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8807274
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Run 8807274
Task 59 (Supervised Classification)
iris
Uploaded 22-01-2018 by
Jan van Rijn
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Evaluation Engine Exception: Run description file not present.
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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
[]
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
"median"
openmlstudy14.preprocessing.ConditionalImputer(6)_strategy_nominal
"most_frequent"
openmlstudy14.preprocessing.ConditionalImputer(6)_verbose
0
sklearn.preprocessing.data.OneHotEncoder(18)_categorical_features
[]
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
0.056933200415554164
sklearn.svm.classes.SVC(17)_cache_size
200
sklearn.svm.classes.SVC(17)_class_weight
null
sklearn.svm.classes.SVC(17)_coef0
-0.2930943677090043
sklearn.svm.classes.SVC(17)_decision_function_shape
null
sklearn.svm.classes.SVC(17)_degree
5
sklearn.svm.classes.SVC(17)_gamma
0.0257754720608995
sklearn.svm.classes.SVC(17)_kernel
"rbf"
sklearn.svm.classes.SVC(17)_max_iter
-1
sklearn.svm.classes.SVC(17)_probability
true
sklearn.svm.classes.SVC(17)_random_state
39110
sklearn.svm.classes.SVC(17)_shrinking
false
sklearn.svm.classes.SVC(17)_tol
0.0466756850010514
sklearn.svm.classes.SVC(17)_verbose
false
Result files
0 Evaluation measures