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说明:来自周志华《机器学习》p84表4.3的书中习题常用数据集,点击这里进行下载。数据如下:
编号,色泽,根蒂,敲声,纹理,脐部,触感,密度,含糖率,好瓜
1,青绿,蜷缩,浊响,清晰,凹陷,硬滑,0.697,0.46,是
2,乌黑,蜷缩,沉闷,清晰,凹陷,硬滑,0.774,0.376,是
3,乌黑,蜷缩,浊响,清晰,凹陷,硬滑,0.634,0.264,是
4,青绿,蜷缩,沉闷,清晰,凹陷,硬滑,0.608,0.318,是
5,浅白,蜷缩,浊响,清晰,凹陷,硬滑,0.556,0.215,是
6,青绿,稍蜷,浊响,清晰,稍凹,软粘,0.403,0.237,是
7,乌黑,稍蜷,浊响,稍糊,稍凹,软粘,0.481,0.149,是
8,乌黑,稍蜷,浊响,清晰,稍凹,硬滑,0.437,0.211,是
9,乌黑,稍蜷,沉闷,稍糊,稍凹,硬滑,0.666,0.091,否
10,青绿,硬挺,清脆,清晰,平坦,软粘,0.243,0.267,否
11,浅白,硬挺,清脆,模糊,平坦,硬滑,0.245,0.057,否
12,浅白,蜷缩,浊响,模糊,平坦,软粘,0.343,0.099,否
13,青绿,稍蜷,浊响,稍糊,凹陷,硬滑,0.639,0.161,否
14,浅白,稍蜷,沉闷,稍糊,凹陷,硬滑,0.657,0.198,否
15,乌黑,稍蜷,浊响,清晰,稍凹,软粘,0.36,0.37,否
16,浅白,蜷缩,浊响,模糊,平坦,硬滑,0.593,0.042,否
17,青绿,蜷缩,沉闷,稍糊,稍凹,硬滑,0.719,0.103,否
有时中文处理麻烦,我将数据替换成了英文,点击这里进行下载。要是不想处理string类型的数据,也可以将前6个离散属性替换成数字,label替换成1和0。我已经替换好了,在这里:
No. color root knock pattern umbilicus touch density suger label
1 1 1 1 1 1 1 0.697 0.46 1
2 2 1 2 1 1 1 0.774 0.376 1
3 2 1 1 1 1 1 0.634 0.264 1
4 1 1 2 1 1 1 0.608 0.318 1
5 3 1 1 1 1 1 0.556 0.215 1
6 1 2 1 1 2 2 0.403 0.237 1
7 2 2 1 2 2 2 0.481 0.149 1
8 2 2 1 1 2 1 0.437 0.211 1
9 2 2 2 2 2 1 0.666 0.091 0
10 1 3 3 1 3 2 0.243 0.267 0
11 3 3 3 3 3 1 0.245 0.057 0
12 3 1 1 3 3 2 0.343 0.099 0
13 1 2 1 2 1 1 0.639 0.161 0
14 3 2 2 2 1 1 0.657 0.198 0
15 2 2 1 1 2 2 0.36 0.37 0
16 3 1 1 3 3 1 0.593 0.042 0
17 1 1 2 2 2 1 0.719 0.103 0
其中数字含义如下:
属性 | 色泽 | 根蒂 | 敲声 | 纹理 | 脐部 | 触感 |
---|---|---|---|---|---|---|
1 | 青绿 | 蜷缩 | 浊响 | 清晰 | 凹陷 | 硬滑 |
2 | 乌黑 | 稍蜷 | 沉闷 | 稍糊 | 稍凹 | 软粘 |
3 | 浅白 | 硬挺 | 清脆 | 模糊 | 平坦 | / |