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validation_metrics.json
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76 lines (76 loc) · 50.8 KB
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{"acc": 0.52179185391254723, "f1": 0.59379544352884162, "auc": 0.51782998441411854, "est": "Pipeline(steps=[('vec', MinMaxScaler(copy=True, feature_range=(0, 1))), ('v2', FeatureUnion(n_jobs=1,\n transformer_list=[('vec', FunctionTransformer(accept_sparse=False, func=None, pass_y=False,\n validate=True)), ('km', KMeans(copy_x=True, init='k-means++', max_iter=300, n_clusters=10, n_init=10,\n n_jobs=1, precompute_distances='auto', random_state=None, tol=0.0001,\n verbose=0))],\n transformer_weights=None)), ('clf', GaussianNB())])", "end_time": 1450712654.660251, "start_time": 1450712648.234242}
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{"acc": 0.53056566088879376, "f1": 0.59913504294329045, "auc": 0.52675813218523393, "est": "Pipeline(steps=[('vec', MinMaxScaler(copy=True, feature_range=(0, 1))), ('v2', FeatureUnion(n_jobs=1,\n transformer_list=[('vec', FunctionTransformer(accept_sparse=False, func=None, pass_y=False,\n validate=True)), ('km', KMeans(copy_x=True, init='k-means++', max_iter=300, n_clusters=15, n_init=...c', reg_alpha=0, reg_lambda=1,\n scale_pos_weight=1, seed=484313, silent=True, subsample=0.1))])", "end_time": 1450714583.632207, "start_time": 1450714565.892815}
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