乳腺癌预测-EDA-Models```breast-cancer-dataset.csvTe**无知 上传10KB 文件格式 csv 数据集 机器学习 研究假设:本研究假设患者的诊断特征之间存在显着关联,包括年龄、绝经状态、肿瘤大小、侵入性淋巴结的存在、受影响的乳房、转移状态、乳房象限、乳房状况病史及其乳房癌症诊断结果。数据收集和描述:213 名患者观察...
開發者ID:AFAgarap,項目名稱:wisconsin-breast-cancer,代碼行數:19,代碼來源:main_nearest_neighbor.py 示例3: setUp ▲點讚 6▼ # 需要導入模塊: from sklearn import datasets [as 別名]# 或者: from sklearn.datasets importload_breast_cancer[as 別名]defsetUp(self):self.roc_floor =0.9self.accuracy_f...
Breast Cancer Wisconsin (Diagnostic) Dataset https://www.kaggle.com/uciml/breast-cancer-wisconsin-data (access: 11 November 2022) Breast Cancer https://data.world/uci/breast-cancer (access: 11 November 2022) Seer Breast Cancer Data https://ieee-dataport.org/open-access/seer-breast-cancer-data...
3.1. Dataset Description To evaluate the proposed model, experimental data were obtained from the Breast Cancer Wisconsin subdirectory of the University of California Irvine Machine Learning repository, available at [31]; specifically, the datasets used were the original Wisconsin Breast Cancer dataset (...
Figure 9. Confusion matrix of CSVM on CBIS-DDSM dataset using proposed feature selection technique. Table 3. Classification results of proposed FPcRF-based feature selection for CBIS-DDSM dataset. 3.4. INbreast Breast Cancer Dataset Results Table 4 displays the outcomes of the INbreast breast c...
responder and non-responder, we identified 35 proteins with unique de-regulated abundance patterns that was conserved at multiple time points. We propose that this proof-of-concept approach can be used to identify proteins which have potential as predictors of metastatic breast cancer response to ...