fill_empty | 0 |
| openmlstudy14.preprocessing.ConditionalImputer(6)_missing_values | "NaN" |
| openmlstudy14.preprocessing.ConditionalImputer(6)_strategy | "mean" |
| openmlstudy14.preprocessing.ConditionalImputer(6)_strategy_nominal | "most_frequent" |
| openmlstudy14.preprocessing.ConditionalImputer(6)_verbose | 0 |
| sklearn.preprocessing.data.OneHotEncoder(18)_categorical_features | [0, 1, 2, 3, 4, 5] |
| sklearn.preprocessing.data.OneHotEncoder(18)_dtype | {"oml-python:serialized_object": "type", "value": "np.float64"} |
| sklearn.preprocessing.data.OneHotEncoder(18)_handle_unknown | "ignore" |
| sklearn.preprocessing.data.OneHotEncoder(18)_n_values | "auto" |
| sklearn.preprocessing.data.OneHotEncoder(18)_sparse | true |
| sklearn.feature_selection.variance_threshold.VarianceThreshold(12)_threshold | 0.0 |
| sklearn.preprocessing.data.StandardScaler(6)_copy | true |
| sklearn.preprocessing.data.StandardScaler(6)_with_mean | false |
| sklearn.preprocessing.data.StandardScaler(6)_with_std | true |
| sklearn.svm.classes.SVC(17)_C | 64.7014651178324 |
| sklearn.svm.classes.SVC(17)_cache_size | 200 |
| sklearn.svm.classes.SVC(17)_class_weight | null |
| sklearn.svm.classes.SVC(17)_coef0 | -0.6035097008244812 |
| sklearn.svm.classes.SVC(17)_decision_function_shape | null |
| sklearn.svm.classes.SVC(17)_degree | 3 |
| sklearn.svm.classes.SVC(17)_gamma | 1.8514558717345189 |
| sklearn.svm.classes.SVC(17)_kernel | "poly" |
| sklearn.svm.classes.SVC(17)_max_iter | -1 |
| sklearn.svm.classes.SVC(17)_probability | true |
| sklearn.svm.classes.SVC(17)_random_state | 7345 |
| sklearn.svm.classes.SVC(17)_shrinking | true |
| sklearn.svm.classes.SVC(17)_tol | 0.038735068066806745 |
| sklearn.svm.classes.SVC(17)_verbose | false |