{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Missing Values\n",
"\n",
"Another aspect of data that often requires preprocessing is missing data. Missing data is that that was not measured or recorded for some reason.\n",
"Sometimes, data is missing at random, for reasons unrelated to the task at hand. Other times (and more commonly) data is missing because of some structural aspect of the problem.\n",
" todo reluctant users example\n",
"\n",
"## Detecting Missing Values\n",
"\n",
"The first question you should ask yourself is 'do I have missing data'? Often, but not always, pandas might have been able to detect missing values when reading the data.\n",
"Let's look at the lending club data again:"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"
\n",
"\n",
"
\n",
" \n",
"
\n",
"
\n",
"
id
\n",
"
member_id
\n",
"
loan_amnt
\n",
"
funded_amnt
\n",
"
funded_amnt_inv
\n",
"
term
\n",
"
int_rate
\n",
"
installment
\n",
"
grade
\n",
"
sub_grade
\n",
"
...
\n",
"
hardship_payoff_balance_amount
\n",
"
hardship_last_payment_amount
\n",
"
disbursement_method
\n",
"
debt_settlement_flag
\n",
"
debt_settlement_flag_date
\n",
"
settlement_status
\n",
"
settlement_date
\n",
"
settlement_amount
\n",
"
settlement_percentage
\n",
"
settlement_term
\n",
"
\n",
" \n",
" \n",
"
\n",
"
0
\n",
"
NaN
\n",
"
NaN
\n",
"
2500
\n",
"
2500
\n",
"
2500
\n",
"
36 months
\n",
"
13.56
\n",
"
84.92
\n",
"
C
\n",
"
C1
\n",
"
...
\n",
"
NaN
\n",
"
NaN
\n",
"
Cash
\n",
"
N
\n",
"
NaN
\n",
"
NaN
\n",
"
NaN
\n",
"
NaN
\n",
"
NaN
\n",
"
NaN
\n",
"
\n",
"
\n",
"
1
\n",
"
NaN
\n",
"
NaN
\n",
"
30000
\n",
"
30000
\n",
"
30000
\n",
"
60 months
\n",
"
18.94
\n",
"
777.23
\n",
"
D
\n",
"
D2
\n",
"
...
\n",
"
NaN
\n",
"
NaN
\n",
"
Cash
\n",
"
N
\n",
"
NaN
\n",
"
NaN
\n",
"
NaN
\n",
"
NaN
\n",
"
NaN
\n",
"
NaN
\n",
"
\n",
"
\n",
"
2
\n",
"
NaN
\n",
"
NaN
\n",
"
5000
\n",
"
5000
\n",
"
5000
\n",
"
36 months
\n",
"
17.97
\n",
"
180.69
\n",
"
D
\n",
"
D1
\n",
"
...
\n",
"
NaN
\n",
"
NaN
\n",
"
Cash
\n",
"
N
\n",
"
NaN
\n",
"
NaN
\n",
"
NaN
\n",
"
NaN
\n",
"
NaN
\n",
"
NaN
\n",
"
\n",
"
\n",
"
3
\n",
"
NaN
\n",
"
NaN
\n",
"
4000
\n",
"
4000
\n",
"
4000
\n",
"
36 months
\n",
"
18.94
\n",
"
146.51
\n",
"
D
\n",
"
D2
\n",
"
...
\n",
"
NaN
\n",
"
NaN
\n",
"
Cash
\n",
"
N
\n",
"
NaN
\n",
"
NaN
\n",
"
NaN
\n",
"
NaN
\n",
"
NaN
\n",
"
NaN
\n",
"
\n",
"
\n",
"
4
\n",
"
NaN
\n",
"
NaN
\n",
"
30000
\n",
"
30000
\n",
"
30000
\n",
"
60 months
\n",
"
16.14
\n",
"
731.78
\n",
"
C
\n",
"
C4
\n",
"
...
\n",
"
NaN
\n",
"
NaN
\n",
"
Cash
\n",
"
N
\n",
"
NaN
\n",
"
NaN
\n",
"
NaN
\n",
"
NaN
\n",
"
NaN
\n",
"
NaN
\n",
"
\n",
" \n",
"
\n",
"
5 rows × 145 columns
\n",
"
"
],
"text/plain": [
" id member_id loan_amnt funded_amnt funded_amnt_inv term \\\n",
"0 NaN NaN 2500 2500 2500 36 months \n",
"1 NaN NaN 30000 30000 30000 60 months \n",
"2 NaN NaN 5000 5000 5000 36 months \n",
"3 NaN NaN 4000 4000 4000 36 months \n",
"4 NaN NaN 30000 30000 30000 60 months \n",
"\n",
" int_rate installment grade sub_grade ... hardship_payoff_balance_amount \\\n",
"0 13.56 84.92 C C1 ... NaN \n",
"1 18.94 777.23 D D2 ... NaN \n",
"2 17.97 180.69 D D1 ... NaN \n",
"3 18.94 146.51 D D2 ... NaN \n",
"4 16.14 731.78 C C4 ... NaN \n",
"\n",
" hardship_last_payment_amount disbursement_method debt_settlement_flag \\\n",
"0 NaN Cash N \n",
"1 NaN Cash N \n",
"2 NaN Cash N \n",
"3 NaN Cash N \n",
"4 NaN Cash N \n",
"\n",
" debt_settlement_flag_date settlement_status settlement_date \\\n",
"0 NaN NaN NaN \n",
"1 NaN NaN NaN \n",
"2 NaN NaN NaN \n",
"3 NaN NaN NaN \n",
"4 NaN NaN NaN \n",
"\n",
" settlement_amount settlement_percentage settlement_term \n",
"0 NaN NaN NaN \n",
"1 NaN NaN NaN \n",
"2 NaN NaN NaN \n",
"3 NaN NaN NaN \n",
"4 NaN NaN NaN \n",
"\n",
"[5 rows x 145 columns]"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import pandas as pd\n",
"loans = pd.read_csv(\"C:/Users/t3kci/Downloads/loan.csv/loan.csv\", nrows=10000)\n",
"loans.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"You can see that many of the values are shown as NaN, which is how missing values are usually displayed in pandas. We can also check whether a column has NaN values by using the ``isna`` method:"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# are any NaNs in the loan amount column?\n",
"loans.loan_amnt.isna().any()"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# are any NaNs in the int_rate column?\n",
"loans.int_rate.isna().any()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We can see that both the ``loan_amnt`` and ``int_rate`` column are always present. We can also check the same for all columns at once:"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"id True\n",
"member_id True\n",
"loan_amnt False\n",
"funded_amnt False\n",
"funded_amnt_inv False\n",
"term False\n",
"int_rate False\n",
"installment False\n",
"grade False\n",
"sub_grade False\n",
"emp_title True\n",
"emp_length True\n",
"home_ownership False\n",
"annual_inc False\n",
"verification_status False\n",
"issue_d False\n",
"loan_status False\n",
"pymnt_plan False\n",
"url True\n",
"desc True\n",
"dtype: bool"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"loans.isna().any().head(20)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"You can see that for example ``emp_title`` and ``emp_length`` and ``url`` are sometimes missing. Now, the next question is whether we can find out what this means. Does that mean the borrower was not employed? Or does that mean that the borrower didn't provide any information? Often the easiest way to find this out is to look at the data description or data dictionaty. We might also check if there is another value that indicates 'not employed' ."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Unfortunately, missing values are not always encoded as clearly. Sometimes they might be encoded as ``'?'`` or ``'missing'`` or ``\"Na\"`` or similar strings. Sometimes they might also be encoded as numbers such as -1.\n",
"Often you can tell whether one of these methods was used by the dtype of your columns. For example, in the often-used titanic dataset, missingness is encoded as ``'?'``.\n"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"
\n",
"\n",
"
\n",
" \n",
"
\n",
"
\n",
"
pclass
\n",
"
survived
\n",
"
name
\n",
"
sex
\n",
"
age
\n",
"
sibsp
\n",
"
parch
\n",
"
ticket
\n",
"
fare
\n",
"
cabin
\n",
"
embarked
\n",
"
boat
\n",
"
body
\n",
"
home.dest
\n",
"
\n",
" \n",
" \n",
"
\n",
"
0
\n",
"
1
\n",
"
1
\n",
"
Allen, Miss. Elisabeth Walton
\n",
"
female
\n",
"
29
\n",
"
0
\n",
"
0
\n",
"
24160
\n",
"
211.3375
\n",
"
B5
\n",
"
S
\n",
"
2
\n",
"
?
\n",
"
St Louis, MO
\n",
"
\n",
"
\n",
"
1
\n",
"
1
\n",
"
1
\n",
"
Allison, Master. Hudson Trevor
\n",
"
male
\n",
"
0.9167
\n",
"
1
\n",
"
2
\n",
"
113781
\n",
"
151.55
\n",
"
C22 C26
\n",
"
S
\n",
"
11
\n",
"
?
\n",
"
Montreal, PQ / Chesterville, ON
\n",
"
\n",
"
\n",
"
2
\n",
"
1
\n",
"
0
\n",
"
Allison, Miss. Helen Loraine
\n",
"
female
\n",
"
2
\n",
"
1
\n",
"
2
\n",
"
113781
\n",
"
151.55
\n",
"
C22 C26
\n",
"
S
\n",
"
?
\n",
"
?
\n",
"
Montreal, PQ / Chesterville, ON
\n",
"
\n",
"
\n",
"
3
\n",
"
1
\n",
"
0
\n",
"
Allison, Mr. Hudson Joshua Creighton
\n",
"
male
\n",
"
30
\n",
"
1
\n",
"
2
\n",
"
113781
\n",
"
151.55
\n",
"
C22 C26
\n",
"
S
\n",
"
?
\n",
"
135
\n",
"
Montreal, PQ / Chesterville, ON
\n",
"
\n",
"
\n",
"
4
\n",
"
1
\n",
"
0
\n",
"
Allison, Mrs. Hudson J C (Bessie Waldo Daniels)
\n",
"
female
\n",
"
25
\n",
"
1
\n",
"
2
\n",
"
113781
\n",
"
151.55
\n",
"
C22 C26
\n",
"
S
\n",
"
?
\n",
"
?
\n",
"
Montreal, PQ / Chesterville, ON
\n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" pclass survived name sex \\\n",
"0 1 1 Allen, Miss. Elisabeth Walton female \n",
"1 1 1 Allison, Master. Hudson Trevor male \n",
"2 1 0 Allison, Miss. Helen Loraine female \n",
"3 1 0 Allison, Mr. Hudson Joshua Creighton male \n",
"4 1 0 Allison, Mrs. Hudson J C (Bessie Waldo Daniels) female \n",
"\n",
" age sibsp parch ticket fare cabin embarked boat body \\\n",
"0 29 0 0 24160 211.3375 B5 S 2 ? \n",
"1 0.9167 1 2 113781 151.55 C22 C26 S 11 ? \n",
"2 2 1 2 113781 151.55 C22 C26 S ? ? \n",
"3 30 1 2 113781 151.55 C22 C26 S ? 135 \n",
"4 25 1 2 113781 151.55 C22 C26 S ? ? \n",
"\n",
" home.dest \n",
"0 St Louis, MO \n",
"1 Montreal, PQ / Chesterville, ON \n",
"2 Montreal, PQ / Chesterville, ON \n",
"3 Montreal, PQ / Chesterville, ON \n",
"4 Montreal, PQ / Chesterville, ON "
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"titanic = pd.read_csv(\"../data/titanic.csv\")\n",
"titanic.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"If you looked as ``isna`` it would look like none of the values is missing:"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"pclass False\n",
"survived False\n",
"name False\n",
"sex False\n",
"age False\n",
"sibsp False\n",
"parch False\n",
"ticket False\n",
"fare False\n",
"cabin False\n",
"embarked False\n",
"boat False\n",
"body False\n",
"home.dest False\n",
"dtype: bool"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"titanic.isna().any()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"However, we can clearly see the ``\"?\"`` in the listing above. Also, if you Look at the numeric columns, you'll notice that some are encoded as object, which is a good give-away:"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"pclass int64\n",
"survived int64\n",
"name object\n",
"sex object\n",
"age object\n",
"sibsp int64\n",
"parch int64\n",
"ticket object\n",
"fare object\n",
"cabin object\n",
"embarked object\n",
"boat object\n",
"body object\n",
"home.dest object\n",
"dtype: object"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"titanic.dtypes"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"For example we might expect `'age'` to be an integer or floating point number, but it is an object. We can confirm the presence of a missing value encoded as `'?'` by calling ``value_counts`` (though we might have already figured that out by looking at the other columns with question marks in them):"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"? 263\n",
"24 47\n",
"22 43\n",
"21 41\n",
"30 40\n",
" ... \n",
"0.1667 1\n",
"26.5 1\n",
"60.5 1\n",
"38.5 1\n",
"22.5 1\n",
"Name: age, Length: 99, dtype: int64"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"titanic.age.value_counts()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"In this relatively simple case, we can just fix this by passing ``na_values`` when calling ``read_csv``:"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"
\n",
"\n",
"
\n",
" \n",
"
\n",
"
\n",
"
pclass
\n",
"
survived
\n",
"
name
\n",
"
sex
\n",
"
age
\n",
"
sibsp
\n",
"
parch
\n",
"
ticket
\n",
"
fare
\n",
"
cabin
\n",
"
embarked
\n",
"
boat
\n",
"
body
\n",
"
home.dest
\n",
"
\n",
" \n",
" \n",
"
\n",
"
0
\n",
"
1
\n",
"
1
\n",
"
Allen, Miss. Elisabeth Walton
\n",
"
female
\n",
"
29.0000
\n",
"
0
\n",
"
0
\n",
"
24160
\n",
"
211.3375
\n",
"
B5
\n",
"
S
\n",
"
2
\n",
"
NaN
\n",
"
St Louis, MO
\n",
"
\n",
"
\n",
"
1
\n",
"
1
\n",
"
1
\n",
"
Allison, Master. Hudson Trevor
\n",
"
male
\n",
"
0.9167
\n",
"
1
\n",
"
2
\n",
"
113781
\n",
"
151.5500
\n",
"
C22 C26
\n",
"
S
\n",
"
11
\n",
"
NaN
\n",
"
Montreal, PQ / Chesterville, ON
\n",
"
\n",
"
\n",
"
2
\n",
"
1
\n",
"
0
\n",
"
Allison, Miss. Helen Loraine
\n",
"
female
\n",
"
2.0000
\n",
"
1
\n",
"
2
\n",
"
113781
\n",
"
151.5500
\n",
"
C22 C26
\n",
"
S
\n",
"
NaN
\n",
"
NaN
\n",
"
Montreal, PQ / Chesterville, ON
\n",
"
\n",
"
\n",
"
3
\n",
"
1
\n",
"
0
\n",
"
Allison, Mr. Hudson Joshua Creighton
\n",
"
male
\n",
"
30.0000
\n",
"
1
\n",
"
2
\n",
"
113781
\n",
"
151.5500
\n",
"
C22 C26
\n",
"
S
\n",
"
NaN
\n",
"
135.0
\n",
"
Montreal, PQ / Chesterville, ON
\n",
"
\n",
"
\n",
"
4
\n",
"
1
\n",
"
0
\n",
"
Allison, Mrs. Hudson J C (Bessie Waldo Daniels)
\n",
"
female
\n",
"
25.0000
\n",
"
1
\n",
"
2
\n",
"
113781
\n",
"
151.5500
\n",
"
C22 C26
\n",
"
S
\n",
"
NaN
\n",
"
NaN
\n",
"
Montreal, PQ / Chesterville, ON
\n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" pclass survived name sex \\\n",
"0 1 1 Allen, Miss. Elisabeth Walton female \n",
"1 1 1 Allison, Master. Hudson Trevor male \n",
"2 1 0 Allison, Miss. Helen Loraine female \n",
"3 1 0 Allison, Mr. Hudson Joshua Creighton male \n",
"4 1 0 Allison, Mrs. Hudson J C (Bessie Waldo Daniels) female \n",
"\n",
" age sibsp parch ticket fare cabin embarked boat body \\\n",
"0 29.0000 0 0 24160 211.3375 B5 S 2 NaN \n",
"1 0.9167 1 2 113781 151.5500 C22 C26 S 11 NaN \n",
"2 2.0000 1 2 113781 151.5500 C22 C26 S NaN NaN \n",
"3 30.0000 1 2 113781 151.5500 C22 C26 S NaN 135.0 \n",
"4 25.0000 1 2 113781 151.5500 C22 C26 S NaN NaN \n",
"\n",
" home.dest \n",
"0 St Louis, MO \n",
"1 Montreal, PQ / Chesterville, ON \n",
"2 Montreal, PQ / Chesterville, ON \n",
"3 Montreal, PQ / Chesterville, ON \n",
"4 Montreal, PQ / Chesterville, ON "
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"titanic = pd.read_csv(\"../data/titanic.csv\", na_values=\"?\")\n",
"titanic.head()"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"pclass False\n",
"survived False\n",
"name False\n",
"sex False\n",
"age True\n",
"sibsp False\n",
"parch False\n",
"ticket False\n",
"fare True\n",
"cabin True\n",
"embarked True\n",
"boat True\n",
"body True\n",
"home.dest True\n",
"dtype: bool"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"titanic.isna().any()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"One of the more \"interesting\" cases that I have seen is as part of a census dataset made available by the City of New York (todo https://docs.google.com/document/d/1EHyWR-GZfwK5a9JJc_nFy3yvVofA11cMjvH7vXE6JH0/edit and https://ndownloader.figshare.com/files/7586326)"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
"data = pd.read_csv(\"https://ndownloader.figshare.com/files/7586326\")"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"
\n",
"\n",
"
\n",
" \n",
"
\n",
"
\n",
"
recid
\n",
"
boro
\n",
"
uf1_1
\n",
"
uf1_2
\n",
"
uf1_3
\n",
"
uf1_4
\n",
"
uf1_5
\n",
"
uf1_6
\n",
"
uf1_7
\n",
"
uf1_8
\n",
"
...
\n",
"
hflag4
\n",
"
hflag18
\n",
"
uf52h_h
\n",
"
uf52h_a
\n",
"
uf52h_b
\n",
"
uf52h_c
\n",
"
uf52h_d
\n",
"
uf52h_e
\n",
"
uf52h_f
\n",
"
uf52h_g
\n",
"
\n",
" \n",
" \n",
"
\n",
"
0
\n",
"
1
\n",
"
1
\n",
"
9
\n",
"
9
\n",
"
9
\n",
"
9
\n",
"
1
\n",
"
9
\n",
"
9
\n",
"
9
\n",
"
...
\n",
"
0
\n",
"
0
\n",
"
0
\n",
"
0
\n",
"
0
\n",
"
0
\n",
"
0
\n",
"
0
\n",
"
0
\n",
"
0
\n",
"
\n",
"
\n",
"
1
\n",
"
1
\n",
"
1
\n",
"
9
\n",
"
9
\n",
"
9
\n",
"
9
\n",
"
1
\n",
"
9
\n",
"
9
\n",
"
9
\n",
"
...
\n",
"
0
\n",
"
0
\n",
"
1
\n",
"
1
\n",
"
1
\n",
"
0
\n",
"
0
\n",
"
0
\n",
"
0
\n",
"
0
\n",
"
\n",
"
\n",
"
2
\n",
"
1
\n",
"
1
\n",
"
9
\n",
"
9
\n",
"
9
\n",
"
9
\n",
"
1
\n",
"
9
\n",
"
9
\n",
"
9
\n",
"
...
\n",
"
0
\n",
"
0
\n",
"
1
\n",
"
1
\n",
"
1
\n",
"
0
\n",
"
1
\n",
"
0
\n",
"
1
\n",
"
0
\n",
"
\n",
"
\n",
"
3
\n",
"
1
\n",
"
1
\n",
"
9
\n",
"
9
\n",
"
9
\n",
"
9
\n",
"
1
\n",
"
9
\n",
"
9
\n",
"
9
\n",
"
...
\n",
"
0
\n",
"
0
\n",
"
0
\n",
"
0
\n",
"
0
\n",
"
0
\n",
"
0
\n",
"
0
\n",
"
0
\n",
"
0
\n",
"
\n",
"
\n",
"
4
\n",
"
1
\n",
"
1
\n",
"
9
\n",
"
9
\n",
"
9
\n",
"
9
\n",
"
1
\n",
"
9
\n",
"
9
\n",
"
9
\n",
"
...
\n",
"
0
\n",
"
0
\n",
"
1
\n",
"
0
\n",
"
0
\n",
"
0
\n",
"
1
\n",
"
0
\n",
"
0
\n",
"
0
\n",
"
\n",
" \n",
"
\n",
"
5 rows × 197 columns
\n",
"
"
],
"text/plain": [
" recid boro uf1_1 uf1_2 uf1_3 uf1_4 uf1_5 uf1_6 uf1_7 uf1_8 ... \\\n",
"0 1 1 9 9 9 9 1 9 9 9 ... \n",
"1 1 1 9 9 9 9 1 9 9 9 ... \n",
"2 1 1 9 9 9 9 1 9 9 9 ... \n",
"3 1 1 9 9 9 9 1 9 9 9 ... \n",
"4 1 1 9 9 9 9 1 9 9 9 ... \n",
"\n",
" hflag4 hflag18 uf52h_h uf52h_a uf52h_b uf52h_c uf52h_d uf52h_e \\\n",
"0 0 0 0 0 0 0 0 0 \n",
"1 0 0 1 1 1 0 0 0 \n",
"2 0 0 1 1 1 0 1 0 \n",
"3 0 0 0 0 0 0 0 0 \n",
"4 0 0 1 0 0 0 1 0 \n",
"\n",
" uf52h_f uf52h_g \n",
"0 0 0 \n",
"1 0 0 \n",
"2 1 0 \n",
"3 0 0 \n",
"4 0 0 \n",
"\n",
"[5 rows x 197 columns]"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"In this dataset, a missing value is indicated by the digit ``9``. However, the number of digits is dependent on the maximum value in that column. For example the column ``sc134`` is a year (like 2001), and so missingness is encoded as 9999, while in column 'uf5', missingness is indicated by ``9999999``. Such cases are much more tricky to find and process correctly."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Missing categorical vs missing continuous data\n",
"For categorical features, in many cases, whether data is missing randomly or not, we can treat missing data as just another category, which we can call 'missing' or 'unknown' or something like that (assuming these values don't already appear).\n",
"If we correctly encoded the missing values with pandas, we can replace them all with ``fillna``:"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# we can replace the missing values inplace, i.e. change the existing column\n",
"# we could also create a new column and then drop or disregard the old one\n",
"loans.emp_title.fillna('missing', inplace=True)\n",
"loans.emp_title.isna().any()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Dealing with missing values in continuous data is more tricky, and will be the topic of the reset of this section.\n",
"There are three basic options:\n",
"- Removing missing data\n",
"- Filling in missing data with a placeholder or a semantically meaningful value\n",
"- Filling in the missing data with best-guess values (imputation)\n",
"\n",
"```{margin}\n",
"There is no clear rule when to drop a column because it has too many missing values. Anything with more than 50% missing might be a candidate, but then again, if the remaining values are very informative, you should keep them.\n",
"As with many choices in machine learning, the best way is to try and evaluate the different possibilities.\n",
"```\n",
"\n",
"```{sidebar} renderme\n",
"\n",
"```\n",
"\n",
"The simplest method if obviously just dropping the data; you can either drop rows containing missing values or columns containing missing values.\n",
"When dropping columns, the main issue is that you might lose an informative feature. If a column is only missing sometimes, or even missing 50% of the time, you might discard critical information.\n",
"\n",
"When dropping rows, you might not only lose valuable training data, you might also run into another issue. If missing values appear in a model you deployed, usually you don't have the choice of dropping the sample, you are forced to make a prediction. If you don't have a way to deal with missing values, this might be a problem.\n",
"\n",
"Sometimes, if the data is missing for structural reasons, it might be possible to fill in a semantically meaningful value. For example, the 'ames housing' dataset for house price prediction has missing values for the square footage of the basement if the house has no basement. A reasonable value here might be 0, as there is no basement. Still, there might be value in knowing that there is no basement, and this might be good to represent explicitly.\n",
"A common practice is to add a new feature that indicates whether a value was missing or not before filling it in.\n",
"\n",
"If there is no reasonable value to fill in, the last choice is to fill in the value with a best-guess estimate of what the value might have been if we observed it. This is known as imputation, and, as mentioned above, usually only applied to continuous features, while for categorical features a new category is created."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Imputation methods"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"```{sidebar} renderme\n",
"\n",
"```\n",
"\n",
"Imputation means filling in missing values, and there is a wide variety of methods. Usually, these are unsupervised, so they only make use of the information of features on the training data.\n",
"The simplest strategy is to fill in a feature with the mean or median of that features over the non-missing samples.\n",
"That is implemented in the ``SimpleImputer`` in scikit-learn.\n",
"To illustrate, we will look at the iris dataset, where we artificially introduced some missing values. The iris dataset is a relatively simple three-class classification dataset with four features (todo really iris? not breast cancer?):"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"
"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"import seaborn as sns\n",
"df = X.copy()\n",
"df['target'] = y\n",
"sns.pairplot(df, hue='target')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"To get a baseline, let's apply ``KNeighborsClassifier`` to the full original data (after scaling, of course):"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0.9736842105263158"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from sklearn.neighbors import KNeighborsClassifier\n",
"from sklearn.pipeline import make_pipeline\n",
"from sklearn.preprocessing import StandardScaler\n",
"from sklearn.model_selection import train_test_split\n",
"X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=13)\n",
"\n",
"# make a pipeline containing standard scaling and knn classification\n",
"pipe = make_pipeline(StandardScaler(), KNeighborsClassifier())\n",
"# fit the pipeline on the training set\n",
"pipe.fit(X_train, y_train)\n",
"# compute accuracy on the test set\n",
"pipe.score(X_test, y_test)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The dataset is quite small, and depending on how you split the data (i.e. how you pick the random_state), the results can vary quite a bit. But usually they are in the high nineties."
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"rng = np.random.RandomState(42)\n",
"# we introduce some missing values\n",
"# we make the likelihood that a value is missing dependent on the feature values, i.e. they are not missing at random\n",
"X_missing = X.copy()\n",
"# create missingness mask of same size as X\n",
"# 8 seems good\n",
"mask = rng.binomial(n=np.array([1, 1, 1, 1]).reshape(1, -1),\n",
" p=(X['petal length (cm)'] / 8).values.reshape(-1, 1)).astype(np.bool)\n",
"X_missing[mask] = np.NaN"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"
\n",
"\n",
"
\n",
" \n",
"
\n",
"
\n",
"
sepal length (cm)
\n",
"
sepal width (cm)
\n",
"
petal length (cm)
\n",
"
petal width (cm)
\n",
"
\n",
" \n",
" \n",
"
\n",
"
0
\n",
"
5.1
\n",
"
NaN
\n",
"
1.4
\n",
"
0.2
\n",
"
\n",
"
\n",
"
1
\n",
"
4.9
\n",
"
3.0
\n",
"
1.4
\n",
"
NaN
\n",
"
\n",
"
\n",
"
2
\n",
"
4.7
\n",
"
3.2
\n",
"
1.3
\n",
"
NaN
\n",
"
\n",
"
\n",
"
3
\n",
"
NaN
\n",
"
3.1
\n",
"
1.5
\n",
"
0.2
\n",
"
\n",
"
\n",
"
4
\n",
"
5.0
\n",
"
3.6
\n",
"
1.4
\n",
"
0.2
\n",
"
\n",
"
\n",
"
...
\n",
"
...
\n",
"
...
\n",
"
...
\n",
"
...
\n",
"
\n",
"
\n",
"
145
\n",
"
NaN
\n",
"
3.0
\n",
"
NaN
\n",
"
NaN
\n",
"
\n",
"
\n",
"
146
\n",
"
6.3
\n",
"
NaN
\n",
"
NaN
\n",
"
NaN
\n",
"
\n",
"
\n",
"
147
\n",
"
NaN
\n",
"
NaN
\n",
"
NaN
\n",
"
NaN
\n",
"
\n",
"
\n",
"
148
\n",
"
NaN
\n",
"
NaN
\n",
"
5.4
\n",
"
NaN
\n",
"
\n",
"
\n",
"
149
\n",
"
5.9
\n",
"
NaN
\n",
"
NaN
\n",
"
NaN
\n",
"
\n",
" \n",
"
\n",
"
150 rows × 4 columns
\n",
"
"
],
"text/plain": [
" sepal length (cm) sepal width (cm) petal length (cm) petal width (cm)\n",
"0 5.1 NaN 1.4 0.2\n",
"1 4.9 3.0 1.4 NaN\n",
"2 4.7 3.2 1.3 NaN\n",
"3 NaN 3.1 1.5 0.2\n",
"4 5.0 3.6 1.4 0.2\n",
".. ... ... ... ...\n",
"145 NaN 3.0 NaN NaN\n",
"146 6.3 NaN NaN NaN\n",
"147 NaN NaN NaN NaN\n",
"148 NaN NaN 5.4 NaN\n",
"149 5.9 NaN NaN NaN\n",
"\n",
"[150 rows x 4 columns]"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"X_missing"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"import seaborn as sns\n",
"df_missing = X_missing.copy()\n",
"df_missing['target'] = y\n",
"sns.pairplot(df_missing, hue='target')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"You can see that now different panels in the pairplot show different amounts of data, as some of the features are sometimes missing. We mostly removed samples from the green and orange classes.\n",
"In this synthetic example, the missingness is highly informative, maybe more so than common in practice, and the dataset is terribly easy. Keep that in mind when going over this example."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We could drop all samples with missing values, though this is likely to give us bad results. Also, the evaluation would be harder as the data wouldn't be balanced any more, and the blue class would dominate."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## SimpleImputer\n",
"\n",
"So let's start by imputing the data using median imputation:"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [],
"source": [
"from sklearn.impute import SimpleImputer\n",
"from sklearn.model_selection import train_test_split\n",
"# split data into training and test set.\n",
"# we only ever want to fit on the training part!\n",
"X_train, X_test, y_train, y_test = train_test_split(X_missing, y, random_state=13)\n",
"# instantiate simple imputer with median imputation\n",
"si = SimpleImputer(strategy='median')\n",
"# impute training data\n",
"X_train_median = si.fit_transform(X_train)"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 25,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"import seaborn as sns\n",
"df_missing_train = X_missing.copy()\n",
"df_missing_train['target'] = y_train\n",
"sns.pairplot(df_missing_train, hue='target')"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"C:\\Users\\t3kci\\anaconda3\\lib\\site-packages\\seaborn\\distributions.py:369: UserWarning: Default bandwidth for data is 0; skipping density estimation.\n",
" warnings.warn(msg, UserWarning)\n"
]
},
{
"data": {
"text/plain": [
""
]
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# create a new dataframe for plotting with seaborn\n",
"# If we don't add the index, the alignment with y_train will be off\n",
"# we could also strip the index of y_train instead, but they need to match.\n",
"df_median = pd.DataFrame(X_train_median, columns=X_train.columns, index=X_train.index)\n",
"df_median['target'] = y_train\n",
"sns.pairplot(df_median, hue='target')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"You can see that much of the data has been moved towards the center, and the distributions are much harder to distinguish.\n",
"That's to be expected as there are now many identical values. In the case of higher dimensional data or fewer missing values, this stragegy actually performs reasonably well, but here it doesn't seem very good.\n",
"```{margin}\n",
"Most of the methods in scikit-learn can not deal with missing values. However, most of the preprocessing methods such as scaling can!\n",
"Therefore we can scale the data before imputation.\n",
"```\n",
"\n",
"Let's see how good or bad this will do with the ``KNeighborsClassifier``. We can put the imputation directly in the pipeline to save us some work:"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0.8421052631578947"
]
},
"execution_count": 27,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from sklearn.pipeline import make_pipeline\n",
"from sklearn.preprocessing import StandardScaler\n",
"from sklearn.neighbors import KNeighborsClassifier\n",
"\n",
"pipe_median = make_pipeline(StandardScaler(),\n",
" SimpleImputer(strategy='median'),\n",
" KNeighborsClassifier())\n",
"pipe_median.fit(X_train, y_train)\n",
"pipe_median.score(X_test, y_test)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The result is quite a bit worse than on the full dataset (as can be expected), but still much better than chance (which would be 33%).\n",
"Instead of just filling in the median, we can also add an indicator "
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Pipeline(steps=[('standardscaler', StandardScaler()),\n",
" ('simpleimputer',\n",
" SimpleImputer(add_indicator=True, strategy='median')),\n",
" ('kneighborsclassifier', KNeighborsClassifier())])"
]
},
"execution_count": 28,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pipe_median_ind = make_pipeline(StandardScaler(),\n",
" SimpleImputer(strategy='median', add_indicator=True),\n",
" KNeighborsClassifier())\n",
"pipe_median_ind.fit(X_train, y_train)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Before we evaluate the model, it's a good idea to have a look at the data as it enters the model. We can do this by slicing the pipeline and taking all but the last step:"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([[ 0.716, -2.373, -0.695, 0.157, 0. , 0. , 1. , 1. ],\n",
" [ 0.593, -0.119, -0.695, 0.157, 0. , 1. , 1. , 1. ],\n",
" [-0.147, 0.132, -0.695, 0.157, 1. , 0. , 1. , 1. ],\n",
" [-0.764, -0.119, 0.321, 0.157, 0. , 1. , 0. , 0. ],\n",
" [ 0.099, -0.119, -0.665, -0.83 , 0. , 1. , 0. , 0. ],\n",
" [-0.147, -0.119, 1.923, 1.991, 1. , 1. , 0. , 0. ],\n",
" [-0.147, 0.132, -0.695, -0.971, 1. , 0. , 1. , 0. ],\n",
" [-0.147, 0.382, -0.695, 2.274, 1. , 0. , 1. , 0. ],\n",
" [ 0.839, -0.119, -0.695, 0.157, 0. , 1. , 1. , 1. ],\n",
" [ 1.086, -0.119, -0.695, 1.286, 0. , 1. , 1. , 0. ],\n",
" [-0.147, -0.119, -0.695, 0.157, 1. , 1. , 1. , 0. ],\n",
" [-0.147, 0.632, -0.665, -0.971, 1. , 0. , 0. , 0. ],\n",
" [-0.147, -0.119, -0.695, 0.157, 1. , 1. , 1. , 0. ],\n",
" [-0.147, -0.119, -0.695, 0.157, 1. , 1. , 1. , 1. ],\n",
" [-0.147, -0.87 , -0.695, 0.157, 1. , 0. , 1. , 1. ],\n",
" [-0.147, -0.119, -0.695, 0.157, 1. , 1. , 1. , 1. ],\n",
" [ 0.223, -1.371, 0.753, 0.439, 0. , 0. , 0. , 0. ],\n",
" [-0.147, -0.119, -1.034, 0.157, 1. , 1. , 0. , 1. ],\n",
" [-0.517, -1.121, -0.695, 0.722, 0. , 0. , 1. , 0. ],\n",
" [ 1.333, -0.119, -0.695, 0.157, 0. , 1. , 1. , 1. ],\n",
" [-0.147, -0.119, -0.695, 0.157, 0. , 1. , 1. , 1. ],\n",
" [-0.64 , -0.119, -0.849, -0.971, 0. , 1. , 0. , 0. ],\n",
" [-0.024, -0.119, 0.876, 0.157, 0. , 1. , 0. , 1. ],\n",
" [-0.147, -0.369, -0.695, 0.863, 1. , 0. , 1. , 0. ],\n",
" [-0.27 , 1.384, -0.788, 0.157, 0. , 0. , 0. , 1. ],\n",
" [-0.147, -0.119, 1.184, 0.157, 1. , 0. , 0. , 1. ],\n",
" [-1.257, 0.632, -0.849, -0.83 , 0. , 0. , 0. , 0. ],\n",
" [-0.147, -0.87 , 0.753, 0.157, 1. , 0. , 0. , 1. ],\n",
" [-0.147, -0.119, -0.695, 0.157, 1. , 1. , 1. , 1. ],\n",
" [-0.024, -0.119, -0.695, 0.581, 0. , 1. , 1. , 0. ],\n",
" [-0.147, -0.119, -0.695, 0.157, 1. , 1. , 1. , 1. ],\n",
" [-0.147, 1.133, -1.096, -0.971, 1. , 0. , 0. , 0. ],\n",
" [-0.764, 0.883, -0.911, -0.83 , 0. , 0. , 0. , 0. ],\n",
" [-0.887, -0.369, -0.849, 0.157, 0. , 0. , 0. , 1. ],\n",
" [-1.134, 0.132, -0.911, 0.157, 0. , 0. , 0. , 1. ],\n",
" [ 0.593, -0.119, -0.695, 0.157, 0. , 1. , 1. , 1. ],\n",
" [-0.64 , -0.119, 0.136, 0.157, 0. , 1. , 0. , 1. ],\n",
" [ 0.223, -1.121, 0.691, 0.157, 0. , 0. , 0. , 1. ]])"
]
},
"execution_count": 29,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"np.set_printoptions(precision=3)\n",
"pipe_median_ind[:-1].transform(X_train)[::3]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"You can see that now instead of four features, we have eight features: each of the features is sometimes missing, and so for each of the features an indicator of missiness was added.\n",
"Now let's see if this helped:"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0.8421052631578947"
]
},
"execution_count": 30,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pipe_median_ind.score(X_test, y_test)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"TODO actually got better?\n",
"Maybe somewhat surprisingly, the result got quite a bit worse. That might be because we added several redundant features, but it's hard to say what caused it.\n",
"\n",
"## Neighbors based imputation\n",
"In practice, using SimpleImputer might often be enough, at least as a first try. But there are several more advanced methods that might also be relevant.\n",
"One of the most classical ones is based on nearest neighbors and implemented in the ``KNNImputer``. The ``KNNImputer`` imputes each missing value using a combination of it's k nearest neighbors.\n",
"TODO Figure\n",
"This seems relatively straight-forward, apart from one issue: how do you compute distances in the presence of missing values? Let's look at a toy example:"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([[ 1., 1., 1.],\n",
" [nan, 0., nan],\n",
" [ 1., nan, nan],\n",
" [ 0., 2., 1.]])"
]
},
"execution_count": 31,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"np.array([[1, 1, 1],\n",
" [np.NaN, 0, np.NaN],\n",
" [1, np.NaN, np.NaN],\n",
" [0, 2, 1]\n",
" ])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Here, we have 4 rows, with different features missing for each. We can clearly not use normal euclidean distances here.\n",
"If we want to compute the distance between the first row ``X[0]`` and the second row ``X[1]``, we can only use the second feature, while if we want to compute the distance between the first and the third row, we can only use the first.\n",
"A first idea could be to just use the distance on the features that two rows have in common, so the squared distance between ``X[0]`` and ``X[1]`` would be 1, the distance between ``X[0]`` and ``X[2]`` woudl be 0, and the distance between ``X[0]`` and ``X[3]`` would be 2.\n",
"However, that might be considered strange, as ``X[0]`` and ``X[3]`` are quite similar. Because neigher has missing values, there are more feature over which the distance is added up, though, leading to a larger overall distance.\n",
"To make up for this, the distances are multiplied by the number of features divided by the number of features two samples have in common. So the distance between ``X[0]`` and ``X[1]`` would be multiplied by ``3`` as there's 3 features in total and they only have one in common, while the distance between ``X[0]`` and ``X[3]`` would be multiplied by 1, as they have all features in common. Using this adjustment, ``X[3]`` is actually the row most simliar to ``X[0]``.\n",
"\n",
"This adjusted distance is the measure used to compute neighbors in KNNImputer. Let's see the result of that on our modified iris dataset:"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {},
"outputs": [],
"source": [
"from sklearn.impute import KNNImputer\n",
"# the default of 3 and 5 neighbors give similar results\n",
"# given the small size of the dataset we pick 3\n",
"knni = KNNImputer(n_neighbors=3) \n",
"X_train_knn = knni.fit_transform(X_train)"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 33,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"df_knn = pd.DataFrame(X_train_knn, columns=X_train.columns, index=X_train.index)\n",
"df_knn['target'] = y\n",
"sns.pairplot(df_knn, hue='target')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We can see that compared to figure TODO, imputation with KNNImputer preserves the data distribution much more closely than imputing just with the median.\n",
"Now let's see how it changes classification results:"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0.868421052631579"
]
},
"execution_count": 34,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pipe_knn = make_pipeline(StandardScaler(),\n",
" KNNImputer(n_neighbors=3),\n",
" KNeighborsClassifier())\n",
"pipe_knn.fit(X_train, y_train)\n",
"pipe_knn.score(X_test, y_test)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The results ar somewhat better, and we might trust this model a bit more as it preserves more of the original data distribution. However, there is an additional hyper-parameter, the number of neighbors to use for imputation (in addition to selecting the number of neighbors for classification).\n",
"We selected ``n_neighbors=3`` for imputation, though the default of 5 also works well. As mentioned before, we'll discuss selection of hyper-parameters in more detail in section TODO.\n",
"One of the main disadvantages of the KNNImputer, apart from the additional hyper-parameter, is the runtime complexity. To impute a new sample, we need to compute the distance to all samples in the training set. That can be quite expensive or even infeasible for large datasets, similar to the use of KNeighborsClassifier."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Iterative Imputation\n",
"The final method of imputation that we'll discuss is iterative imputation based on a regression model.\n",
"We haven't really talked about regression models much, but for this part it's fine to treat them as a black box.\n",
"The idea of iterative imputation is to iterate over columns, and create a new modeling task: predict this column given all the other columns.\n",
"As we're only interested in imputing continuous variables, this is a standard regression task. So we can use any regression model to solve the task.\n",
"Then, we can use the predictions of the regressor to fill in the missing values, as illustrated in figure TODO.\n",
"\n",
"To start the process, we ususally use a simple imputation model such as iterative imputer to ensure we have some candidate value for all features available.\n",
"For training the regression model, we only use the rows where the current target column is observed, so not missing, and we only fill in those rows that are missing.\n",
"This procedure is iterative, because once we filled in the first column, we will use the values we filled in the first column to train the model for the second column, and so on.\n",
"As a matter of fact, usually multiple passes over the dataset are used: once we filled in all the columns, their values changed, and so if we train a model for the first column\n",
"again, the predictions will be different, as the features for training the model have been changed by our other imputations.\n",
"\n",
"This scheme is implemented in scikit-learn in ``IterativeImputer``. This model is still experimental, as some of its features might change.\n",
"To use any experimental feature, we have to make an import to enable it, before we can import the ``IterativeImputer`` itself. TODO maybe into margin or note?"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {},
"outputs": [],
"source": [
"from sklearn.experimental import enable_iterative_imputer\n",
"from sklearn.impute import IterativeImputer"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"A very common regression model for imputation is the Random Forest. We will talk about this model more in chapter TODO. For now, think of it just as a very flexible and powerful regression model.\n",
"The ``IterativeImputer`` is a meta-estimator, as it constructs an imputation method for any given regression model.\n",
"An important feature is the number of iterations, meaning the number of passes over the columns; after some experimentation, increasing it to 20 seems beneficial here."
]
},
{
"cell_type": "code",
"execution_count": 55,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"C:\\Users\\t3kci\\anaconda3\\lib\\site-packages\\sklearn\\impute\\_iterative.py:670: ConvergenceWarning: [IterativeImputer] Early stopping criterion not reached.\n",
" \" reached.\", ConvergenceWarning)\n"
]
}
],
"source": [
"from sklearn.ensemble import RandomForestRegressor\n",
"rf_imp = IterativeImputer(estimator=RandomForestRegressor(random_state=0), max_iter=20)\n",
"X_train_rf = rf_imp.fit_transform(X_train)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We can see a convergence warning here: This is the main reason why ``IterativeImputer`` is still experimental in scikit-learn, it's hard to establish convergence criteria that work for a variety of regression model. The current criterion works well for linear models, but not for Random Forest, and you will always get a ConvergenceWarning for Random Forests for now, which you can ignore. You can see the details in the orginal paper on random forest based imputation TODO missforest.\n",
"\n",
"Let's have another look at the pairplot over the data, this time imputed with ``IterativeImputer``."
]
},
{
"cell_type": "code",
"execution_count": 56,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 56,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"df_rf = pd.DataFrame(X_train_rf, columns=X_train.columns, index=X_train.index)\n",
"df_rf['target'] = y\n",
"sns.pairplot(df_rf, hue='target')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This imputation seems to preserve the data even better than the ``KNNImputer``, though there are still some points that seem to be moved to the wrong region of the input space.\n",
"Let's look at the original data and the different imputed versions next to each other for the petal length and petal width features, which are the most informative ones:"
]
},
{
"cell_type": "code",
"execution_count": 57,
"metadata": {
"tags": [
"remove-input"
]
},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5, 1.0, 'Iterative Imputation')"
]
},
"execution_count": 57,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"import matplotlib.pyplot as plt\n",
"fig, axes = plt.subplots(1, 5, figsize=(12, 3), constrained_layout=True)\n",
"for frame, ax in zip([df, df_missing_train, df_median, df_knn, df_rf], axes):\n",
" # plot petal lenght vs petal width colored by target\n",
" sns.scatterplot('petal length (cm)', 'petal width (cm)', data=frame, hue='target',\n",
" # plot within the pre-specified grid\n",
" ax=ax, palette='tab10',\n",
" # only add a legend to the first plot\n",
" legend='brief' if ax is axes[0] else False)\n",
"axes[0].set_title(\"Original Data\")\n",
"axes[1].set_title(\"Mising Data\")\n",
"axes[2].set_title(\"Median imputation\")\n",
"axes[3].set_title(\"KNN Imputation\")\n",
"axes[4].set_title(\"Iterative Imputation\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"It seams each more advanced imputation method improves over the previous one, though the data in the last plot seems too tightly clustered. However given how much of the data we set to missing, that's likely unavoidable.\n",
"Finally, let's look at the scores of the iterative imputation:"
]
},
{
"cell_type": "code",
"execution_count": 58,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"C:\\Users\\t3kci\\anaconda3\\lib\\site-packages\\sklearn\\impute\\_iterative.py:670: ConvergenceWarning: [IterativeImputer] Early stopping criterion not reached.\n",
" \" reached.\", ConvergenceWarning)\n"
]
},
{
"data": {
"text/plain": [
"0.8947368421052632"
]
},
"execution_count": 58,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pipe_rf = make_pipeline(rf_imp, StandardScaler(), KNeighborsClassifier())\n",
"pipe_rf.fit(X_train, y_train)\n",
"pipe_rf.score(X_test, y_test)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"In this case, the IterativeImputer with the RandomForestRegressor provides the best results.\n",
"\n",
"The ``IterativeImputer`` also allows adding an indicator feature for whether a row was imputed. Again, it doesn't seem to be beneficial on this dataset:"
]
},
{
"cell_type": "code",
"execution_count": 60,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"C:\\Users\\t3kci\\anaconda3\\lib\\site-packages\\sklearn\\impute\\_iterative.py:670: ConvergenceWarning: [IterativeImputer] Early stopping criterion not reached.\n",
" \" reached.\", ConvergenceWarning)\n"
]
},
{
"data": {
"text/plain": [
"0.8421052631578947"
]
},
"execution_count": 60,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"rf_imp_ind = IterativeImputer(estimator=RandomForestRegressor(random_state=0),\n",
" max_iter=20, add_indicator=True)\n",
"pipe_rf_ind = make_pipeline(rf_imp_ind, StandardScaler(), KNeighborsClassifier())\n",
"pipe_rf_ind.fit(X_train, y_train)\n",
"pipe_rf_ind.score(X_test, y_test)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"All of the above results are meant as illustrative examples, and they are not very stable with respect to the original splitting of the data (feel free to change the random state from 13 to another value and see how it plays out), and to the random state in the RandomForestRegressor. However, this synthetic example provides a case study for when more involved imputation methods might be beneficial. The computational cost of using ``IterativeImputer`` depends a lot on the regression algorithm used, and for this modified version of iris, the IterativeImputer actually takes the longest of all the methods we looked at. If the dataset was much bigger, though, ``KNNImputer`` is likely to take a longer time to perform the imputation (though the training time for ``KNNImputer`` is of course smaller, since it only memorizes the data)."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Multiple imputation\n",
"\n",
"There is a final approach which we'll only discuss briefly: *multiple imputation*. Filling in any missing value means making (more or less educated) guesses about what observed values are likely. In particular in a more inference motivated setting, this can lead to underestimating the uncertainty in the data. To compensate for that, it's possible to compute multiple new versions of the dataset, each with a slightly different imputation of the missing values. We can then build a model on each of these versions of the data, and aggregate the results. This can increase robustness of your model and of any inference. In cases that are more focused on prediction, as we are in this book, this seems to be rarely useful, though, and we'll not investigate it further."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Summary\n",
"In this section we've seen how to deal with missing values in our data, both during training and prediction time. For categorical features, often adding 'missing' as another category is sufficient, while for continuous features, we usually need to rely on imputation, i.e. filling in the values. When doing imputation, it might still be useful to record whether a feature was imputed or not, using a binary indicator, since the fact that a feature was not observed might be informative.\n",
"For imputing values, often a simple approach such as using the mean or median is enough, and should be your baseline. If you want to use a more complex approach, the main contenders are ``KNNImputer``, which works reasonably well without much tuning on smaller datasets, and ``IterativeImputer``, which is quite flexible, but requires specifying a base model (often ``RandomForestRegressor``) as well as potentially the number of iterations.\n",
"\n",
"As usual, there is no ultimate right answer, and apart from visualizations, as we did above, evaluating the final supervised learning method is the best way to access which method is best suited for your problem.\n",
"If your supervised learning model is flexible enough, and you have enough data, often a simple imputation scheme is enough, as the supervised model can often infer all the necessary information from the data."
]
}
],
"metadata": {
"anaconda-cloud": {},
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.6"
}
},
"nbformat": 4,
"nbformat_minor": 4
}