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Browse files- README.md +23 -1
- monks-1.test +432 -0
- monks-1.train +124 -0
- monks-2.test +432 -0
- monks-2.train +169 -0
- monks-3.test +432 -0
- monks-3.train +122 -0
- monks.names +78 -0
- monks.py +163 -0
README.md
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---
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---
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---
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language:
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- en
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tags:
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- student performance
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- tabular_classification
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pretty_name: Monk
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size_categories:
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- 1<n<100
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task_categories: # Full list at https://github.com/huggingface/hub-docs/blob/main/js/src/lib/interfaces/Types.ts
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- tabular-classification
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configs:
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- monks1
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- monks2
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- monks3
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# Monks
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The [Monk dataset](https://archive-beta.ics.uci.edu/dataset/70/monk+s+problems) from UCI.
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# Configurations and tasks
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| **Configuration** | **Task** |
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|-------------------|---------------------------|
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| monks1 | Binary classification |
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| monks2 | Binary classification |
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| monks3 | Binary classification |
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monks-1.test
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|
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224 |
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|
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|
226 |
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|
227 |
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|
228 |
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|
229 |
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|
230 |
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|
231 |
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|
232 |
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|
233 |
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|
234 |
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|
235 |
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|
236 |
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|
237 |
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|
238 |
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|
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|
240 |
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|
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262 |
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264 |
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272 |
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|
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|
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|
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|
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|
386 |
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|
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|
388 |
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|
389 |
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|
390 |
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|
391 |
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|
392 |
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|
393 |
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|
394 |
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|
395 |
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|
396 |
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|
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|
398 |
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|
399 |
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|
400 |
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|
401 |
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|
402 |
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|
403 |
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|
404 |
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|
405 |
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|
406 |
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|
407 |
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|
408 |
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|
409 |
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|
410 |
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|
411 |
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|
412 |
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|
413 |
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|
414 |
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|
415 |
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|
416 |
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|
417 |
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|
418 |
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|
419 |
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|
420 |
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|
421 |
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|
422 |
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|
423 |
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|
424 |
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|
425 |
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|
426 |
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|
427 |
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|
428 |
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|
429 |
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|
430 |
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|
431 |
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|
432 |
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|
monks-1.train
ADDED
@@ -0,0 +1,124 @@
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|
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|
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|
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|
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|
|
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|
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|
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|
|
|
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|
|
1 |
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1 1 1 1 1 3 1 data_5
|
2 |
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|
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|
4 |
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|
5 |
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|
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|
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|
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|
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|
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|
57 |
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|
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|
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68 |
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78 |
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|
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81 |
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89 |
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90 |
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|
92 |
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|
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106 |
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111 |
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112 |
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113 |
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|
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|
115 |
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|
116 |
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117 |
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118 |
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119 |
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|
120 |
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|
121 |
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|
122 |
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1 3 3 2 3 2 2 data_428
|
123 |
+
1 3 3 2 3 3 2 data_430
|
124 |
+
1 3 3 2 3 4 2 data_432
|
monks-2.test
ADDED
@@ -0,0 +1,432 @@
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1 |
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|
2 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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monks-2.train
ADDED
@@ -0,0 +1,169 @@
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143 |
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1 3 2 1 3 2 1 data_355
|
144 |
+
1 3 2 1 3 3 1 data_357
|
145 |
+
0 3 2 1 3 3 2 data_358
|
146 |
+
0 3 2 2 1 1 1 data_361
|
147 |
+
0 3 2 2 1 2 2 data_364
|
148 |
+
1 3 2 2 1 3 1 data_365
|
149 |
+
0 3 2 2 1 3 2 data_366
|
150 |
+
1 3 2 2 2 1 1 data_369
|
151 |
+
0 3 2 2 2 2 1 data_371
|
152 |
+
0 3 2 2 2 2 2 data_372
|
153 |
+
0 3 2 2 2 3 2 data_374
|
154 |
+
1 3 2 2 3 1 1 data_377
|
155 |
+
0 3 2 2 3 3 2 data_382
|
156 |
+
0 3 2 2 3 4 2 data_384
|
157 |
+
0 3 3 1 1 1 1 data_385
|
158 |
+
0 3 3 1 1 2 1 data_387
|
159 |
+
0 3 3 1 1 3 1 data_389
|
160 |
+
1 3 3 1 1 3 2 data_390
|
161 |
+
0 3 3 1 2 3 2 data_398
|
162 |
+
0 3 3 2 1 1 1 data_409
|
163 |
+
1 3 3 2 2 1 1 data_417
|
164 |
+
0 3 3 2 2 2 1 data_419
|
165 |
+
0 3 3 2 2 3 1 data_421
|
166 |
+
0 3 3 2 2 3 2 data_422
|
167 |
+
1 3 3 2 3 1 1 data_425
|
168 |
+
0 3 3 2 3 2 1 data_427
|
169 |
+
0 3 3 2 3 4 2 data_432
|
monks-3.test
ADDED
@@ -0,0 +1,432 @@
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|
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|
|
|
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|
|
|
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|
|
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|
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|
|
|
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|
|
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|
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|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
1 1 1 1 1 1 1 data_1
|
2 |
+
1 1 1 1 1 1 2 data_2
|
3 |
+
1 1 1 1 1 2 1 data_3
|
4 |
+
1 1 1 1 1 2 2 data_4
|
5 |
+
1 1 1 1 1 3 1 data_5
|
6 |
+
1 1 1 1 1 3 2 data_6
|
7 |
+
0 1 1 1 1 4 1 data_7
|
8 |
+
0 1 1 1 1 4 2 data_8
|
9 |
+
1 1 1 1 2 1 1 data_9
|
10 |
+
1 1 1 1 2 1 2 data_10
|
11 |
+
1 1 1 1 2 2 1 data_11
|
12 |
+
1 1 1 1 2 2 2 data_12
|
13 |
+
1 1 1 1 2 3 1 data_13
|
14 |
+
1 1 1 1 2 3 2 data_14
|
15 |
+
0 1 1 1 2 4 1 data_15
|
16 |
+
0 1 1 1 2 4 2 data_16
|
17 |
+
1 1 1 1 3 1 1 data_17
|
18 |
+
1 1 1 1 3 1 2 data_18
|
19 |
+
1 1 1 1 3 2 1 data_19
|
20 |
+
1 1 1 1 3 2 2 data_20
|
21 |
+
1 1 1 1 3 3 1 data_21
|
22 |
+
1 1 1 1 3 3 2 data_22
|
23 |
+
0 1 1 1 3 4 1 data_23
|
24 |
+
0 1 1 1 3 4 2 data_24
|
25 |
+
1 1 1 2 1 1 1 data_25
|
26 |
+
1 1 1 2 1 1 2 data_26
|
27 |
+
1 1 1 2 1 2 1 data_27
|
28 |
+
1 1 1 2 1 2 2 data_28
|
29 |
+
1 1 1 2 1 3 1 data_29
|
30 |
+
1 1 1 2 1 3 2 data_30
|
31 |
+
0 1 1 2 1 4 1 data_31
|
32 |
+
0 1 1 2 1 4 2 data_32
|
33 |
+
1 1 1 2 2 1 1 data_33
|
34 |
+
1 1 1 2 2 1 2 data_34
|
35 |
+
1 1 1 2 2 2 1 data_35
|
36 |
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1 1 1 2 2 2 2 data_36
|
37 |
+
1 1 1 2 2 3 1 data_37
|
38 |
+
1 1 1 2 2 3 2 data_38
|
39 |
+
0 1 1 2 2 4 1 data_39
|
40 |
+
0 1 1 2 2 4 2 data_40
|
41 |
+
1 1 1 2 3 1 1 data_41
|
42 |
+
1 1 1 2 3 1 2 data_42
|
43 |
+
1 1 1 2 3 2 1 data_43
|
44 |
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1 1 1 2 3 2 2 data_44
|
45 |
+
1 1 1 2 3 3 1 data_45
|
46 |
+
1 1 1 2 3 3 2 data_46
|
47 |
+
0 1 1 2 3 4 1 data_47
|
48 |
+
0 1 1 2 3 4 2 data_48
|
49 |
+
1 1 2 1 1 1 1 data_49
|
50 |
+
1 1 2 1 1 1 2 data_50
|
51 |
+
1 1 2 1 1 2 1 data_51
|
52 |
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1 1 2 1 1 2 2 data_52
|
53 |
+
1 1 2 1 1 3 1 data_53
|
54 |
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1 1 2 1 1 3 2 data_54
|
55 |
+
0 1 2 1 1 4 1 data_55
|
56 |
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0 1 2 1 1 4 2 data_56
|
57 |
+
1 1 2 1 2 1 1 data_57
|
58 |
+
1 1 2 1 2 1 2 data_58
|
59 |
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1 1 2 1 2 2 1 data_59
|
60 |
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1 1 2 1 2 2 2 data_60
|
61 |
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1 1 2 1 2 3 1 data_61
|
62 |
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1 1 2 1 2 3 2 data_62
|
63 |
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0 1 2 1 2 4 1 data_63
|
64 |
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0 1 2 1 2 4 2 data_64
|
65 |
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1 1 2 1 3 1 1 data_65
|
66 |
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1 1 2 1 3 1 2 data_66
|
67 |
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1 1 2 1 3 2 1 data_67
|
68 |
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1 1 2 1 3 2 2 data_68
|
69 |
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1 1 2 1 3 3 1 data_69
|
70 |
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1 1 2 1 3 3 2 data_70
|
71 |
+
0 1 2 1 3 4 1 data_71
|
72 |
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0 1 2 1 3 4 2 data_72
|
73 |
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1 1 2 2 1 1 1 data_73
|
74 |
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1 1 2 2 1 1 2 data_74
|
75 |
+
1 1 2 2 1 2 1 data_75
|
76 |
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1 1 2 2 1 2 2 data_76
|
77 |
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1 1 2 2 1 3 1 data_77
|
78 |
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1 1 2 2 1 3 2 data_78
|
79 |
+
0 1 2 2 1 4 1 data_79
|
80 |
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0 1 2 2 1 4 2 data_80
|
81 |
+
1 1 2 2 2 1 1 data_81
|
82 |
+
1 1 2 2 2 1 2 data_82
|
83 |
+
1 1 2 2 2 2 1 data_83
|
84 |
+
1 1 2 2 2 2 2 data_84
|
85 |
+
1 1 2 2 2 3 1 data_85
|
86 |
+
1 1 2 2 2 3 2 data_86
|
87 |
+
0 1 2 2 2 4 1 data_87
|
88 |
+
0 1 2 2 2 4 2 data_88
|
89 |
+
1 1 2 2 3 1 1 data_89
|
90 |
+
1 1 2 2 3 1 2 data_90
|
91 |
+
1 1 2 2 3 2 1 data_91
|
92 |
+
1 1 2 2 3 2 2 data_92
|
93 |
+
1 1 2 2 3 3 1 data_93
|
94 |
+
1 1 2 2 3 3 2 data_94
|
95 |
+
0 1 2 2 3 4 1 data_95
|
96 |
+
0 1 2 2 3 4 2 data_96
|
97 |
+
0 1 3 1 1 1 1 data_97
|
98 |
+
0 1 3 1 1 1 2 data_98
|
99 |
+
0 1 3 1 1 2 1 data_99
|
100 |
+
0 1 3 1 1 2 2 data_100
|
101 |
+
1 1 3 1 1 3 1 data_101
|
102 |
+
1 1 3 1 1 3 2 data_102
|
103 |
+
0 1 3 1 1 4 1 data_103
|
104 |
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0 1 3 1 1 4 2 data_104
|
105 |
+
0 1 3 1 2 1 1 data_105
|
106 |
+
0 1 3 1 2 1 2 data_106
|
107 |
+
0 1 3 1 2 2 1 data_107
|
108 |
+
0 1 3 1 2 2 2 data_108
|
109 |
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0 1 3 1 2 3 1 data_109
|
110 |
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0 1 3 1 2 3 2 data_110
|
111 |
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0 1 3 1 2 4 1 data_111
|
112 |
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0 1 3 1 2 4 2 data_112
|
113 |
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0 1 3 1 3 1 1 data_113
|
114 |
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0 1 3 1 3 1 2 data_114
|
115 |
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0 1 3 1 3 2 1 data_115
|
116 |
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0 1 3 1 3 2 2 data_116
|
117 |
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0 1 3 1 3 3 1 data_117
|
118 |
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0 1 3 1 3 3 2 data_118
|
119 |
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0 1 3 1 3 4 1 data_119
|
120 |
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0 1 3 1 3 4 2 data_120
|
121 |
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0 1 3 2 1 1 1 data_121
|
122 |
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0 1 3 2 1 1 2 data_122
|
123 |
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0 1 3 2 1 2 1 data_123
|
124 |
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0 1 3 2 1 2 2 data_124
|
125 |
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1 1 3 2 1 3 1 data_125
|
126 |
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1 1 3 2 1 3 2 data_126
|
127 |
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0 1 3 2 1 4 1 data_127
|
128 |
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0 1 3 2 1 4 2 data_128
|
129 |
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0 1 3 2 2 1 1 data_129
|
130 |
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0 1 3 2 2 1 2 data_130
|
131 |
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0 1 3 2 2 2 1 data_131
|
132 |
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0 1 3 2 2 2 2 data_132
|
133 |
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0 1 3 2 2 3 1 data_133
|
134 |
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0 1 3 2 2 3 2 data_134
|
135 |
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0 1 3 2 2 4 1 data_135
|
136 |
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0 1 3 2 2 4 2 data_136
|
137 |
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0 1 3 2 3 1 1 data_137
|
138 |
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0 1 3 2 3 1 2 data_138
|
139 |
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0 1 3 2 3 2 1 data_139
|
140 |
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0 1 3 2 3 2 2 data_140
|
141 |
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0 1 3 2 3 3 1 data_141
|
142 |
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0 1 3 2 3 3 2 data_142
|
143 |
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0 1 3 2 3 4 1 data_143
|
144 |
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0 1 3 2 3 4 2 data_144
|
145 |
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1 2 1 1 1 1 1 data_145
|
146 |
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1 2 1 1 1 1 2 data_146
|
147 |
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1 2 1 1 1 2 1 data_147
|
148 |
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1 2 1 1 1 2 2 data_148
|
149 |
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1 2 1 1 1 3 1 data_149
|
150 |
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1 2 1 1 1 3 2 data_150
|
151 |
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0 2 1 1 1 4 1 data_151
|
152 |
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0 2 1 1 1 4 2 data_152
|
153 |
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1 2 1 1 2 1 1 data_153
|
154 |
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1 2 1 1 2 1 2 data_154
|
155 |
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1 2 1 1 2 2 1 data_155
|
156 |
+
1 2 1 1 2 2 2 data_156
|
157 |
+
1 2 1 1 2 3 1 data_157
|
158 |
+
1 2 1 1 2 3 2 data_158
|
159 |
+
0 2 1 1 2 4 1 data_159
|
160 |
+
0 2 1 1 2 4 2 data_160
|
161 |
+
1 2 1 1 3 1 1 data_161
|
162 |
+
1 2 1 1 3 1 2 data_162
|
163 |
+
1 2 1 1 3 2 1 data_163
|
164 |
+
1 2 1 1 3 2 2 data_164
|
165 |
+
1 2 1 1 3 3 1 data_165
|
166 |
+
1 2 1 1 3 3 2 data_166
|
167 |
+
0 2 1 1 3 4 1 data_167
|
168 |
+
0 2 1 1 3 4 2 data_168
|
169 |
+
1 2 1 2 1 1 1 data_169
|
170 |
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1 2 1 2 1 1 2 data_170
|
171 |
+
1 2 1 2 1 2 1 data_171
|
172 |
+
1 2 1 2 1 2 2 data_172
|
173 |
+
1 2 1 2 1 3 1 data_173
|
174 |
+
1 2 1 2 1 3 2 data_174
|
175 |
+
0 2 1 2 1 4 1 data_175
|
176 |
+
0 2 1 2 1 4 2 data_176
|
177 |
+
1 2 1 2 2 1 1 data_177
|
178 |
+
1 2 1 2 2 1 2 data_178
|
179 |
+
1 2 1 2 2 2 1 data_179
|
180 |
+
1 2 1 2 2 2 2 data_180
|
181 |
+
1 2 1 2 2 3 1 data_181
|
182 |
+
1 2 1 2 2 3 2 data_182
|
183 |
+
0 2 1 2 2 4 1 data_183
|
184 |
+
0 2 1 2 2 4 2 data_184
|
185 |
+
1 2 1 2 3 1 1 data_185
|
186 |
+
1 2 1 2 3 1 2 data_186
|
187 |
+
1 2 1 2 3 2 1 data_187
|
188 |
+
1 2 1 2 3 2 2 data_188
|
189 |
+
1 2 1 2 3 3 1 data_189
|
190 |
+
1 2 1 2 3 3 2 data_190
|
191 |
+
0 2 1 2 3 4 1 data_191
|
192 |
+
0 2 1 2 3 4 2 data_192
|
193 |
+
1 2 2 1 1 1 1 data_193
|
194 |
+
1 2 2 1 1 1 2 data_194
|
195 |
+
1 2 2 1 1 2 1 data_195
|
196 |
+
1 2 2 1 1 2 2 data_196
|
197 |
+
1 2 2 1 1 3 1 data_197
|
198 |
+
1 2 2 1 1 3 2 data_198
|
199 |
+
0 2 2 1 1 4 1 data_199
|
200 |
+
0 2 2 1 1 4 2 data_200
|
201 |
+
1 2 2 1 2 1 1 data_201
|
202 |
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1 2 2 1 2 1 2 data_202
|
203 |
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1 2 2 1 2 2 1 data_203
|
204 |
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1 2 2 1 2 2 2 data_204
|
205 |
+
1 2 2 1 2 3 1 data_205
|
206 |
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1 2 2 1 2 3 2 data_206
|
207 |
+
0 2 2 1 2 4 1 data_207
|
208 |
+
0 2 2 1 2 4 2 data_208
|
209 |
+
1 2 2 1 3 1 1 data_209
|
210 |
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1 2 2 1 3 1 2 data_210
|
211 |
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1 2 2 1 3 2 1 data_211
|
212 |
+
1 2 2 1 3 2 2 data_212
|
213 |
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1 2 2 1 3 3 1 data_213
|
214 |
+
1 2 2 1 3 3 2 data_214
|
215 |
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0 2 2 1 3 4 1 data_215
|
216 |
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0 2 2 1 3 4 2 data_216
|
217 |
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1 2 2 2 1 1 1 data_217
|
218 |
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1 2 2 2 1 1 2 data_218
|
219 |
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1 2 2 2 1 2 1 data_219
|
220 |
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1 2 2 2 1 2 2 data_220
|
221 |
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1 2 2 2 1 3 1 data_221
|
222 |
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1 2 2 2 1 3 2 data_222
|
223 |
+
0 2 2 2 1 4 1 data_223
|
224 |
+
0 2 2 2 1 4 2 data_224
|
225 |
+
1 2 2 2 2 1 1 data_225
|
226 |
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1 2 2 2 2 1 2 data_226
|
227 |
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|
228 |
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|
229 |
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|
230 |
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|
231 |
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|
232 |
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|
233 |
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|
234 |
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|
235 |
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|
236 |
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|
237 |
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|
238 |
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|
239 |
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|
240 |
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|
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|
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|
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246 |
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248 |
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|
249 |
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250 |
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|
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252 |
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|
255 |
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256 |
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|
257 |
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|
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259 |
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|
260 |
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|
261 |
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|
262 |
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|
263 |
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|
264 |
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|
265 |
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|
266 |
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|
267 |
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|
268 |
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269 |
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270 |
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271 |
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|
272 |
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|
273 |
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|
274 |
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|
275 |
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|
276 |
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|
277 |
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|
278 |
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280 |
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|
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|
283 |
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|
284 |
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285 |
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|
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|
287 |
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|
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|
290 |
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|
291 |
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|
292 |
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|
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|
294 |
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|
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|
296 |
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|
297 |
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|
298 |
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|
299 |
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|
300 |
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|
301 |
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|
302 |
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|
303 |
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|
304 |
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|
305 |
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|
306 |
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|
307 |
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|
308 |
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|
309 |
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|
310 |
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|
311 |
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|
312 |
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|
313 |
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|
314 |
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|
315 |
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|
316 |
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|
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318 |
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|
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321 |
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|
322 |
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|
323 |
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|
324 |
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|
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326 |
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330 |
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|
331 |
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|
332 |
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|
333 |
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334 |
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|
335 |
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|
336 |
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337 |
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|
338 |
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339 |
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|
340 |
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341 |
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342 |
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343 |
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|
345 |
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|
346 |
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|
347 |
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|
348 |
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349 |
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350 |
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|
351 |
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352 |
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353 |
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|
354 |
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|
355 |
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|
356 |
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|
357 |
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|
358 |
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|
359 |
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|
360 |
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|
361 |
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|
362 |
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|
363 |
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|
364 |
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|
365 |
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366 |
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|
367 |
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|
368 |
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|
369 |
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|
370 |
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|
371 |
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|
372 |
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|
373 |
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|
374 |
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|
375 |
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376 |
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377 |
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|
378 |
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|
379 |
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|
380 |
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|
381 |
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|
382 |
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|
383 |
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|
384 |
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|
385 |
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|
386 |
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|
387 |
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|
388 |
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0 3 3 1 1 2 2 data_388
|
389 |
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1 3 3 1 1 3 1 data_389
|
390 |
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|
391 |
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0 3 3 1 1 4 1 data_391
|
392 |
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|
393 |
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|
394 |
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|
395 |
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|
396 |
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|
397 |
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|
398 |
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|
399 |
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|
400 |
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|
401 |
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|
402 |
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|
403 |
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|
404 |
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|
405 |
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|
406 |
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|
407 |
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|
408 |
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|
409 |
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|
410 |
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|
411 |
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|
412 |
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|
413 |
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1 3 3 2 1 3 1 data_413
|
414 |
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1 3 3 2 1 3 2 data_414
|
415 |
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0 3 3 2 1 4 1 data_415
|
416 |
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|
417 |
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|
418 |
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|
419 |
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|
420 |
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|
421 |
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0 3 3 2 2 3 1 data_421
|
422 |
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|
423 |
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|
424 |
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|
425 |
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|
426 |
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|
427 |
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|
428 |
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|
429 |
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|
430 |
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|
431 |
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|
432 |
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|
monks-3.train
ADDED
@@ -0,0 +1,122 @@
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|
|
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|
|
|
|
1 |
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1 1 1 1 1 1 2 data_2
|
2 |
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|
3 |
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|
4 |
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|
5 |
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|
6 |
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11 |
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13 |
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14 |
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|
16 |
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|
17 |
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|
18 |
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|
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20 |
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|
21 |
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|
22 |
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|
23 |
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|
24 |
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|
25 |
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|
26 |
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|
27 |
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|
28 |
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|
29 |
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|
30 |
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|
31 |
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|
32 |
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|
33 |
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|
34 |
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|
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|
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51 |
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|
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|
53 |
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|
54 |
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|
55 |
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|
56 |
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|
57 |
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|
58 |
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|
59 |
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|
60 |
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61 |
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|
62 |
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|
63 |
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|
64 |
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|
65 |
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|
66 |
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67 |
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|
68 |
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|
69 |
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|
71 |
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|
72 |
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|
73 |
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|
74 |
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|
75 |
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|
76 |
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|
77 |
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|
78 |
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|
79 |
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|
80 |
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0 2 3 1 3 3 1 data_261
|
81 |
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|
82 |
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|
83 |
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0 2 3 2 1 4 1 data_271
|
84 |
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|
85 |
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|
86 |
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|
87 |
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|
88 |
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|
89 |
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|
90 |
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|
91 |
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|
92 |
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|
93 |
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|
94 |
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|
95 |
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|
96 |
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|
97 |
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|
98 |
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|
99 |
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|
100 |
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|
101 |
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|
102 |
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|
103 |
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|
104 |
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|
105 |
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|
106 |
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|
107 |
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|
108 |
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|
109 |
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|
110 |
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|
111 |
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|
112 |
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|
113 |
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|
114 |
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0 3 3 1 3 2 2 data_404
|
115 |
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|
116 |
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|
117 |
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|
118 |
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|
119 |
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|
120 |
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0 3 3 2 3 1 1 data_425
|
121 |
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|
122 |
+
0 3 3 2 3 4 2 data_432
|
monks.names
ADDED
@@ -0,0 +1,78 @@
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|
1 |
+
|
2 |
+
1. Title: The Monk's Problems
|
3 |
+
|
4 |
+
2. Sources:
|
5 |
+
(a) Donor: Sebastian Thrun
|
6 |
+
School of Computer Science
|
7 |
+
Carnegie Mellon University
|
8 |
+
Pittsburgh, PA 15213, USA
|
9 |
+
|
10 |
+
E-mail: [email protected]
|
11 |
+
|
12 |
+
(b) Date: October 1992
|
13 |
+
|
14 |
+
3. Past Usage:
|
15 |
+
|
16 |
+
- See File: thrun.comparison.ps.Z
|
17 |
+
|
18 |
+
- Wnek, J., "Hypothesis-driven Constructive Induction," PhD dissertation,
|
19 |
+
School of Information Technology and Engineering, Reports of Machine
|
20 |
+
Learning and Inference Laboratory, MLI 93-2, Center for Artificial
|
21 |
+
Intelligence, George Mason University, March 1993.
|
22 |
+
|
23 |
+
- Wnek, J. and Michalski, R.S., "Comparing Symbolic and
|
24 |
+
Subsymbolic Learning: Three Studies," in Machine Learning: A
|
25 |
+
Multistrategy Approach, Vol. 4., R.S. Michalski and G. Tecuci (Eds.),
|
26 |
+
Morgan Kaufmann, San Mateo, CA, 1993.
|
27 |
+
|
28 |
+
4. Relevant Information:
|
29 |
+
|
30 |
+
The MONK's problem were the basis of a first international comparison
|
31 |
+
of learning algorithms. The result of this comparison is summarized in
|
32 |
+
"The MONK's Problems - A Performance Comparison of Different Learning
|
33 |
+
algorithms" by S.B. Thrun, J. Bala, E. Bloedorn, I. Bratko, B.
|
34 |
+
Cestnik, J. Cheng, K. De Jong, S. Dzeroski, S.E. Fahlman, D. Fisher,
|
35 |
+
R. Hamann, K. Kaufman, S. Keller, I. Kononenko, J. Kreuziger, R.S.
|
36 |
+
Michalski, T. Mitchell, P. Pachowicz, Y. Reich H. Vafaie, W. Van de
|
37 |
+
Welde, W. Wenzel, J. Wnek, and J. Zhang has been published as
|
38 |
+
Technical Report CS-CMU-91-197, Carnegie Mellon University in Dec.
|
39 |
+
1991.
|
40 |
+
|
41 |
+
One significant characteristic of this comparison is that it was
|
42 |
+
performed by a collection of researchers, each of whom was an advocate
|
43 |
+
of the technique they tested (often they were the creators of the
|
44 |
+
various methods). In this sense, the results are less biased than in
|
45 |
+
comparisons performed by a single person advocating a specific
|
46 |
+
learning method, and more accurately reflect the generalization
|
47 |
+
behavior of the learning techniques as applied by knowledgeable users.
|
48 |
+
|
49 |
+
There are three MONK's problems. The domains for all MONK's problems
|
50 |
+
are the same (described below). One of the MONK's problems has noise
|
51 |
+
added. For each problem, the domain has been partitioned into a train
|
52 |
+
and test set.
|
53 |
+
|
54 |
+
5. Number of Instances: 432
|
55 |
+
|
56 |
+
6. Number of Attributes: 8 (including class attribute)
|
57 |
+
|
58 |
+
7. Attribute information:
|
59 |
+
1. class: 0, 1
|
60 |
+
2. a1: 1, 2, 3
|
61 |
+
3. a2: 1, 2, 3
|
62 |
+
4. a3: 1, 2
|
63 |
+
5. a4: 1, 2, 3
|
64 |
+
6. a5: 1, 2, 3, 4
|
65 |
+
7. a6: 1, 2
|
66 |
+
8. Id: (A unique symbol for each instance)
|
67 |
+
|
68 |
+
8. Missing Attribute Values: None
|
69 |
+
|
70 |
+
9. Target Concepts associated to the MONK's problem:
|
71 |
+
|
72 |
+
MONK-1: (a1 = a2) or (a5 = 1)
|
73 |
+
|
74 |
+
MONK-2: EXACTLY TWO of {a1 = 1, a2 = 1, a3 = 1, a4 = 1, a5 = 1, a6 = 1}
|
75 |
+
|
76 |
+
MONK-3: (a5 = 3 and a4 = 1) or (a5 /= 4 and a2 /= 3)
|
77 |
+
(5% class noise added to the training set)
|
78 |
+
|
monks.py
ADDED
@@ -0,0 +1,163 @@
|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
1 |
+
"""Monk Dataset"""
|
2 |
+
|
3 |
+
from typing import List
|
4 |
+
from functools import partial
|
5 |
+
|
6 |
+
import datasets
|
7 |
+
|
8 |
+
import pandas
|
9 |
+
|
10 |
+
|
11 |
+
VERSION = datasets.Version("1.0.0")
|
12 |
+
_ORIGINAL_FEATURE_NAMES = [
|
13 |
+
"is_monk",
|
14 |
+
"head_shape",
|
15 |
+
"body_shape",
|
16 |
+
"is_smiling",
|
17 |
+
"holding",
|
18 |
+
"jacket_color",
|
19 |
+
"has_tie",
|
20 |
+
"ID"
|
21 |
+
]
|
22 |
+
_BASE_FEATURE_NAMES = [
|
23 |
+
"head_shape",
|
24 |
+
"body_shape",
|
25 |
+
"is_smiling",
|
26 |
+
"holding",
|
27 |
+
"jacket_color",
|
28 |
+
"has_tie",
|
29 |
+
"is_monk"
|
30 |
+
]
|
31 |
+
|
32 |
+
_ENCODING_DICS = {
|
33 |
+
"head_shape": {
|
34 |
+
0: "round",
|
35 |
+
1: "square",
|
36 |
+
2: "octagon",
|
37 |
+
},
|
38 |
+
"body_shape": {
|
39 |
+
0: "round",
|
40 |
+
1: "square",
|
41 |
+
2: "octagon",
|
42 |
+
},
|
43 |
+
"holding": {
|
44 |
+
0: "sword",
|
45 |
+
1: "baloon",
|
46 |
+
2: "flag",
|
47 |
+
},
|
48 |
+
"jacket_color": {
|
49 |
+
0: "red",
|
50 |
+
1: "yellow",
|
51 |
+
2: "green",
|
52 |
+
3: "blue"
|
53 |
+
},
|
54 |
+
"is_smiling": {
|
55 |
+
1: True,
|
56 |
+
0: False
|
57 |
+
},
|
58 |
+
"has_tie": {
|
59 |
+
1: True,
|
60 |
+
0: False
|
61 |
+
}
|
62 |
+
}
|
63 |
+
|
64 |
+
DESCRIPTION = "Monk quality dataset."
|
65 |
+
_HOMEPAGE = "https://archive-beta.ics.uci.edu/dataset/70/monk+s+problems"
|
66 |
+
_URLS = ("https://archive-beta.ics.uci.edu/dataset/70/monk+s+problems")
|
67 |
+
_CITATION = """
|
68 |
+
@misc{misc_monk's_problems_70,
|
69 |
+
author = {Wnek,J.},
|
70 |
+
title = {{MONK's Problems}},
|
71 |
+
year = {1992},
|
72 |
+
howpublished = {UCI Machine Learning Repository},
|
73 |
+
note = {{DOI}: \\url{10.24432/C5R30R}}
|
74 |
+
}"""
|
75 |
+
|
76 |
+
# Dataset info
|
77 |
+
urls_per_split = {
|
78 |
+
"monks1": {
|
79 |
+
"train": "https://huggingface.co/datasets/mstz/monks/raw/main/monks-1.train",
|
80 |
+
"test": "https://huggingface.co/datasets/mstz/monks/raw/main/monks-1.test"
|
81 |
+
},
|
82 |
+
"monks2": {
|
83 |
+
"train": "https://huggingface.co/datasets/mstz/monks/raw/main/monks-2.train",
|
84 |
+
"test": "https://huggingface.co/datasets/mstz/monks/raw/main/monks-2.test"
|
85 |
+
},
|
86 |
+
"monks3": {
|
87 |
+
"train": "https://huggingface.co/datasets/mstz/monks/raw/main/monks-3.train",
|
88 |
+
"test": "https://huggingface.co/datasets/mstz/monks/raw/main/monks-3.test"
|
89 |
+
}
|
90 |
+
}
|
91 |
+
features_types_per_config = {
|
92 |
+
"monks1": {
|
93 |
+
"head_shape": datasets.Value("string"),
|
94 |
+
"body_shape": datasets.Value("string"),
|
95 |
+
"is_smiling": datasets.Value("bool"),
|
96 |
+
"holding": datasets.Value("string"),
|
97 |
+
"jacket_color": datasets.Value("string"),
|
98 |
+
"has_tie": datasets.Value("bool"),
|
99 |
+
"is_monk": datasets.ClassLabel(num_classes=2)
|
100 |
+
}
|
101 |
+
|
102 |
+
}
|
103 |
+
features_per_config = {k: datasets.Features(features_types_per_config[k]) for k in features_types_per_config}
|
104 |
+
|
105 |
+
|
106 |
+
class MonkConfig(datasets.BuilderConfig):
|
107 |
+
def __init__(self, **kwargs):
|
108 |
+
super(MonkConfig, self).__init__(version=VERSION, **kwargs)
|
109 |
+
self.features = features_per_config[kwargs["name"]]
|
110 |
+
|
111 |
+
|
112 |
+
class Monk(datasets.GeneratorBasedBuilder):
|
113 |
+
# dataset versions
|
114 |
+
DEFAULT_CONFIG = "monks1"
|
115 |
+
BUILDER_CONFIGS = [
|
116 |
+
MonkConfig(name="monks1",
|
117 |
+
description="Monk 1 problem."),
|
118 |
+
MonkConfig(name="monks2",
|
119 |
+
description="Monk 2 problem."),
|
120 |
+
MonkConfig(name="monks3",
|
121 |
+
description="Monk 3 problem.")
|
122 |
+
]
|
123 |
+
|
124 |
+
|
125 |
+
def _info(self):
|
126 |
+
info = datasets.DatasetInfo(description=DESCRIPTION, citation=_CITATION, homepage=_HOMEPAGE,
|
127 |
+
features=features_per_config[self.config.name])
|
128 |
+
|
129 |
+
return info
|
130 |
+
|
131 |
+
def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
|
132 |
+
downloads = dl_manager.download_and_extract(urls_per_split)
|
133 |
+
|
134 |
+
return [
|
135 |
+
datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloads["train"]}),
|
136 |
+
]
|
137 |
+
|
138 |
+
def _generate_examples(self, filepath: str):
|
139 |
+
data = pandas.read_csv(filepath, header=None, sep=" ")
|
140 |
+
data = self.preprocess(data, config=self.config.name)
|
141 |
+
print(data.head())
|
142 |
+
|
143 |
+
for row_id, row in data.iterrows():
|
144 |
+
data_row = dict(row)
|
145 |
+
|
146 |
+
yield row_id, data_row
|
147 |
+
|
148 |
+
def preprocess(self, data: pandas.DataFrame, config: str = "monks1") -> pandas.DataFrame:
|
149 |
+
data.columns = _BASE_FEATURE_NAMES
|
150 |
+
data.drop("ID", axis="columns", inplace=True)
|
151 |
+
data.loc[:, "has_tie"] = data.has_tie.apply(bool)
|
152 |
+
data.loc[:, "is_smiling"] = data.is_smiling.apply(bool)
|
153 |
+
|
154 |
+
for feature in _ENCODING_DICS:
|
155 |
+
encoding_function = partial(self.encode, feature)
|
156 |
+
data.loc[:, feature] = data[feature].apply(encoding_function)
|
157 |
+
|
158 |
+
return data[list(features_types_per_config[config].keys())]
|
159 |
+
|
160 |
+
def encode(self, feature, value):
|
161 |
+
if feature in _ENCODING_DICS:
|
162 |
+
return _ENCODING_DICS[feature][value]
|
163 |
+
raise ValueError(f"Unknown feature: {feature}")
|