机器学习 作业一

 

数据集信息

1.

数据集名称	Rice (Cammeo and Osmancik)
来源	Rice (Cammeo and Osmancik) - UCI Machine Learning Repository
数据集描述	A total of 3810 rice grain's images were taken for the two species, processed and feature inferences were made. 7 morphological features were obtained for each grain of rice.
样本数（大小）	3810	属性个数	7		属性值取值范围	Area Perimeter Major_Axis_Length Minor_Axis_Length Eccentricity Convex_Area Extent Class
标签数量	2	标签值\取值范围		Cammeo, Osmancik
样本举例	14634,501.1669921875,214.10678100585938,87.76876831054688,0.9121180725097656,14954,0.6392587890625,Cammeo 13176,458.34298706054688,199.333740234375,87.44833374023438,0.8768310546875,13168,0.6640625,Osmancik 15231,526.578799421875,229.7498779296875,85.09375,1469792726,0.9288800200830078,15617,0.5728955526855469,Cammeo 4656,494.3110046386719,206.0200653076172,91.73097722900391,0.8954049448760986,15072,0.615436315335489, Cammeo
面向任务	分类

 

 

 

2.

数据集名称	Iris
来源	Iris - UCI Machine Learning Repository
数据集描述	A small classic dataset from Fisher, 1936. One of the earliest known datasets used for evaluating classification methods.
样本数（大小）	150	属性个数	4		属性值取值范围	sepal length sepal width petal length petal width
标签数量	3	标签值\取值范围		Iris Setosa，Iris Versicolour，Iris Virginica
样本举例	5.0,3.4,1.5,0.2,Iris-setosa 4.4,2.9,1.4,0.2,Iris-setosa 4.9,3.1,1.5,0.1,Iris-setosa 5.4,3.7,1.5,0.2,Iris-setosa
面向任务	分类

 

 

3.

数据集名称	Raisin
来源	Raisin - UCI Machine Learning Repository
数据集描述	Images of the Kecimen and Besni raisin varieties were obtained with CVS. A total of 900 raisins were used, including 450 from both varieties, and 7 morphological features were extracted.
样本数（大小）	900	属性个数	7		属性值取值范围	实数、整数
标签数量	2	标签值\取值范围		Kecimen 葡萄干、Besni 葡萄干
样本举例	45928 286.5405586 208.7600423 0.684989217 47336 0.699599385 844.162 Kecimen 79408 352.1907699 290.8275329 0.56401133 81463 0.792771926 1073.251 Kecimen 49242 318.125407 200.12212 0.777351277 51368 0.658456354 881.836 Kecimen 42492 310.1460715 176.1314494 0.823098681 43904 0.665893562 823.796 Kecimen 60952 332.4554716 235.429835 0.706057518 62329 0.74359819 933.366 Kecimen 42256 323.1896072 172.5759261 0.845498789 44743 0.698030924 849.728 Kecimen 64380 366.9648423 227.7716147 0.784055626 66125 0.664375716 981.544 Kecimen 80437 449.4545811 232.3255064 0.856042518 84460 0.674235757 1176.305 Kecimen 43725 301.3222176 186.9506295 0.784258452 45021 0.697068248 818.873 Kecimen
面向任务	分类

 

 

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