Make a 0/1 column defect (1 = defective). Use the inputs temperature_c, vibration_mm_s, pressure_bar and rpm, and split with train_test_split (test_size=0.25, random_state=42, stratify on defect).
Train the RBF pipeline (C=1, gamma="scale") and store its recall on the test part, rounded to 3 decimals, in result.
import io
import pandas as pd
readings = pd.read_csv(io.StringIO("""reading_id,temperature_c,vibration_mm_s,pressure_bar,rpm,defective
1,91.3,3.1,5.8,1588,Yes
2,73.1,3.8,5.8,1448,No
3,61.2,0.2,5.5,1480,Yes
4,75.5,3.7,5.7,1415,No
5,75.7,4.4,6.8,1467,No
6,70.1,4.2,5.5,1364,No
7,62.7,3.6,5.5,1376,No
8,75.6,2.4,6.6,1489,No
9,75.6,3.2,5.3,1475,No
10,68.9,2.6,5.1,1521,No
11,58.1,3.8,6.2,1637,Yes
12,70.8,3.8,7.2,1372,No
13,65.5,3.1,5.5,1511,No
14,69.8,4,5.8,1423,No
15,79,3,7.3,1514,No
16,81.7,4.9,6.7,1249,No
17,71,5.2,6.3,1424,No
18,81.9,4.2,5.5,1605,No
19,79,0.9,5,1753,No
20,77,3.1,5.2,1559,No
21,75.1,2.5,7.9,1455,No
22,82.3,3.9,6.6,1531,No
23,71.3,2.1,4.5,1656,No
24,76.6,0.7,6.4,1542,No
25,85.8,3.9,5.7,1424,No
26,89.2,4.9,6.2,1662,Yes
27,90.3,1.4,5.9,1439,Yes
28,75,3.4,6.5,1566,No
29,73.6,2.2,7.1,1503,No
30,88.3,1.8,6.7,1509,No
31,88.2,2.9,4.7,1527,No
32,84.8,4.4,6.4,1656,No
33,44.4,5.8,5.4,1492,Yes
34,72.2,1.9,5.8,1604,No
35,75.5,1,6.5,1551,No
36,78.5,3.5,4.3,1621,No
37,89.8,3,7.1,1744,No
38,73.6,0.5,6.2,1393,Yes
39,79,4.9,5.2,1773,No
40,85.9,4.3,4.5,1774,No
41,73.5,1.7,7.1,1491,No
42,62.4,3.8,6.7,1323,No
43,88.4,3.4,5.4,1577,No
44,74.1,4.2,6.7,1394,No
45,93.1,2.3,6.5,1471,Yes
46,64,2.5,6.7,1254,No
47,72.2,2.8,6.3,1306,No
48,55.9,3.8,6.6,1347,Yes
49,76,1,6.8,1425,No
50,85.6,2.3,6.7,1321,No
51,68.2,1.8,5.5,1520,No
52,78.4,4,6.1,1671,No
53,78.6,2.3,3.1,1524,No
54,85.1,3.3,6,1576,No
55,69.7,2,6.6,1582,No
56,76.1,0.3,6.1,1366,Yes
57,77.7,4.4,6.6,1471,No
58,90.4,5.7,6.1,1701,Yes
59,78.1,3.8,6.3,1481,No
60,80.1,3.1,5.4,1623,No
61,64.7,2.2,4.7,1495,No
62,92.3,5.8,6.9,1423,Yes
63,60.1,1,5.6,1556,Yes
64,75.5,1.5,6.7,1583,No
65,72.1,3.1,4.4,1411,No
66,66.1,0.9,3.9,1298,Yes
67,65,1.5,5.7,1595,No
68,71.7,3.1,5.2,1460,No
69,75.9,3.5,7.3,1359,No
70,70.8,4.1,6.2,1565,No
71,76.8,2.9,6.2,1635,No
72,72,1.6,4.7,1450,No
73,66.4,4,7.3,1547,No
74,95.5,0.4,7.6,1483,Yes
75,67.9,2.5,5.9,1397,No
76,72.9,1.7,6.6,1466,No
77,75.6,1.8,7.1,1718,No
78,79.1,2.1,7.1,1386,No
79,76.2,2.4,6.6,1505,No
80,97.6,2.3,6.6,1422,Yes
81,85.2,1.5,5.9,1380,No
82,76,1.8,6.4,1507,No
83,83.7,1.9,5.9,1472,No
84,82.4,2.6,4.5,1571,No
85,72.5,2.4,6,1373,No
86,76.5,3.8,4.2,1572,No
87,77.9,3.6,4.9,1515,No
88,63,2.8,5.2,1537,No
89,89,3.9,5,1597,No
90,87.2,2,5.9,1523,No
91,91.2,3.3,6.2,1767,Yes
92,73.1,7,6.3,1311,Yes
93,63.5,3.9,6.4,1612,No
94,74.3,4,6.9,1641,No
95,89.5,1.8,5.4,1507,Yes
96,85,0.8,6.4,1509,Yes
97,88.4,3.6,6.3,1458,No
98,72.6,7,5.7,1364,Yes
99,69.4,2,5.3,1307,No
100,74.4,1.5,6.2,1522,No
101,90.6,3.6,5.8,1592,No
102,80.4,1.4,5.2,1509,No
103,83.2,2.4,6.3,1604,No
104,71.5,0.6,5.7,1349,No
105,61.4,2.7,7.1,1190,No
106,71,1.7,5.8,1592,No
107,59,1.3,6.4,1369,Yes
108,71.8,1.3,5.9,1529,No
109,76.4,4.5,4.4,1447,No
110,60.3,0.5,6.5,1604,Yes
111,72.7,1.9,6.5,1862,No
112,84.3,2.8,7.2,1521,No
113,71.4,2.8,8,1542,No
114,82.4,5,6.5,1668,No
115,66.4,3.2,6,1371,No
116,58.7,5.1,5.6,1570,Yes
117,79.7,2.7,6.9,1429,No
118,78.1,3.8,4.2,1558,No
119,72.5,3.4,6.8,1513,No
120,77.1,3.1,8.1,1627,No
121,69.4,4.6,6.3,1456,No
122,74,5.4,6.7,1700,No
123,62.7,4.7,5.9,1627,Yes
124,65.3,0.7,5.5,1513,Yes
125,77.2,2.5,6.2,1550,No
126,64.9,4.2,6.5,1541,No
127,76,3.7,7.2,1542,No
128,80,2.9,6.3,1505,No
129,83.9,3.6,7.9,1428,No
130,78.3,4.1,6.2,1350,No
131,64.7,4.1,6.2,1631,No
132,83.8,2.1,5.6,1289,Yes
133,80.9,3,7.6,1444,No
134,73.1,1.5,7.7,1695,No
135,73.8,1.7,6.8,1489,No
136,83.3,3.1,5.2,1312,No
137,87.9,2.1,6.9,1433,No
138,73.1,2.6,4.8,1469,No
139,73.6,3.7,6.7,1369,No
140,69.6,3.6,6.6,1423,No
141,64.9,3,5.6,1680,No
142,83.1,3,6.5,1751,No
143,96.9,2.7,6.4,1463,Yes
144,79.9,2.7,6.5,1578,No
145,67.5,5.3,7,1724,Yes
146,83.5,3.9,5.6,1336,No
147,82.2,4.8,5,1510,No
148,73,5.1,6.3,1552,No
149,73.2,4.1,5.6,1431,No
150,76.8,4.2,4.7,1394,No
151,61.8,0.6,5,1470,Yes
152,72.3,4.2,5.7,1543,No
153,57.5,0.8,7.2,1572,Yes
154,76.5,3.3,7.1,1467,No
155,75.7,4.4,6.4,1682,No
156,69.6,1.5,4.3,1380,No
157,78,2.6,6.9,1411,No
158,59.2,5.4,6.9,1527,Yes
159,81.7,0.2,5.6,1412,No
160,86.1,4.8,6.6,1747,No
161,89.6,2,7.3,1413,No
162,70,2.7,5.9,1412,No
163,75.3,5,5.5,1529,No
164,71.9,5.4,6.5,1439,No
165,77.3,2.1,4.9,1308,No
166,82.8,4.9,6.3,1543,No
167,76.5,0.9,5.9,1615,Yes
168,82.3,4.7,6.2,1558,No
169,74.5,3.8,5.4,1415,No
170,65.8,1,6.7,1570,No
171,78,3,8.2,1428,No
172,69.9,3.2,4.6,1703,No
173,64.8,7.2,4.1,1616,Yes
174,63.4,1.3,5.3,1429,No
175,69.5,5.1,5.2,1517,No
176,76.6,2.3,7,1704,No
177,82.1,1.9,6.5,1566,No
178,78.1,3.4,5.8,1404,No
179,49.6,2.1,6.2,1462,Yes
180,83.7,1.6,7.6,1500,No
181,80.1,1.9,6.3,1687,No
182,68.7,4.6,7.3,1437,No
183,64.2,3.1,4.9,1566,No
184,73.9,2.6,5.9,1360,No
185,67.9,3.6,5.1,1618,No
186,102.9,2.2,5.8,1455,Yes
187,73,4.6,6.2,1546,No
188,69.3,3.8,6.8,1579,No
189,69,3.3,5.6,1393,No
190,75.6,0.2,7.7,1541,Yes
191,68.1,4.8,5.3,1512,Yes
192,80.1,1.2,5.1,1701,No
193,65.5,1.5,7.6,1539,No
194,74.7,4.5,7.8,1470,No
195,74.6,5.1,5.7,1718,No
196,75,3.8,6.5,1371,No
197,67.2,2.3,4.9,1381,No
198,84.2,2.3,7.1,1470,No
199,76.4,1.8,6.7,1610,No
200,55.9,3.7,4.6,1628,Yes
201,73,1.2,5.9,1468,No
202,56.9,3.6,5,1420,Yes
203,79.3,2.7,6.9,1598,No
204,87.2,2,6.2,1649,No
205,83.3,3.3,5.8,1776,No
206,90.8,0.7,7.4,1323,Yes
207,86.6,2.8,6.1,1439,No
208,64.2,1.7,6.3,1626,No
209,74.2,3.4,7.4,1526,No
210,89.9,5.4,5.3,1468,Yes
211,78.7,3,7,1407,No
212,98.1,3.8,5.6,1661,Yes
213,71.8,1.4,7.1,1564,No
214,79.6,4,6.7,1470,No
215,61.9,2.6,6,1689,No
216,84,5,6.9,1513,No
217,70.4,4.2,6.5,1455,No
218,77.4,4.6,4.9,1368,No
219,68.1,5.5,6.2,1589,Yes
220,69.7,0.4,7.1,1443,Yes
221,82.7,2.5,4.7,1696,No
222,76,3.2,5.1,1400,No
223,70.2,4.9,5.5,1533,No
224,58.9,3.9,6.2,1227,Yes
225,75,3.3,6.3,1414,No
226,69.8,1.9,6.1,1520,No
227,73.2,1.9,6.4,1712,No
228,69.4,1.8,6.7,1603,No
229,72.5,2.7,6.3,1630,No
230,72.7,2.5,5.6,1429,No
231,69.4,1.6,6.8,1481,Yes
232,65.6,3.2,5.1,1468,No
233,74,4.3,5.8,1439,No
234,67.5,3.5,5.4,1553,No
235,72.8,2.1,5.6,1342,No
236,76.2,6.2,6.2,1664,Yes
237,81.9,4.2,6.4,1442,No
238,78.5,2.6,6.4,1631,No
239,85.6,4.4,6.5,1516,No
240,80.1,1.5,5.5,1619,No
241,47.5,2.8,6.3,1171,Yes
242,69.3,1.5,5.5,1577,No
243,80.5,0.8,6.4,1574,No
244,75.1,2.4,7.2,1473,Yes
245,65.3,2,6.5,1608,No
246,83.7,1.6,6.3,1503,No
247,83.7,0.2,5.9,1436,Yes
248,69.5,4,6,1534,No
249,75.7,1.2,5.9,1523,No
250,77.3,2.3,7.3,1369,No
251,68.6,1.9,6.8,1578,No
252,69.5,0.2,6.9,1508,Yes
253,61.6,1.5,5.8,1534,Yes
254,75.4,2.5,5,1546,No
255,64.5,2.9,6,1359,No
256,80.6,4,6.6,1520,No
257,80.6,3.2,6.2,1310,No
258,77.1,1.9,5.3,1834,No
259,65.4,3.4,7,1550,No
260,70.5,2.6,7.6,1621,No
261,79.8,3.2,5.7,1446,No
262,73,1.5,4.5,1639,Yes
263,81.6,6.2,5.6,1523,Yes
264,87.5,0.2,7.3,1474,Yes
265,95.5,1.8,7.3,1371,Yes
266,78.3,4.1,5.2,1487,No
267,71.6,3.9,4.6,1488,No
268,101.6,1.8,5.5,1475,Yes
269,71,3.3,4.5,1502,No
270,60.6,2.9,4.3,1384,No
271,75.7,4.4,5.3,1826,No
272,65.9,3.8,6.9,1272,No
273,66,4.1,7.1,1365,No
274,76.4,4.6,5.5,1553,No
275,63.4,3.4,7,1642,No
276,74.5,4.5,5.3,1692,No
277,78.9,0.3,5.7,1455,Yes
278,69.2,2.5,6.5,1483,No
279,78.2,3.3,4.8,1633,No
280,80.2,2.8,5.3,1400,No
281,63,3.2,5.6,1632,No
282,81.6,2.9,5.5,1343,No
283,77.8,2,6.3,1677,No
284,72,2.4,6.2,1472,No
285,71.3,2.4,5,1682,No
286,75.4,3.8,5.3,1445,No
287,77.6,1.7,6.6,1454,No
288,86.1,4.3,6.6,1481,No
289,69.1,1.8,6.7,1853,No
290,71.3,4.3,6.5,1387,No
291,74,4.5,7.3,1425,No
292,53.9,3.7,4.7,1469,Yes
293,73.4,2.4,6.9,1471,No
294,75.3,3.6,5.9,1540,No
295,73.2,4.3,5.2,1565,No
296,64.7,2,6.7,1410,No
297,79.2,7,4.3,1589,Yes
298,79.2,3.2,6.1,1567,No
299,69.4,3.6,6.6,1456,Yes
300,80.9,1.9,6,1202,No
301,65,2.4,3.2,1616,No
302,80.3,2.6,6.8,1443,No
303,74,4.1,5.5,1483,No
304,85.7,5.4,7.5,1516,Yes
305,79.1,1.8,5.1,1357,No
306,95.6,4.5,4.8,1607,Yes
307,71,4,6.9,1352,No
308,81.1,3.7,6.5,1651,No
309,63.1,2.2,3,1662,No
310,81,3,5.5,1413,No
311,93.5,4,5.4,1700,Yes
312,86.2,0.9,7.8,1664,Yes
313,82.7,3.2,5.8,1297,No
314,66.9,2,4.9,1455,No
315,77.3,4.8,6.7,1567,No
316,77.7,1.9,7,1526,No
317,78.7,1.1,4.4,1521,No
318,69.9,3.8,6.2,1413,Yes
319,72.9,3.5,4.5,1452,No
320,63.7,2.2,6.4,1611,No"""))Store your final answer in a variable named result.
Each hint gives a little more help. Try on your own first.
Run your code to see the output here.