breastw: The Breast Wisconsin dataset
In dprep: Data Pre-Processing and Visualization Functions for Classification
Description
Usage
Format
Details
Source
Examples
Description
This is the Breast Wisconsin dataset from the UCI Machine Learning Repository.
This dataset has 699 instances, sixteen of them with missing values, 9 predictor attributes
and one class attribute assuming values 1(benign tumor) and 2(malign tumor).
Usage
1
Format
A data frame with 699 observations on the following 10 variables.
- V1
Clump Thickness
- V2
Uniformity of Cell Size
- V3
Uniformity of Cell Shape
- V4
Marginal Adhesion
- V5
Single Epithelial Cell Size
- V6
Bare Nuclei
- V7
Bland Chromatin
- V8
Normal Nucleoli
- V9
Mitoses
- V10
Class: 1 for benign, 2 for Malign
Details
All the features assume values in the range 1-10. The dataset
contains 699 observations with 16 of them having missing values.
It is recommended to impute these values been before further analysis.
Source
The UCI Machine Learning Database Repository at:
-
-
Examples
1
2
3
Example output
Warning messages:
1: In rgl.init(initValue, onlyNULL) : RGL: unable to open X11 display
2: 'rgl_init' failed, running with rgl.useNULL = TRUE
3: .onUnload failed in unloadNamespace() for 'rgl', details:
call: fun(...)
error: object 'rgl_quit' not found
Summary of imputations using substitution of mean (mode for nominal features):
Row Column Class Imput.value
[1,] 24 6 2 7.627615
[2,] 41 6 1 1.346847
[3,] 140 6 1 1.346847
[4,] 146 6 1 1.346847
[5,] 159 6 1 1.346847
[6,] 165 6 1 1.346847
[7,] 236 6 1 1.346847
[8,] 250 6 1 1.346847
[9,] 276 6 1 1.346847
[10,] 293 6 2 7.627615
[11,] 295 6 1 1.346847
[12,] 298 6 1 1.346847
[13,] 316 6 1 1.346847
[14,] 322 6 1 1.346847
[15,] 412 6 1 1.346847
[16,] 618 6 1 1.346847
Total number of imputations per class:
1 2
14 2
Total number of imputations: 16
V1 V2 V3 V4 V5 V6 V7 V8 V9 V10
1 5 1 1 1 2 1.000000 3 1 1 1
2 5 4 4 5 7 10.000000 3 2 1 1
3 3 1 1 1 2 2.000000 3 1 1 1
4 6 8 8 1 3 4.000000 3 7 1 1
5 4 1 1 3 2 1.000000 3 1 1 1
6 8 10 10 8 7 10.000000 9 7 1 2
7 1 1 1 1 2 10.000000 3 1 1 1
8 2 1 2 1 2 1.000000 3 1 1 1
9 2 1 1 1 2 1.000000 1 1 5 1
10 4 2 1 1 2 1.000000 2 1 1 1
11 1 1 1 1 1 1.000000 3 1 1 1
12 2 1 1 1 2 1.000000 2 1 1 1
13 5 3 3 3 2 3.000000 4 4 1 2
14 1 1 1 1 2 3.000000 3 1 1 1
15 8 7 5 10 7 9.000000 5 5 4 2
16 7 4 6 4 6 1.000000 4 3 1 2
17 4 1 1 1 2 1.000000 2 1 1 1
18 4 1 1 1 2 1.000000 3 1 1 1
19 10 7 7 6 4 10.000000 4 1 2 2
20 6 1 1 1 2 1.000000 3 1 1 1
21 7 3 2 10 5 10.000000 5 4 4 2
22 10 5 5 3 6 7.000000 7 10 1 2
23 3 1 1 1 2 1.000000 2 1 1 1
24 8 4 5 1 2 7.627615 7 3 1 2
25 1 1 1 1 2 1.000000 3 1 1 1
26 5 2 3 4 2 7.000000 3 6 1 2
27 3 2 1 1 1 1.000000 2 1 1 1
28 5 1 1 1 2 1.000000 2 1 1 1
29 2 1 1 1 2 1.000000 2 1 1 1
30 1 1 3 1 2 1.000000 1 1 1 1
31 3 1 1 1 1 1.000000 2 1 1 1
32 2 1 1 1 2 1.000000 3 1 1 1
33 10 7 7 3 8 5.000000 7 4 3 2
34 2 1 1 2 2 1.000000 3 1 1 1
35 3 1 2 1 2 1.000000 2 1 1 1
36 2 1 1 1 2 1.000000 2 1 1 1
37 10 10 10 8 6 1.000000 8 9 1 2
38 6 2 1 1 1 1.000000 7 1 1 1
39 5 4 4 9 2 10.000000 5 6 1 2
40 2 5 3 3 6 7.000000 7 5 1 2
41 6 6 6 9 6 1.346847 7 8 1 1
42 10 4 3 1 3 3.000000 6 5 2 2
43 6 10 10 2 8 10.000000 7 3 3 2
44 5 6 5 6 10 1.000000 3 1 1 2
45 10 10 10 4 8 1.000000 8 10 1 2
46 1 1 1 1 2 1.000000 2 1 2 1
47 3 7 7 4 4 9.000000 4 8 1 2
48 1 1 1 1 2 1.000000 2 1 1 1
49 4 1 1 3 2 1.000000 3 1 1 1
50 7 8 7 2 4 8.000000 3 8 2 2
51 9 5 8 1 2 3.000000 2 1 5 2
52 5 3 3 4 2 4.000000 3 4 1 2
53 10 3 6 2 3 5.000000 4 10 2 2
54 5 5 5 8 10 8.000000 7 3 7 2
55 10 5 5 6 8 8.000000 7 1 1 2
56 10 6 6 3 4 5.000000 3 6 1 2
57 8 10 10 1 3 6.000000 3 9 1 2
58 8 2 4 1 5 1.000000 5 4 4 2
59 5 2 3 1 6 10.000000 5 1 1 2
60 9 5 5 2 2 2.000000 5 1 1 2
61 5 3 5 5 3 3.000000 4 10 1 2
62 1 1 1 1 2 2.000000 2 1 1 1
63 9 10 10 1 10 8.000000 3 3 1 2
64 6 3 4 1 5 2.000000 3 9 1 2
65 1 1 1 1 2 1.000000 2 1 1 1
66 10 4 2 1 3 2.000000 4 3 10 2
67 4 1 1 1 2 1.000000 3 1 1 1
68 5 3 4 1 8 10.000000 4 9 1 2
69 8 3 8 3 4 9.000000 8 9 8 2
70 1 1 1 1 2 1.000000 3 2 1 1
71 5 1 3 1 2 1.000000 2 1 1 1
72 6 10 2 8 10 2.000000 7 8 10 2
73 1 3 3 2 2 1.000000 7 2 1 1
74 9 4 5 10 6 10.000000 4 8 1 2
75 10 6 4 1 3 4.000000 3 2 3 2
76 1 1 2 1 2 2.000000 4 2 1 1
77 1 1 4 1 2 1.000000 2 1 1 1
78 5 3 1 2 2 1.000000 2 1 1 1
79 3 1 1 1 2 3.000000 3 1 1 1
80 2 1 1 1 3 1.000000 2 1 1 1
81 2 2 2 1 1 1.000000 7 1 1 1
82 4 1 1 2 2 1.000000 2 1 1 1
83 5 2 1 1 2 1.000000 3 1 1 1
84 3 1 1 1 2 2.000000 7 1 1 1
85 3 5 7 8 8 9.000000 7 10 7 2
86 5 10 6 1 10 4.000000 4 10 10 2
87 3 3 6 4 5 8.000000 4 4 1 2
88 3 6 6 6 5 10.000000 6 8 3 2
89 4 1 1 1 2 1.000000 3 1 1 1
90 2 1 1 2 3 1.000000 2 1 1 1
91 1 1 1 1 2 1.000000 3 1 1 1
92 3 1 1 2 2 1.000000 1 1 1 1
93 4 1 1 1 2 1.000000 3 1 1 1
94 1 1 1 1 2 1.000000 2 1 1 1
95 2 1 1 1 2 1.000000 3 1 1 1
96 1 1 1 1 2 1.000000 3 1 1 1
97 2 1 1 2 2 1.000000 1 1 1 1
98 5 1 1 1 2 1.000000 3 1 1 1
99 9 6 9 2 10 6.000000 2 9 10 2
100 7 5 6 10 5 10.000000 7 9 4 2
101 10 3 5 1 10 5.000000 3 10 2 2
102 2 3 4 4 2 5.000000 2 5 1 2
103 4 1 2 1 2 1.000000 3 1 1 1
104 8 2 3 1 6 3.000000 7 1 1 2
105 10 10 10 10 10 1.000000 8 8 8 2
106 7 3 4 4 3 3.000000 3 2 7 2
107 10 10 10 8 2 10.000000 4 1 1 2
108 1 6 8 10 8 10.000000 5 7 1 2
109 1 1 1 1 2 1.000000 2 3 1 1
110 6 5 4 4 3 9.000000 7 8 3 2
111 1 3 1 2 2 2.000000 5 3 2 1
112 8 6 4 3 5 9.000000 3 1 1 2
113 10 3 3 10 2 10.000000 7 3 3 2
114 10 10 10 3 10 8.000000 8 1 1 2
115 3 3 2 1 2 3.000000 3 1 1 1
116 1 1 1 1 2 5.000000 1 1 1 1
117 8 3 3 1 2 2.000000 3 2 1 1
118 4 5 5 10 4 10.000000 7 5 8 2
119 1 1 1 1 4 3.000000 1 1 1 1
120 3 2 1 1 2 2.000000 3 1 1 1
121 1 1 2 2 2 1.000000 3 1 1 1
122 4 2 1 1 2 2.000000 3 1 1 1
123 10 10 10 2 10 10.000000 5 3 3 2
124 5 3 5 1 8 10.000000 5 3 1 2
125 5 4 6 7 9 7.000000 8 10 1 2
126 1 1 1 1 2 1.000000 2 1 1 1
127 7 5 3 7 4 10.000000 7 5 5 2
128 3 1 1 1 2 1.000000 3 1 1 1
129 8 3 5 4 5 10.000000 1 6 2 2
130 1 1 1 1 10 1.000000 1 1 1 1
131 5 1 3 1 2 1.000000 2 1 1 1
132 2 1 1 1 2 1.000000 3 1 1 1
133 5 10 8 10 8 10.000000 3 6 3 2
134 3 1 1 1 2 1.000000 2 2 1 1
135 3 1 1 1 3 1.000000 2 1 1 1
136 5 1 1 1 2 2.000000 3 3 1 1
137 4 1 1 1 2 1.000000 2 1 1 1
138 3 1 1 1 2 1.000000 1 1 1 1
139 4 1 2 1 2 1.000000 2 1 1 1
140 1 1 1 1 1 1.346847 2 1 1 1
141 3 1 1 1 2 1.000000 1 1 1 1
142 2 1 1 1 2 1.000000 1 1 1 1
143 9 5 5 4 4 5.000000 4 3 3 2
144 1 1 1 1 2 5.000000 1 1 1 1
145 2 1 1 1 2 1.000000 2 1 1 1
146 1 1 3 1 2 1.346847 2 1 1 1
147 3 4 5 2 6 8.000000 4 1 1 2
148 1 1 1 1 3 2.000000 2 1 1 1
149 3 1 1 3 8 1.000000 5 8 1 1
150 8 8 7 4 10 10.000000 7 8 7 2
151 1 1 1 1 1 1.000000 3 1 1 1
152 7 2 4 1 6 10.000000 5 4 3 2
153 10 10 8 6 4 5.000000 8 10 1 2
154 4 1 1 1 2 3.000000 1 1 1 1
155 1 1 1 1 2 1.000000 1 1 1 1
156 5 5 5 6 3 10.000000 3 1 1 2
157 1 2 2 1 2 1.000000 2 1 1 1
158 2 1 1 1 2 1.000000 3 1 1 1
159 1 1 2 1 3 1.346847 1 1 1 1
160 9 9 10 3 6 10.000000 7 10 6 2
161 10 7 7 4 5 10.000000 5 7 2 2
162 4 1 1 1 2 1.000000 3 2 1 1
163 3 1 1 1 2 1.000000 3 1 1 1
164 1 1 1 2 1 3.000000 1 1 7 1
165 5 1 1 1 2 1.346847 3 1 1 1
166 4 1 1 1 2 2.000000 3 2 1 1
167 5 6 7 8 8 10.000000 3 10 3 2
168 10 8 10 10 6 1.000000 3 1 10 2
169 3 1 1 1 2 1.000000 3 1 1 1
170 1 1 1 2 1 1.000000 1 1 1 1
171 3 1 1 1 2 1.000000 1 1 1 1
172 1 1 1 1 2 1.000000 3 1 1 1
173 1 1 1 1 2 1.000000 2 1 1 1
174 6 10 10 10 8 10.000000 10 10 7 2
175 8 6 5 4 3 10.000000 6 1 1 2
176 5 8 7 7 10 10.000000 5 7 1 2
177 2 1 1 1 2 1.000000 3 1 1 1
178 5 10 10 3 8 1.000000 5 10 3 2
179 4 1 1 1 2 1.000000 3 1 1 1
180 5 3 3 3 6 10.000000 3 1 1 2
181 1 1 1 1 1 1.000000 3 1 1 1
182 1 1 1 1 2 1.000000 1 1 1 1
183 6 1 1 1 2 1.000000 3 1 1 1
184 5 8 8 8 5 10.000000 7 8 1 2
185 8 7 6 4 4 10.000000 5 1 1 2
186 2 1 1 1 1 1.000000 3 1 1 1
187 1 5 8 6 5 8.000000 7 10 1 2
188 10 5 6 10 6 10.000000 7 7 10 2
189 5 8 4 10 5 8.000000 9 10 1 2
190 1 2 3 1 2 1.000000 3 1 1 1
191 10 10 10 8 6 8.000000 7 10 1 2
192 7 5 10 10 10 10.000000 4 10 3 2
193 5 1 1 1 2 1.000000 2 1 1 1
194 1 1 1 1 2 1.000000 3 1 1 1
195 3 1 1 1 2 1.000000 3 1 1 1
196 4 1 1 1 2 1.000000 3 1 1 1
197 8 4 4 5 4 7.000000 7 8 2 1
198 5 1 1 4 2 1.000000 3 1 1 1
199 1 1 1 1 2 1.000000 1 1 1 1
200 3 1 1 1 2 1.000000 2 1 1 1
201 9 7 7 5 5 10.000000 7 8 3 2
202 10 8 8 4 10 10.000000 8 1 1 2
203 1 1 1 1 2 1.000000 3 1 1 1
204 5 1 1 1 2 1.000000 3 1 1 1
205 1 1 1 1 2 1.000000 3 1 1 1
206 5 10 10 9 6 10.000000 7 10 5 2
207 10 10 9 3 7 5.000000 3 5 1 2
208 1 1 1 1 1 1.000000 3 1 1 1
209 1 1 1 1 1 1.000000 3 1 1 1
210 5 1 1 1 1 1.000000 3 1 1 1
211 8 10 10 10 5 10.000000 8 10 6 2
212 8 10 8 8 4 8.000000 7 7 1 2
213 1 1 1 1 2 1.000000 3 1 1 1
214 10 10 10 10 7 10.000000 7 10 4 2
215 10 10 10 10 3 10.000000 10 6 1 2
216 8 7 8 7 5 5.000000 5 10 2 2
217 1 1 1 1 2 1.000000 2 1 1 1
218 1 1 1 1 2 1.000000 3 1 1 1
219 6 10 7 7 6 4.000000 8 10 2 2
220 6 1 3 1 2 1.000000 3 1 1 1
221 1 1 1 2 2 1.000000 3 1 1 1
222 10 6 4 3 10 10.000000 9 10 1 2
223 4 1 1 3 1 5.000000 2 1 1 2
224 7 5 6 3 3 8.000000 7 4 1 2
225 10 5 5 6 3 10.000000 7 9 2 2
226 1 1 1 1 2 1.000000 2 1 1 1
227 10 5 7 4 4 10.000000 8 9 1 2
228 8 9 9 5 3 5.000000 7 7 1 2
229 1 1 1 1 1 1.000000 3 1 1 1
230 10 10 10 3 10 10.000000 9 10 1 2
231 7 4 7 4 3 7.000000 7 6 1 2
232 6 8 7 5 6 8.000000 8 9 2 2
233 8 4 6 3 3 1.000000 4 3 1 1
234 10 4 5 5 5 10.000000 4 1 1 2
235 3 3 2 1 3 1.000000 3 6 1 1
236 3 1 4 1 2 1.346847 3 1 1 1
237 10 8 8 2 8 10.000000 4 8 10 2
238 9 8 8 5 6 2.000000 4 10 4 2
239 8 10 10 8 6 9.000000 3 10 10 2
240 10 4 3 2 3 10.000000 5 3 2 2
241 5 1 3 3 2 2.000000 2 3 1 1
242 3 1 1 3 1 1.000000 3 1 1 1
243 2 1 1 1 2 1.000000 3 1 1 1
244 1 1 1 1 2 5.000000 5 1 1 1
245 1 1 1 1 2 1.000000 3 1 1 1
246 5 1 1 2 2 2.000000 3 1 1 1
247 8 10 10 8 5 10.000000 7 8 1 2
248 8 4 4 1 2 9.000000 3 3 1 2
249 4 1 1 1 2 1.000000 3 6 1 1
250 3 1 1 1 2 1.346847 3 1 1 1
251 1 2 2 1 2 1.000000 1 1 1 1
252 10 4 4 10 2 10.000000 5 3 3 2
253 6 3 3 5 3 10.000000 3 5 3 1
254 6 10 10 2 8 10.000000 7 3 3 2
255 9 10 10 1 10 8.000000 3 3 1 2
256 5 6 6 2 4 10.000000 3 6 1 2
257 3 1 1 1 2 1.000000 1 1 1 1
258 3 1 1 1 2 1.000000 2 1 1 1
259 3 1 1 1 2 1.000000 3 1 1 1
260 5 7 7 1 5 8.000000 3 4 1 1
261 10 5 8 10 3 10.000000 5 1 3 2
262 5 10 10 6 10 10.000000 10 6 5 2
263 8 8 9 4 5 10.000000 7 8 1 2
264 10 4 4 10 6 10.000000 5 5 1 2
265 7 9 4 10 10 3.000000 5 3 3 2
266 5 1 4 1 2 1.000000 3 2 1 1
267 10 10 6 3 3 10.000000 4 3 2 2
268 3 3 5 2 3 10.000000 7 1 1 2
269 10 8 8 2 3 4.000000 8 7 8 2
270 1 1 1 1 2 1.000000 3 1 1 1
271 8 4 7 1 3 10.000000 3 9 2 2
272 5 1 1 1 2 1.000000 3 1 1 1
273 3 3 5 2 3 10.000000 7 1 1 2
274 7 2 4 1 3 4.000000 3 3 1 2
275 3 1 1 1 2 1.000000 3 2 1 1
276 3 1 3 1 2 1.346847 2 1 1 1
277 3 1 1 1 2 1.000000 2 1 1 1
278 1 1 1 1 2 1.000000 2 1 1 1
279 1 1 1 1 2 1.000000 3 1 1 1
280 10 5 7 3 3 7.000000 3 3 8 2
281 3 1 1 1 2 1.000000 3 1 1 1
282 2 1 1 2 2 1.000000 3 1 1 1
283 1 4 3 10 4 10.000000 5 6 1 2
284 10 4 6 1 2 10.000000 5 3 1 2
285 7 4 5 10 2 10.000000 3 8 2 2
286 8 10 10 10 8 10.000000 10 7 3 2
287 10 10 10 10 10 10.000000 4 10 10 2
288 3 1 1 1 3 1.000000 2 1 1 1
289 6 1 3 1 4 5.000000 5 10 1 2
290 5 6 6 8 6 10.000000 4 10 4 2
291 1 1 1 1 2 1.000000 1 1 1 1
292 1 1 1 1 2 1.000000 3 1 1 1
293 8 8 8 1 2 7.627615 6 10 1 2
294 10 4 4 6 2 10.000000 2 3 1 2
295 1 1 1 1 2 1.346847 2 1 1 1
296 5 5 7 8 6 10.000000 7 4 1 2
297 5 3 4 3 4 5.000000 4 7 1 1
298 5 4 3 1 2 1.346847 2 3 1 1
299 8 2 1 1 5 1.000000 1 1 1 1
300 9 1 2 6 4 10.000000 7 7 2 2
301 8 4 10 5 4 4.000000 7 10 1 2
302 1 1 1 1 2 1.000000 3 1 1 1
303 10 10 10 7 9 10.000000 7 10 10 2
304 1 1 1 1 2 1.000000 3 1 1 1
305 8 3 4 9 3 10.000000 3 3 1 2
306 10 8 4 4 4 10.000000 3 10 4 2
307 1 1 1 1 2 1.000000 3 1 1 1
308 1 1 1 1 2 1.000000 3 1 1 1
309 7 8 7 6 4 3.000000 8 8 4 2
310 3 1 1 1 2 5.000000 5 1 1 1
311 2 1 1 1 3 1.000000 2 1 1 1
312 1 1 1 1 2 1.000000 1 1 1 1
313 8 6 4 10 10 1.000000 3 5 1 2
314 1 1 1 1 2 1.000000 1 1 1 1
315 1 1 1 1 1 1.000000 2 1 1 1
316 4 6 5 6 7 1.346847 4 9 1 1
317 5 5 5 2 5 10.000000 4 3 1 2
318 6 8 7 8 6 8.000000 8 9 1 2
319 1 1 1 1 5 1.000000 3 1 1 1
320 4 4 4 4 6 5.000000 7 3 1 1
321 7 6 3 2 5 10.000000 7 4 6 2
322 3 1 1 1 2 1.346847 3 1 1 1
323 3 1 1 1 2 1.000000 3 1 1 1
324 5 4 6 10 2 10.000000 4 1 1 2
325 1 1 1 1 2 1.000000 3 1 1 1
326 3 2 2 1 2 1.000000 2 3 1 1
327 10 1 1 1 2 10.000000 5 4 1 2
328 1 1 1 1 2 1.000000 2 1 1 1
329 8 10 3 2 6 4.000000 3 10 1 2
330 10 4 6 4 5 10.000000 7 1 1 2
331 10 4 7 2 2 8.000000 6 1 1 2
332 5 1 1 1 2 1.000000 3 1 2 1
333 5 2 2 2 2 1.000000 2 2 1 1
334 5 4 6 6 4 10.000000 4 3 1 2
335 8 6 7 3 3 10.000000 3 4 2 2
336 1 1 1 1 2 1.000000 1 1 1 1
337 6 5 5 8 4 10.000000 3 4 1 2
338 1 1 1 1 2 1.000000 3 1 1 1
339 1 1 1 1 1 1.000000 2 1 1 1
340 8 5 5 5 2 10.000000 4 3 1 2
341 10 3 3 1 2 10.000000 7 6 1 2
342 1 1 1 1 2 1.000000 3 1 1 1
343 2 1 1 1 2 1.000000 1 1 1 1
344 1 1 1 1 2 1.000000 1 1 1 1
345 7 6 4 8 10 10.000000 9 5 3 2
346 1 1 1 1 2 1.000000 1 1 1 1
347 5 2 2 2 3 1.000000 1 3 1 1
348 1 1 1 1 1 1.000000 1 3 1 1
349 3 4 4 10 5 1.000000 3 3 1 2
350 4 2 3 5 3 8.000000 7 6 1 2
351 5 1 1 3 2 1.000000 1 1 1 1
352 2 1 1 1 2 1.000000 3 1 1 1
353 3 4 5 3 7 3.000000 4 6 1 1
354 2 7 10 10 7 10.000000 4 9 4 2
355 1 1 1 1 2 1.000000 2 1 1 1
356 4 1 1 1 3 1.000000 2 2 1 1
357 5 3 3 1 3 3.000000 3 3 3 2
358 8 10 10 7 10 10.000000 7 3 8 2
359 8 10 5 3 8 4.000000 4 10 3 2
360 10 3 5 4 3 7.000000 3 5 3 2
361 6 10 10 10 10 10.000000 8 10 10 2
362 3 10 3 10 6 10.000000 5 1 4 2
363 3 2 2 1 4 3.000000 2 1 1 1
364 4 4 4 2 2 3.000000 2 1 1 1
365 2 1 1 1 2 1.000000 3 1 1 1
366 2 1 1 1 2 1.000000 2 1 1 1
367 6 10 10 10 8 10.000000 7 10 7 2
368 5 8 8 10 5 10.000000 8 10 3 2
369 1 1 3 1 2 1.000000 1 1 1 1
370 1 1 3 1 1 1.000000 2 1 1 1
371 4 3 2 1 3 1.000000 2 1 1 1
372 1 1 3 1 2 1.000000 1 1 1 1
373 4 1 2 1 2 1.000000 2 1 1 1
374 5 1 1 2 2 1.000000 2 1 1 1
375 3 1 2 1 2 1.000000 2 1 1 1
376 1 1 1 1 2 1.000000 1 1 1 1
377 1 1 1 1 2 1.000000 2 1 1 1
378 1 1 1 1 1 1.000000 2 1 1 1
379 3 1 1 4 3 1.000000 2 2 1 1
380 5 3 4 1 4 1.000000 3 1 1 1
381 1 1 1 1 2 1.000000 1 1 1 1
382 10 6 3 6 4 10.000000 7 8 4 2
383 3 2 2 2 2 1.000000 3 2 1 1
384 2 1 1 1 2 1.000000 1 1 1 1
385 2 1 1 1 2 1.000000 1 1 1 1
386 3 3 2 2 3 1.000000 1 2 3 1
387 7 6 6 3 2 10.000000 7 1 1 2
388 5 3 3 2 3 1.000000 3 1 1 1
389 2 1 1 1 2 1.000000 2 2 1 1
390 5 1 1 1 3 2.000000 2 2 1 1
391 1 1 1 2 2 1.000000 2 1 1 1
392 10 8 7 4 3 10.000000 7 9 1 2
393 3 1 1 1 2 1.000000 2 1 1 1
394 1 1 1 1 1 1.000000 1 1 1 1
395 1 2 3 1 2 1.000000 2 1 1 1
396 3 1 1 1 2 1.000000 2 1 1 1
397 3 1 1 1 2 1.000000 3 1 1 1
398 4 1 1 1 2 1.000000 1 1 1 1
399 3 2 1 1 2 1.000000 2 2 1 1
400 1 2 3 1 2 1.000000 1 1 1 1
401 3 10 8 7 6 9.000000 9 3 8 2
402 3 1 1 1 2 1.000000 1 1 1 1
403 5 3 3 1 2 1.000000 2 1 1 1
404 3 1 1 1 2 4.000000 1 1 1 1
405 1 2 1 3 2 1.000000 1 2 1 1
406 1 1 1 1 2 1.000000 2 1 1 1
407 4 2 2 1 2 1.000000 2 1 1 1
408 1 1 1 1 2 1.000000 2 1 1 1
409 2 3 2 2 2 2.000000 3 1 1 1
410 3 1 2 1 2 1.000000 2 1 1 1
411 1 1 1 1 2 1.000000 2 1 1 1
412 1 1 1 1 1 1.346847 2 1 1 1
413 10 10 10 6 8 4.000000 8 5 1 2
414 5 1 2 1 2 1.000000 3 1 1 1
415 8 5 6 2 3 10.000000 6 6 1 2
416 3 3 2 6 3 3.000000 3 5 1 1
417 8 7 8 5 10 10.000000 7 2 1 2
418 1 1 1 1 2 1.000000 2 1 1 1
419 5 2 2 2 2 2.000000 3 2 2 1
420 2 3 1 1 5 1.000000 1 1 1 1
421 3 2 2 3 2 3.000000 3 1 1 1
422 10 10 10 7 10 10.000000 8 2 1 2
423 4 3 3 1 2 1.000000 3 3 1 1
424 5 1 3 1 2 1.000000 2 1 1 1
425 3 1 1 1 2 1.000000 1 1 1 1
426 9 10 10 10 10 10.000000 10 10 1 2
427 5 3 6 1 2 1.000000 1 1 1 1
428 8 7 8 2 4 2.000000 5 10 1 2
429 1 1 1 1 2 1.000000 2 1 1 1
430 2 1 1 1 2 1.000000 2 1 1 1
431 1 3 1 1 2 1.000000 2 2 1 1
432 5 1 1 3 4 1.000000 3 2 1 1
433 5 1 1 1 2 1.000000 2 2 1 1
434 3 2 2 3 2 1.000000 1 1 1 1
435 6 9 7 5 5 8.000000 4 2 1 1
436 10 8 10 1 3 10.000000 5 1 1 2
437 10 10 10 1 6 1.000000 2 8 1 2
438 4 1 1 1 2 1.000000 1 1 1 1
439 4 1 3 3 2 1.000000 1 1 1 1
440 5 1 1 1 2 1.000000 1 1 1 1
441 10 4 3 10 4 10.000000 10 1 1 2
442 5 2 2 4 2 4.000000 1 1 1 1
443 1 1 1 3 2 3.000000 1 1 1 1
444 1 1 1 1 2 2.000000 1 1 1 1
445 5 1 1 6 3 1.000000 2 1 1 1
446 2 1 1 1 2 1.000000 1 1 1 1
447 1 1 1 1 2 1.000000 1 1 1 1
448 5 1 1 1 2 1.000000 1 1 1 1
449 1 1 1 1 1 1.000000 1 1 1 1
450 5 7 9 8 6 10.000000 8 10 1 2
451 4 1 1 3 1 1.000000 2 1 1 1
452 5 1 1 1 2 1.000000 1 1 1 1
453 3 1 1 3 2 1.000000 1 1 1 1
454 4 5 5 8 6 10.000000 10 7 1 2
455 2 3 1 1 3 1.000000 1 1 1 1
456 10 2 2 1 2 6.000000 1 1 2 2
457 10 6 5 8 5 10.000000 8 6 1 2
458 8 8 9 6 6 3.000000 10 10 1 2
459 5 1 2 1 2 1.000000 1 1 1 1
460 5 1 3 1 2 1.000000 1 1 1 1
461 5 1 1 3 2 1.000000 1 1 1 1
462 3 1 1 1 2 5.000000 1 1 1 1
463 6 1 1 3 2 1.000000 1 1 1 1
464 4 1 1 1 2 1.000000 1 2 1 1
465 4 1 1 1 2 1.000000 1 1 1 1
466 10 9 8 7 6 4.000000 7 10 3 2
467 10 6 6 2 4 10.000000 9 7 1 2
468 6 6 6 5 4 10.000000 7 6 2 2
469 4 1 1 1 2 1.000000 1 1 1 1
470 1 1 2 1 2 1.000000 2 1 1 1
471 3 1 1 1 1 1.000000 2 1 1 1
472 6 1 1 3 2 1.000000 1 1 1 1
473 6 1 1 1 1 1.000000 1 1 1 1
474 4 1 1 1 2 1.000000 1 1 1 1
475 5 1 1 1 2 1.000000 1 1 1 1
476 3 1 1 1 2 1.000000 1 1 1 1
477 4 1 2 1 2 1.000000 1 1 1 1
478 4 1 1 1 2 1.000000 1 1 1 1
479 5 2 1 1 2 1.000000 1 1 1 1
480 4 8 7 10 4 10.000000 7 5 1 2
481 5 1 1 1 1 1.000000 1 1 1 1
482 5 3 2 4 2 1.000000 1 1 1 1
483 9 10 10 10 10 5.000000 10 10 10 2
484 8 7 8 5 5 10.000000 9 10 1 2
485 5 1 2 1 2 1.000000 1 1 1 1
486 1 1 1 3 1 3.000000 1 1 1 1
487 3 1 1 1 1 1.000000 2 1 1 1
488 10 10 10 10 6 10.000000 8 1 5 2
489 3 6 4 10 3 3.000000 3 4 1 2
490 6 3 2 1 3 4.000000 4 1 1 2
491 1 1 1 1 2 1.000000 1 1 1 1
492 5 8 9 4 3 10.000000 7 1 1 2
493 4 1 1 1 1 1.000000 2 1 1 1
494 5 10 10 10 6 10.000000 6 5 2 2
495 5 1 2 10 4 5.000000 2 1 1 1
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497 1 1 1 1 1 1.000000 1 1 1 1
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500 4 1 1 1 2 1.000000 2 1 1 1
501 6 1 1 1 2 1.000000 3 1 1 1
502 4 1 1 1 2 1.000000 2 1 1 1
503 4 1 1 2 2 1.000000 2 1 1 1
504 4 1 1 1 2 1.000000 3 1 1 1
505 1 1 1 1 2 1.000000 1 1 1 1
506 3 3 1 1 2 1.000000 1 1 1 1
507 8 10 10 10 7 5.000000 4 8 7 2
508 1 1 1 1 2 4.000000 1 1 1 1
509 5 1 1 1 2 1.000000 1 1 1 1
510 2 1 1 1 2 1.000000 1 1 1 1
511 1 1 1 1 2 1.000000 1 1 1 1
512 5 1 1 1 2 1.000000 2 1 1 1
513 5 1 1 1 2 1.000000 1 1 1 1
514 3 1 1 1 1 1.000000 2 1 1 1
515 6 6 7 10 3 10.000000 8 10 2 2
516 4 10 4 7 3 10.000000 9 10 1 2
517 1 1 1 1 1 1.000000 1 1 1 1
518 1 1 1 1 1 1.000000 2 1 1 1
519 3 1 2 2 2 1.000000 1 1 1 1
520 4 7 8 3 4 10.000000 9 1 1 2
521 1 1 1 1 3 1.000000 1 1 1 1
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523 10 4 5 4 3 5.000000 7 3 1 2
524 7 5 6 10 4 10.000000 5 3 1 2
525 3 1 1 1 2 1.000000 2 1 1 1
526 3 1 1 2 2 1.000000 1 1 1 1
527 4 1 1 1 2 1.000000 1 1 1 1
528 4 1 1 1 2 1.000000 3 1 1 1
529 6 1 3 2 2 1.000000 1 1 1 1
530 4 1 1 1 1 1.000000 2 1 1 1
531 7 4 4 3 4 10.000000 6 9 1 2
532 4 2 2 1 2 1.000000 2 1 1 1
533 1 1 1 1 1 1.000000 3 1 1 1
534 3 1 1 1 2 1.000000 2 1 1 1
535 2 1 1 1 2 1.000000 2 1 1 1
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548 2 1 1 1 1 1.000000 1 1 1 1
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551 3 1 1 1 2 1.000000 2 1 1 1
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553 3 2 2 2 2 1.000000 4 2 1 1
554 4 4 2 1 2 5.000000 2 1 2 1
555 3 1 1 1 2 1.000000 1 1 1 1
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557 5 2 2 2 1 1.000000 2 1 1 1
558 5 1 1 3 2 1.000000 1 1 1 1
559 2 1 1 1 2 1.000000 2 1 1 1
560 5 1 1 1 2 1.000000 2 1 1 1
561 5 1 1 1 2 1.000000 3 1 1 1
562 5 1 1 1 2 1.000000 3 1 1 1
563 1 1 1 1 2 1.000000 3 1 1 1
564 3 1 1 1 2 1.000000 2 1 1 1
565 4 1 1 1 2 1.000000 3 2 1 1
566 5 7 10 10 5 10.000000 10 10 1 2
567 3 1 2 1 2 1.000000 3 1 1 1
568 4 1 1 1 2 3.000000 2 1 1 1
569 8 4 4 1 6 10.000000 2 5 2 2
570 10 10 8 10 6 5.000000 10 3 1 2
571 8 10 4 4 8 10.000000 8 2 1 2
572 7 6 10 5 3 10.000000 9 10 2 2
573 3 1 1 1 2 1.000000 2 1 1 1
574 1 1 1 1 2 1.000000 2 1 1 1
575 10 9 7 3 4 2.000000 7 7 1 2
576 5 1 2 1 2 1.000000 3 1 1 1
577 5 1 1 1 2 1.000000 2 1 1 1
578 1 1 1 1 2 1.000000 2 1 1 1
579 1 1 1 1 2 1.000000 2 1 1 1
580 1 1 1 1 2 1.000000 3 1 1 1
581 5 1 2 1 2 1.000000 2 1 1 1
582 5 7 10 6 5 10.000000 7 5 1 2
583 6 10 5 5 4 10.000000 6 10 1 2
584 3 1 1 1 2 1.000000 1 1 1 1
585 5 1 1 6 3 1.000000 1 1 1 1
586 1 1 1 1 2 1.000000 1 1 1 1
587 8 10 10 10 6 10.000000 10 10 1 2
588 5 1 1 1 2 1.000000 2 2 1 1
589 9 8 8 9 6 3.000000 4 1 1 2
590 5 1 1 1 2 1.000000 1 1 1 1
591 4 10 8 5 4 1.000000 10 1 1 2
592 2 5 7 6 4 10.000000 7 6 1 2
593 10 3 4 5 3 10.000000 4 1 1 2
594 5 1 2 1 2 1.000000 1 1 1 1
595 4 8 6 3 4 10.000000 7 1 1 2
596 5 1 1 1 2 1.000000 2 1 1 1
597 4 1 2 1 2 1.000000 2 1 1 1
598 5 1 3 1 2 1.000000 3 1 1 1
599 3 1 1 1 2 1.000000 2 1 1 1
600 5 2 4 1 1 1.000000 1 1 1 1
601 3 1 1 1 2 1.000000 2 1 1 1
602 1 1 1 1 1 1.000000 2 1 1 1
603 4 1 1 1 2 1.000000 2 1 1 1
604 5 4 6 8 4 1.000000 8 10 1 2
605 5 3 2 8 5 10.000000 8 1 2 2
606 10 5 10 3 5 8.000000 7 8 3 2
607 4 1 1 2 2 1.000000 1 1 1 1
608 1 1 1 1 2 1.000000 1 1 1 1
609 5 10 10 10 10 10.000000 10 1 1 2
610 5 1 1 1 2 1.000000 1 1 1 1
611 10 4 3 10 3 10.000000 7 1 2 2
612 5 10 10 10 5 2.000000 8 5 1 2
613 8 10 10 10 6 10.000000 10 10 10 2
614 2 3 1 1 2 1.000000 2 1 1 1
615 2 1 1 1 1 1.000000 2 1 1 1
616 4 1 3 1 2 1.000000 2 1 1 1
617 3 1 1 1 2 1.000000 2 1 1 1
618 1 1 1 1 1 1.346847 1 1 1 1
619 4 1 1 1 2 1.000000 2 1 1 1
620 5 1 1 1 2 1.000000 2 1 1 1
621 3 1 1 1 2 1.000000 2 1 1 1
622 6 3 3 3 3 2.000000 6 1 1 1
623 7 1 2 3 2 1.000000 2 1 1 1
624 1 1 1 1 2 1.000000 1 1 1 1
625 5 1 1 2 1 1.000000 2 1 1 1
626 3 1 3 1 3 4.000000 1 1 1 1
627 4 6 6 5 7 6.000000 7 7 3 2
628 2 1 1 1 2 5.000000 1 1 1 1
629 2 1 1 1 2 1.000000 1 1 1 1
630 4 1 1 1 2 1.000000 1 1 1 1
631 6 2 3 1 2 1.000000 1 1 1 1
632 5 1 1 1 2 1.000000 2 1 1 1
633 1 1 1 1 2 1.000000 1 1 1 1
634 8 7 4 4 5 3.000000 5 10 1 2
635 3 1 1 1 2 1.000000 1 1 1 1
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638 4 2 4 3 2 2.000000 2 1 1 1
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659 7 8 8 7 3 10.000000 7 2 3 2
660 1 1 1 1 2 1.000000 1 1 1 1
661 1 1 1 1 2 1.000000 2 1 1 1
662 4 1 1 1 2 1.000000 3 1 1 1
663 1 1 3 1 2 1.000000 2 1 1 1
664 1 1 3 1 2 1.000000 2 1 1 1
665 3 1 1 3 2 1.000000 2 1 1 1
666 1 1 1 1 2 1.000000 1 1 1 1
667 5 2 2 2 2 1.000000 1 1 2 1
668 3 1 1 1 2 1.000000 3 1 1 1
669 5 7 4 1 6 1.000000 7 10 3 2
670 5 10 10 8 5 5.000000 7 10 1 2
671 3 10 7 8 5 8.000000 7 4 1 2
672 3 2 1 2 2 1.000000 3 1 1 1
673 2 1 1 1 2 1.000000 3 1 1 1
674 5 3 2 1 3 1.000000 1 1 1 1
675 1 1 1 1 2 1.000000 2 1 1 1
676 4 1 4 1 2 1.000000 1 1 1 1
677 1 1 2 1 2 1.000000 2 1 1 1
678 5 1 1 1 2 1.000000 1 1 1 1
679 1 1 1 1 2 1.000000 1 1 1 1
680 2 1 1 1 2 1.000000 1 1 1 1
681 10 10 10 10 5 10.000000 10 10 7 2
682 5 10 10 10 4 10.000000 5 6 3 2
683 5 1 1 1 2 1.000000 3 2 1 1
684 1 1 1 1 2 1.000000 1 1 1 1
685 1 1 1 1 2 1.000000 1 1 1 1
686 1 1 1 1 2 1.000000 1 1 1 1
687 1 1 1 1 2 1.000000 1 1 1 1
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689 4 1 1 1 2 1.000000 1 1 1 1
690 1 1 1 1 2 1.000000 1 1 8 1
691 1 1 1 3 2 1.000000 1 1 1 1
692 5 10 10 5 4 5.000000 4 4 1 2
693 3 1 1 1 2 1.000000 1 1 1 1
694 3 1 1 1 2 1.000000 2 1 2 1
695 3 1 1 1 3 2.000000 1 1 1 1
696 2 1 1 1 2 1.000000 1 1 1 1
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dprep documentation built on May 29, 2017, 11:01 a.m.
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Description Usage Format Details Source Examples
Description
This is the Breast Wisconsin dataset from the UCI Machine Learning Repository. This dataset has 699 instances, sixteen of them with missing values, 9 predictor attributes and one class attribute assuming values 1(benign tumor) and 2(malign tumor).
Usage
1 |
Format
A data frame with 699 observations on the following 10 variables.
- V1
Clump Thickness
- V2
Uniformity of Cell Size
- V3
Uniformity of Cell Shape
- V4
Marginal Adhesion
- V5
Single Epithelial Cell Size
- V6
Bare Nuclei
- V7
Bland Chromatin
- V8
Normal Nucleoli
- V9
Mitoses
- V10
Class: 1 for benign, 2 for Malign
Details
All the features assume values in the range 1-10. The dataset contains 699 observations with 16 of them having missing values. It is recommended to impute these values been before further analysis.
Source
The UCI Machine Learning Database Repository at:
Examples
1 2 3 |
Example output
Warning messages:
1: In rgl.init(initValue, onlyNULL) : RGL: unable to open X11 display
2: 'rgl_init' failed, running with rgl.useNULL = TRUE
3: .onUnload failed in unloadNamespace() for 'rgl', details:
call: fun(...)
error: object 'rgl_quit' not found
Summary of imputations using substitution of mean (mode for nominal features):
Row Column Class Imput.value
[1,] 24 6 2 7.627615
[2,] 41 6 1 1.346847
[3,] 140 6 1 1.346847
[4,] 146 6 1 1.346847
[5,] 159 6 1 1.346847
[6,] 165 6 1 1.346847
[7,] 236 6 1 1.346847
[8,] 250 6 1 1.346847
[9,] 276 6 1 1.346847
[10,] 293 6 2 7.627615
[11,] 295 6 1 1.346847
[12,] 298 6 1 1.346847
[13,] 316 6 1 1.346847
[14,] 322 6 1 1.346847
[15,] 412 6 1 1.346847
[16,] 618 6 1 1.346847
Total number of imputations per class:
1 2
14 2
Total number of imputations: 16
V1 V2 V3 V4 V5 V6 V7 V8 V9 V10
1 5 1 1 1 2 1.000000 3 1 1 1
2 5 4 4 5 7 10.000000 3 2 1 1
3 3 1 1 1 2 2.000000 3 1 1 1
4 6 8 8 1 3 4.000000 3 7 1 1
5 4 1 1 3 2 1.000000 3 1 1 1
6 8 10 10 8 7 10.000000 9 7 1 2
7 1 1 1 1 2 10.000000 3 1 1 1
8 2 1 2 1 2 1.000000 3 1 1 1
9 2 1 1 1 2 1.000000 1 1 5 1
10 4 2 1 1 2 1.000000 2 1 1 1
11 1 1 1 1 1 1.000000 3 1 1 1
12 2 1 1 1 2 1.000000 2 1 1 1
13 5 3 3 3 2 3.000000 4 4 1 2
14 1 1 1 1 2 3.000000 3 1 1 1
15 8 7 5 10 7 9.000000 5 5 4 2
16 7 4 6 4 6 1.000000 4 3 1 2
17 4 1 1 1 2 1.000000 2 1 1 1
18 4 1 1 1 2 1.000000 3 1 1 1
19 10 7 7 6 4 10.000000 4 1 2 2
20 6 1 1 1 2 1.000000 3 1 1 1
21 7 3 2 10 5 10.000000 5 4 4 2
22 10 5 5 3 6 7.000000 7 10 1 2
23 3 1 1 1 2 1.000000 2 1 1 1
24 8 4 5 1 2 7.627615 7 3 1 2
25 1 1 1 1 2 1.000000 3 1 1 1
26 5 2 3 4 2 7.000000 3 6 1 2
27 3 2 1 1 1 1.000000 2 1 1 1
28 5 1 1 1 2 1.000000 2 1 1 1
29 2 1 1 1 2 1.000000 2 1 1 1
30 1 1 3 1 2 1.000000 1 1 1 1
31 3 1 1 1 1 1.000000 2 1 1 1
32 2 1 1 1 2 1.000000 3 1 1 1
33 10 7 7 3 8 5.000000 7 4 3 2
34 2 1 1 2 2 1.000000 3 1 1 1
35 3 1 2 1 2 1.000000 2 1 1 1
36 2 1 1 1 2 1.000000 2 1 1 1
37 10 10 10 8 6 1.000000 8 9 1 2
38 6 2 1 1 1 1.000000 7 1 1 1
39 5 4 4 9 2 10.000000 5 6 1 2
40 2 5 3 3 6 7.000000 7 5 1 2
41 6 6 6 9 6 1.346847 7 8 1 1
42 10 4 3 1 3 3.000000 6 5 2 2
43 6 10 10 2 8 10.000000 7 3 3 2
44 5 6 5 6 10 1.000000 3 1 1 2
45 10 10 10 4 8 1.000000 8 10 1 2
46 1 1 1 1 2 1.000000 2 1 2 1
47 3 7 7 4 4 9.000000 4 8 1 2
48 1 1 1 1 2 1.000000 2 1 1 1
49 4 1 1 3 2 1.000000 3 1 1 1
50 7 8 7 2 4 8.000000 3 8 2 2
51 9 5 8 1 2 3.000000 2 1 5 2
52 5 3 3 4 2 4.000000 3 4 1 2
53 10 3 6 2 3 5.000000 4 10 2 2
54 5 5 5 8 10 8.000000 7 3 7 2
55 10 5 5 6 8 8.000000 7 1 1 2
56 10 6 6 3 4 5.000000 3 6 1 2
57 8 10 10 1 3 6.000000 3 9 1 2
58 8 2 4 1 5 1.000000 5 4 4 2
59 5 2 3 1 6 10.000000 5 1 1 2
60 9 5 5 2 2 2.000000 5 1 1 2
61 5 3 5 5 3 3.000000 4 10 1 2
62 1 1 1 1 2 2.000000 2 1 1 1
63 9 10 10 1 10 8.000000 3 3 1 2
64 6 3 4 1 5 2.000000 3 9 1 2
65 1 1 1 1 2 1.000000 2 1 1 1
66 10 4 2 1 3 2.000000 4 3 10 2
67 4 1 1 1 2 1.000000 3 1 1 1
68 5 3 4 1 8 10.000000 4 9 1 2
69 8 3 8 3 4 9.000000 8 9 8 2
70 1 1 1 1 2 1.000000 3 2 1 1
71 5 1 3 1 2 1.000000 2 1 1 1
72 6 10 2 8 10 2.000000 7 8 10 2
73 1 3 3 2 2 1.000000 7 2 1 1
74 9 4 5 10 6 10.000000 4 8 1 2
75 10 6 4 1 3 4.000000 3 2 3 2
76 1 1 2 1 2 2.000000 4 2 1 1
77 1 1 4 1 2 1.000000 2 1 1 1
78 5 3 1 2 2 1.000000 2 1 1 1
79 3 1 1 1 2 3.000000 3 1 1 1
80 2 1 1 1 3 1.000000 2 1 1 1
81 2 2 2 1 1 1.000000 7 1 1 1
82 4 1 1 2 2 1.000000 2 1 1 1
83 5 2 1 1 2 1.000000 3 1 1 1
84 3 1 1 1 2 2.000000 7 1 1 1
85 3 5 7 8 8 9.000000 7 10 7 2
86 5 10 6 1 10 4.000000 4 10 10 2
87 3 3 6 4 5 8.000000 4 4 1 2
88 3 6 6 6 5 10.000000 6 8 3 2
89 4 1 1 1 2 1.000000 3 1 1 1
90 2 1 1 2 3 1.000000 2 1 1 1
91 1 1 1 1 2 1.000000 3 1 1 1
92 3 1 1 2 2 1.000000 1 1 1 1
93 4 1 1 1 2 1.000000 3 1 1 1
94 1 1 1 1 2 1.000000 2 1 1 1
95 2 1 1 1 2 1.000000 3 1 1 1
96 1 1 1 1 2 1.000000 3 1 1 1
97 2 1 1 2 2 1.000000 1 1 1 1
98 5 1 1 1 2 1.000000 3 1 1 1
99 9 6 9 2 10 6.000000 2 9 10 2
100 7 5 6 10 5 10.000000 7 9 4 2
101 10 3 5 1 10 5.000000 3 10 2 2
102 2 3 4 4 2 5.000000 2 5 1 2
103 4 1 2 1 2 1.000000 3 1 1 1
104 8 2 3 1 6 3.000000 7 1 1 2
105 10 10 10 10 10 1.000000 8 8 8 2
106 7 3 4 4 3 3.000000 3 2 7 2
107 10 10 10 8 2 10.000000 4 1 1 2
108 1 6 8 10 8 10.000000 5 7 1 2
109 1 1 1 1 2 1.000000 2 3 1 1
110 6 5 4 4 3 9.000000 7 8 3 2
111 1 3 1 2 2 2.000000 5 3 2 1
112 8 6 4 3 5 9.000000 3 1 1 2
113 10 3 3 10 2 10.000000 7 3 3 2
114 10 10 10 3 10 8.000000 8 1 1 2
115 3 3 2 1 2 3.000000 3 1 1 1
116 1 1 1 1 2 5.000000 1 1 1 1
117 8 3 3 1 2 2.000000 3 2 1 1
118 4 5 5 10 4 10.000000 7 5 8 2
119 1 1 1 1 4 3.000000 1 1 1 1
120 3 2 1 1 2 2.000000 3 1 1 1
121 1 1 2 2 2 1.000000 3 1 1 1
122 4 2 1 1 2 2.000000 3 1 1 1
123 10 10 10 2 10 10.000000 5 3 3 2
124 5 3 5 1 8 10.000000 5 3 1 2
125 5 4 6 7 9 7.000000 8 10 1 2
126 1 1 1 1 2 1.000000 2 1 1 1
127 7 5 3 7 4 10.000000 7 5 5 2
128 3 1 1 1 2 1.000000 3 1 1 1
129 8 3 5 4 5 10.000000 1 6 2 2
130 1 1 1 1 10 1.000000 1 1 1 1
131 5 1 3 1 2 1.000000 2 1 1 1
132 2 1 1 1 2 1.000000 3 1 1 1
133 5 10 8 10 8 10.000000 3 6 3 2
134 3 1 1 1 2 1.000000 2 2 1 1
135 3 1 1 1 3 1.000000 2 1 1 1
136 5 1 1 1 2 2.000000 3 3 1 1
137 4 1 1 1 2 1.000000 2 1 1 1
138 3 1 1 1 2 1.000000 1 1 1 1
139 4 1 2 1 2 1.000000 2 1 1 1
140 1 1 1 1 1 1.346847 2 1 1 1
141 3 1 1 1 2 1.000000 1 1 1 1
142 2 1 1 1 2 1.000000 1 1 1 1
143 9 5 5 4 4 5.000000 4 3 3 2
144 1 1 1 1 2 5.000000 1 1 1 1
145 2 1 1 1 2 1.000000 2 1 1 1
146 1 1 3 1 2 1.346847 2 1 1 1
147 3 4 5 2 6 8.000000 4 1 1 2
148 1 1 1 1 3 2.000000 2 1 1 1
149 3 1 1 3 8 1.000000 5 8 1 1
150 8 8 7 4 10 10.000000 7 8 7 2
151 1 1 1 1 1 1.000000 3 1 1 1
152 7 2 4 1 6 10.000000 5 4 3 2
153 10 10 8 6 4 5.000000 8 10 1 2
154 4 1 1 1 2 3.000000 1 1 1 1
155 1 1 1 1 2 1.000000 1 1 1 1
156 5 5 5 6 3 10.000000 3 1 1 2
157 1 2 2 1 2 1.000000 2 1 1 1
158 2 1 1 1 2 1.000000 3 1 1 1
159 1 1 2 1 3 1.346847 1 1 1 1
160 9 9 10 3 6 10.000000 7 10 6 2
161 10 7 7 4 5 10.000000 5 7 2 2
162 4 1 1 1 2 1.000000 3 2 1 1
163 3 1 1 1 2 1.000000 3 1 1 1
164 1 1 1 2 1 3.000000 1 1 7 1
165 5 1 1 1 2 1.346847 3 1 1 1
166 4 1 1 1 2 2.000000 3 2 1 1
167 5 6 7 8 8 10.000000 3 10 3 2
168 10 8 10 10 6 1.000000 3 1 10 2
169 3 1 1 1 2 1.000000 3 1 1 1
170 1 1 1 2 1 1.000000 1 1 1 1
171 3 1 1 1 2 1.000000 1 1 1 1
172 1 1 1 1 2 1.000000 3 1 1 1
173 1 1 1 1 2 1.000000 2 1 1 1
174 6 10 10 10 8 10.000000 10 10 7 2
175 8 6 5 4 3 10.000000 6 1 1 2
176 5 8 7 7 10 10.000000 5 7 1 2
177 2 1 1 1 2 1.000000 3 1 1 1
178 5 10 10 3 8 1.000000 5 10 3 2
179 4 1 1 1 2 1.000000 3 1 1 1
180 5 3 3 3 6 10.000000 3 1 1 2
181 1 1 1 1 1 1.000000 3 1 1 1
182 1 1 1 1 2 1.000000 1 1 1 1
183 6 1 1 1 2 1.000000 3 1 1 1
184 5 8 8 8 5 10.000000 7 8 1 2
185 8 7 6 4 4 10.000000 5 1 1 2
186 2 1 1 1 1 1.000000 3 1 1 1
187 1 5 8 6 5 8.000000 7 10 1 2
188 10 5 6 10 6 10.000000 7 7 10 2
189 5 8 4 10 5 8.000000 9 10 1 2
190 1 2 3 1 2 1.000000 3 1 1 1
191 10 10 10 8 6 8.000000 7 10 1 2
192 7 5 10 10 10 10.000000 4 10 3 2
193 5 1 1 1 2 1.000000 2 1 1 1
194 1 1 1 1 2 1.000000 3 1 1 1
195 3 1 1 1 2 1.000000 3 1 1 1
196 4 1 1 1 2 1.000000 3 1 1 1
197 8 4 4 5 4 7.000000 7 8 2 1
198 5 1 1 4 2 1.000000 3 1 1 1
199 1 1 1 1 2 1.000000 1 1 1 1
200 3 1 1 1 2 1.000000 2 1 1 1
201 9 7 7 5 5 10.000000 7 8 3 2
202 10 8 8 4 10 10.000000 8 1 1 2
203 1 1 1 1 2 1.000000 3 1 1 1
204 5 1 1 1 2 1.000000 3 1 1 1
205 1 1 1 1 2 1.000000 3 1 1 1
206 5 10 10 9 6 10.000000 7 10 5 2
207 10 10 9 3 7 5.000000 3 5 1 2
208 1 1 1 1 1 1.000000 3 1 1 1
209 1 1 1 1 1 1.000000 3 1 1 1
210 5 1 1 1 1 1.000000 3 1 1 1
211 8 10 10 10 5 10.000000 8 10 6 2
212 8 10 8 8 4 8.000000 7 7 1 2
213 1 1 1 1 2 1.000000 3 1 1 1
214 10 10 10 10 7 10.000000 7 10 4 2
215 10 10 10 10 3 10.000000 10 6 1 2
216 8 7 8 7 5 5.000000 5 10 2 2
217 1 1 1 1 2 1.000000 2 1 1 1
218 1 1 1 1 2 1.000000 3 1 1 1
219 6 10 7 7 6 4.000000 8 10 2 2
220 6 1 3 1 2 1.000000 3 1 1 1
221 1 1 1 2 2 1.000000 3 1 1 1
222 10 6 4 3 10 10.000000 9 10 1 2
223 4 1 1 3 1 5.000000 2 1 1 2
224 7 5 6 3 3 8.000000 7 4 1 2
225 10 5 5 6 3 10.000000 7 9 2 2
226 1 1 1 1 2 1.000000 2 1 1 1
227 10 5 7 4 4 10.000000 8 9 1 2
228 8 9 9 5 3 5.000000 7 7 1 2
229 1 1 1 1 1 1.000000 3 1 1 1
230 10 10 10 3 10 10.000000 9 10 1 2
231 7 4 7 4 3 7.000000 7 6 1 2
232 6 8 7 5 6 8.000000 8 9 2 2
233 8 4 6 3 3 1.000000 4 3 1 1
234 10 4 5 5 5 10.000000 4 1 1 2
235 3 3 2 1 3 1.000000 3 6 1 1
236 3 1 4 1 2 1.346847 3 1 1 1
237 10 8 8 2 8 10.000000 4 8 10 2
238 9 8 8 5 6 2.000000 4 10 4 2
239 8 10 10 8 6 9.000000 3 10 10 2
240 10 4 3 2 3 10.000000 5 3 2 2
241 5 1 3 3 2 2.000000 2 3 1 1
242 3 1 1 3 1 1.000000 3 1 1 1
243 2 1 1 1 2 1.000000 3 1 1 1
244 1 1 1 1 2 5.000000 5 1 1 1
245 1 1 1 1 2 1.000000 3 1 1 1
246 5 1 1 2 2 2.000000 3 1 1 1
247 8 10 10 8 5 10.000000 7 8 1 2
248 8 4 4 1 2 9.000000 3 3 1 2
249 4 1 1 1 2 1.000000 3 6 1 1
250 3 1 1 1 2 1.346847 3 1 1 1
251 1 2 2 1 2 1.000000 1 1 1 1
252 10 4 4 10 2 10.000000 5 3 3 2
253 6 3 3 5 3 10.000000 3 5 3 1
254 6 10 10 2 8 10.000000 7 3 3 2
255 9 10 10 1 10 8.000000 3 3 1 2
256 5 6 6 2 4 10.000000 3 6 1 2
257 3 1 1 1 2 1.000000 1 1 1 1
258 3 1 1 1 2 1.000000 2 1 1 1
259 3 1 1 1 2 1.000000 3 1 1 1
260 5 7 7 1 5 8.000000 3 4 1 1
261 10 5 8 10 3 10.000000 5 1 3 2
262 5 10 10 6 10 10.000000 10 6 5 2
263 8 8 9 4 5 10.000000 7 8 1 2
264 10 4 4 10 6 10.000000 5 5 1 2
265 7 9 4 10 10 3.000000 5 3 3 2
266 5 1 4 1 2 1.000000 3 2 1 1
267 10 10 6 3 3 10.000000 4 3 2 2
268 3 3 5 2 3 10.000000 7 1 1 2
269 10 8 8 2 3 4.000000 8 7 8 2
270 1 1 1 1 2 1.000000 3 1 1 1
271 8 4 7 1 3 10.000000 3 9 2 2
272 5 1 1 1 2 1.000000 3 1 1 1
273 3 3 5 2 3 10.000000 7 1 1 2
274 7 2 4 1 3 4.000000 3 3 1 2
275 3 1 1 1 2 1.000000 3 2 1 1
276 3 1 3 1 2 1.346847 2 1 1 1
277 3 1 1 1 2 1.000000 2 1 1 1
278 1 1 1 1 2 1.000000 2 1 1 1
279 1 1 1 1 2 1.000000 3 1 1 1
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281 3 1 1 1 2 1.000000 3 1 1 1
282 2 1 1 2 2 1.000000 3 1 1 1
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286 8 10 10 10 8 10.000000 10 7 3 2
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