Homework 4: Decision Tree Inductive Learning
Due by 10 am on April 12
The file “dt_train.csv” contains 601 lines with 10 variables. The first line contains column headers that may be interpreted as follows:
id: observation identifier.
t1: measurement on test 1; t2: measurement on test 2.
t3: measurement on test 3; t4: measurement on test 4.
t5: measurement on test 5; t6: measurement on test 6.
t7: measurement on test 7; t8: measurement on test 8.
d: binary output variable set to 1 if product is defective and 0 otherwise.
The next lines contain examples, for which the values of the above features are specified.
The table below reproduces the first 2 observations.
| id | t1 | t2 | t3 | t4 | t5 | t6 | t7 | t8 | d |
|---|---|---|---|---|---|---|---|---|---|
| 1 | 17 | 3 | 31 | 54 | 66 | 54 | 45 | 84 | 1 |
| 2 | 2 | 15 | 6 | 5 | 82 | 54 | 59 | 87 | 1 |
| new_case | t1 | t2 | t3 | t4 | t5 | t6 | t7 | t8 | d |
|---|---|---|---|---|---|---|---|---|---|
| 1 | 8 | 86 | 55 | 53 | 36 | 12 | 82 | 19 | |
| 2 | 22 | 36 | 80 | 69 | 90 | 33 | 22 | 6 | |
| 3 | 74 | 26 | 32 | 26 | 38 | 52 | 63 | 12 | |
| 4 | 66 | 71 | 71 | 52 | 42 | 88 | 89 | 70 | |
| 5 | 55 | 72 | 61 | 41 | 91 | 39 | 50 | 96 | |
| 6 | 34 | 58 | 22 | 84 | 84 | 61 | 95 | 57 | |
| 7 | 23 | 70 | 39 | 65 | 16 | 71 | 96 | 78 | |
| 8 | 9 | 19 | 67 | 43 | 2 | 20 | 92 | 3 | |
| 9 | 6 | 71 | 20 | 6 | 27 | 58 | 6 | 22 | |
| 10 | 68 | 40 | 86 | 82 | 82 | 44 | 61 | 48 |
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