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import pandas as pd# 提供文件的绝对路径file_path = r'D:\BP_R_Data.xlsx'# 尝试读取Excel文件try: df = pd.read_excel(file_path, sheet_name='Sheet1', engine='openpyxl') 阅读全文
posted @ 2024-12-29 15:04
liuxuechao
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import pandas as pdimport numpy as npfrom sklearn.model_selection import train_test_splitfrom sklearn.ensemble import RandomForestClassifierfrom sklea 阅读全文
posted @ 2024-12-29 15:03
liuxuechao
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import pandas as pdimport numpy as npfrom sklearn.model_selection import train_test_splitfrom sklearn.ensemble import RandomForestClassifierfrom sklea 阅读全文
posted @ 2024-12-29 15:03
liuxuechao
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import pandas as pdimport seaborn as snsimport matplotlib.pyplot as plt# 提供文件的绝对路径file_path = r'D:\BP_R_Data.xlsx' # 请替换为实际路径# 尝试读取Excel文件try: df = pd 阅读全文
posted @ 2024-12-29 15:02
liuxuechao
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import numpy as npfrom sklearn import datasetsfrom sklearn.ensemble import RandomForestClassifierfrom sklearn.model_selection import train_test_split, 阅读全文
posted @ 2024-12-29 15:02
liuxuechao
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import numpy as npfrom sklearn import datasetsfrom sklearn.cluster import KMeansfrom sklearn.model_selection import train_test_split, cross_val_score, 阅读全文
posted @ 2024-12-29 15:02
liuxuechao
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iris = load_iris()X, y = iris.data, iris.targetscaler = StandardScaler().fit(X)X_scaled = scaler.transform(X)# 分割数据集为训练集和测试集X_train, X_test, y_train, 阅读全文
posted @ 2024-12-29 15:01
liuxuechao
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from sklearn.datasets import load_irisfrom sklearn.model_selection import train_test_split, cross_validatefrom sklearn.preprocessing import StandardSc 阅读全文
posted @ 2024-12-29 15:01
liuxuechao
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import numpy as npfrom sklearn import datasetsfrom sklearn.model_selection import train_test_split, StratifiedKFoldfrom sklearn.svm import SVCfrom skl 阅读全文
posted @ 2024-12-29 15:01
liuxuechao
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from sklearn.datasets import load_irisfrom sklearn.model_selection import train_test_split, cross_val_scorefrom sklearn.tree import DecisionTreeClassi 阅读全文
posted @ 2024-12-29 15:00
liuxuechao
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