Thefollowing articledemonstrates an improvement to the accuracy of the tree classifier C4.5 using PCA. Running an experiment on a medical dataset from UCI Machine Learning repository, the authors we able to improve model accuracy from 86% to 91% while precision dramatically improved from 33% to 1...
we use the same datasets from the UCI machine learning repository as were used in previous research on generalization and suppression. Our results demonstrate that even modest privacy gains require almost complete destruction of the data-mining utility. 对于我们的实验性评估,我们使用同样数据集从UCI机器...
Since we will work with the wine dataset, you can obtain it from the UCI machine learning repository. The scikit-learn library in Python provides a wrapper function for downloading it: wine_info = load_wine() X = pd.DataFrame(wine_info.data, columns=wine_info.feature_names) y = pd.Cate...
sanitization work , we used the same data for our experiments: the 45,222-record Adult database from the UCI Machine Learning Repository [1], described in table 1. 使能与早先微数据清扫干净工作的直接比较, 我们为我们的实验使用了同样数据: 45,222记录大人 数据库从UCI机器学习贮藏库 (1),被描述...
vessel prediction from AIS data. the data corresponds to an observation of a single maritime vessel at a single point in time(more like a position report). We have to track the movements of the different vessels given these reports over time. Do you think Hierarchical clustering is the best...
Here, we will use the Iris flower dataset, which is a multivariate and one of the famous datasets available at the UCI machine learning repository. In our data set, we don’t have any missing or misspelled values so we can directly move on to the importing process. Let’s read ou...
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We use five different classifiers (J48, Naive Bayes, Support Vector Machine, k-Nearest Neighbor, Random Forest) and 10 benchmark datasets from the UCI machine learning repository and three publicly available image datasets. Our results can be used to guide the development of noise handling ...
aTo enable direct comparison with previous microdata sanitization work , we used the same data for our experiments: the 45,222-record Adult database from the UCI Machine Learning Repository [1], described in table 1. 使能与早先微数据清扫干净工作的直接比较, 我们为我们的实验使用了同样数据: 45,...
sanitization work , we used the same data for our experiments: the 45,222-record Adult database from the UCI Machine Learning Repository [1], described in table 1. 使能与早先微数据清扫干净工作的直接比较, 我们为我们的实验使用了同样数据: 45,222记录大人 数据库从UCI机器学习贮藏库 (1),被描述...