Chapter VI
Machine Learning
78
VI.5. Data preprocessing
Table 1 presents the Data Type and Missing Values for each column in the database. It is
important to note that there are missing values requiring a cleaning phase.
Table VI-5 Parameter characteristics of CLASH database.
Column Number
Column Name
Data Type
Missing Values
1
Name
object
0
2
𝐻 𝑚𝑜 𝑑𝑒𝑒𝑝 (m)
float64
435
3
𝑇 𝑝 𝑑𝑒𝑒𝑝 (s)
float64
379
4
𝑇 𝑚 𝑑𝑒𝑒𝑝 (s)
float64
379
5
𝑇 𝑚−1,0 𝑑𝑒𝑒𝑝 (s)
float64
379
6
ℎ deep (m)
float64
1
7
m (-)
float64
54
8
𝛽(°)
float64
24
9
h (m)
float64
2
10
𝐻 𝑚0 𝑡𝑜𝑒 (m)
float64
35
11
𝑇 𝑝 𝑡𝑜𝑒 (s)
float64
59
12
𝑇 𝑚 𝑡𝑜𝑒 (s)
float64
59
13
𝑇 𝑚−1,0 𝑡𝑜𝑒 (s)
float64
25
14
ℎ 𝑡 (m)
float64
1
15
𝐵 t (m)
float64
0
16
ɣ 𝑓 (-)
float64
16
17
𝑐𝑜𝑡 𝛼𝑑 (-)
float64
0
18
𝑐𝑜𝑡 αu (-)
float64
0
19
𝑐𝑜𝑡 𝛼excl (-)
float64
26
20
𝑐𝑜𝑡 αincl (-)
float64
26
21
𝑅 𝑐 (m)
float64
1
22
B (m)
float64
0
23
ℎ 𝑏 (m)
float64
0
24
𝑡𝑎𝑛 𝛼𝐵 (-)
float64
0
25
𝐵 ℎ (m)
float64
0
26
Ac (m)
float64
0
27
Gc (m)
float64
0
28
RF (-)
int64
0
29
CF (-)
int64
0
30
q (𝑚
3 /𝑠/𝑚)
object
7
31
𝑃 𝑜𝑤
float64
9792
32
Remark
object
10023
33
Reference
object
2816