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uni/year4/semester1/CT4101: Machine Learning/assignments/assignment1/datasets/wildfires_test.csv

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1fireyeartemphumidityrainfalldrought_codebuildup_indexdaymonthwind_speed
2no201533684.59.125.0919616
3yes20092856038.1721.2112618
4no201730640.615.386.2424919
5no200723748.37.362.2714928
6no201731720.330.475.637917
7no201330730.116.283.584918
8yes201534660210.5562.9928816
9yes201336670131.234.9220819
10no20123474018.958.9411715
11no201532701.410.058.319716
12yes20133354080.9426.0227618
13yes20173255018.68.4421616
14no201433471.18.377.8722614
15no200733570.88.527.0723618
16yes20153666017.0110.7524617
17yes20103472026.0413.3425617
18yes20163664034.9217.2426617
19yes20073553043.3321.3927616
20yes20133635052.7727.5128614
21yes201037360.637.4418.829614
22no201435421.78.8611.5530616
23no200927562.28.924.191720
24yes20173447018.577.92716
25yes201335560.127.3210.473717
26yes20073460037.5614.944718
27yes20083346046.5319.475718
28yes201035400.345.9717.46716
29no200833611.157.3522.0424719
30no201139651.216.3911.742579
31no201536560.220.6110.7726712
32no20073086028.6412.2227718
33yes20123455037.7615.7328717
34yes20123557048.1719.9129716
35yes20143657058.124.4230718
36yes20093653067.2928.6531715
37no20173854011.55.071814
38yes200833380167.9464.1326818
39yes201536540177.8168.2727814
40no200934570.4166.5830.6928814
41yes201434520.5149.2131.0529818
42yes201335470159.8136.5730817
43yes200731600168.7339.6531820
44no2011308508.631.441917
45no20082769017.244.562921
46yes200929760256.443917
47no201229640.227.596.14915
48no200729594.18.674.425913
49no201135706.59.453.846916
50yes20123260018.536.887916
51yes20123187026.958.618914