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Gabby hills patch 4 #419

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a3bd83b
Update Diabetes Ridge Regression Training.ipynb
GabbyHills Aug 4, 2023
9947719
Merge pull request #1 from GabbyHills/GabbyHills-patch-1-1
GabbyHills Aug 4, 2023
c3b6e0a
Update Diabetes Ridge Regression Training.ipynb
GabbyHills Aug 5, 2023
f2ff0b6
Update Diabetes Ridge Regression Training.ipynb
GabbyHills Aug 5, 2023
465393c
Update Diabetes Ridge Regression Training.ipynb
GabbyHills Aug 5, 2023
304587e
Update Diabetes Ridge Regression Training.ipynb
GabbyHills Aug 5, 2023
7e07ff5
Update Diabetes Ridge Regression Training.ipynb
GabbyHills Aug 5, 2023
380d272
Update Diabetes Ridge Regression Training.ipynb
GabbyHills Aug 5, 2023
e5b3d21
Merge pull request #2 from GabbyHills/GabbyHills-patch-1-1
GabbyHills Aug 5, 2023
f3aec3c
Update Diabetes Ridge Regression Training.ipynb
GabbyHills Aug 5, 2023
77c01c2
Update Diabetes Ridge Regression Training.ipynb
GabbyHills Aug 5, 2023
82209b8
Update Diabetes Ridge Regression Training.ipynb
GabbyHills Aug 5, 2023
f0f7d8d
Update Diabetes Ridge Regression Training.ipynb
GabbyHills Aug 5, 2023
f7c5a83
Update Diabetes Ridge Regression Training.ipynb
GabbyHills Aug 5, 2023
6affa5b
Update Diabetes Ridge Regression Training.ipynb
GabbyHills Aug 5, 2023
553b6ee
Update Diabetes Ridge Regression Training.ipynb
GabbyHills Aug 5, 2023
9bee5a7
Update Diabetes Ridge Regression Training.ipynb
GabbyHills Aug 5, 2023
a793e9b
Update Diabetes Ridge Regression Training.ipynb
GabbyHills Aug 5, 2023
7ddc60f
Update Diabetes Ridge Regression Training.ipynb
GabbyHills Aug 5, 2023
9945fae
Update Diabetes Ridge Regression Training.ipynb
GabbyHills Aug 5, 2023
79ae7f5
Update Diabetes Ridge Regression Training.ipynb
GabbyHills Aug 5, 2023
2b98bb3
Update Diabetes Ridge Regression Training.ipynb
GabbyHills Aug 5, 2023
7b2e7f0
Update Diabetes Ridge Regression Training.ipynb
GabbyHills Aug 5, 2023
b265273
Merge pull request #3 from GabbyHills/GabbyHills-patch-2
GabbyHills Aug 5, 2023
c8ce232
Update Diabetes Ridge Regression Training.ipynb
GabbyHills Aug 5, 2023
15c7bb6
Merge pull request #4 from GabbyHills/GabbyHills-patch-3
GabbyHills Aug 5, 2023
b253b15
Update Diabetes Ridge Regression Training.ipynb
GabbyHills Aug 5, 2023
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222 changes: 12 additions & 210 deletions experimentation/Diabetes Ridge Regression Training.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -50,233 +50,35 @@
]
},
{
"cell_type": "code",
"execution_count": 7,
"cell_type": "markdown",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(442, 10)\n"
]
}
],
"source": [
"print(df.shape)"
"## Split Data into Training and Validation Sets"
]
},
{
"cell_type": "code",
"execution_count": 11,
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>age</th>\n",
" <th>sex</th>\n",
" <th>bmi</th>\n",
" <th>bp</th>\n",
" <th>s1</th>\n",
" <th>s2</th>\n",
" <th>s3</th>\n",
" <th>s4</th>\n",
" <th>s5</th>\n",
" <th>s6</th>\n",
" <th>Y</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <td>count</td>\n",
" <td>4.420000e+02</td>\n",
" <td>4.420000e+02</td>\n",
" <td>4.420000e+02</td>\n",
" <td>4.420000e+02</td>\n",
" <td>4.420000e+02</td>\n",
" <td>4.420000e+02</td>\n",
" <td>4.420000e+02</td>\n",
" <td>4.420000e+02</td>\n",
" <td>4.420000e+02</td>\n",
" <td>4.420000e+02</td>\n",
" <td>442.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <td>mean</td>\n",
" <td>-3.634285e-16</td>\n",
" <td>1.308343e-16</td>\n",
" <td>-8.045349e-16</td>\n",
" <td>1.281655e-16</td>\n",
" <td>-8.835316e-17</td>\n",
" <td>1.327024e-16</td>\n",
" <td>-4.574646e-16</td>\n",
" <td>3.777301e-16</td>\n",
" <td>-3.830854e-16</td>\n",
" <td>-3.412882e-16</td>\n",
" <td>152.133484</td>\n",
" </tr>\n",
" <tr>\n",
" <td>std</td>\n",
" <td>4.761905e-02</td>\n",
" <td>4.761905e-02</td>\n",
" <td>4.761905e-02</td>\n",
" <td>4.761905e-02</td>\n",
" <td>4.761905e-02</td>\n",
" <td>4.761905e-02</td>\n",
" <td>4.761905e-02</td>\n",
" <td>4.761905e-02</td>\n",
" <td>4.761905e-02</td>\n",
" <td>4.761905e-02</td>\n",
" <td>77.093005</td>\n",
" </tr>\n",
" <tr>\n",
" <td>min</td>\n",
" <td>-1.072256e-01</td>\n",
" <td>-4.464164e-02</td>\n",
" <td>-9.027530e-02</td>\n",
" <td>-1.123996e-01</td>\n",
" <td>-1.267807e-01</td>\n",
" <td>-1.156131e-01</td>\n",
" <td>-1.023071e-01</td>\n",
" <td>-7.639450e-02</td>\n",
" <td>-1.260974e-01</td>\n",
" <td>-1.377672e-01</td>\n",
" <td>25.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <td>25%</td>\n",
" <td>-3.729927e-02</td>\n",
" <td>-4.464164e-02</td>\n",
" <td>-3.422907e-02</td>\n",
" <td>-3.665645e-02</td>\n",
" <td>-3.424784e-02</td>\n",
" <td>-3.035840e-02</td>\n",
" <td>-3.511716e-02</td>\n",
" <td>-3.949338e-02</td>\n",
" <td>-3.324879e-02</td>\n",
" <td>-3.317903e-02</td>\n",
" <td>87.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <td>50%</td>\n",
" <td>5.383060e-03</td>\n",
" <td>-4.464164e-02</td>\n",
" <td>-7.283766e-03</td>\n",
" <td>-5.670611e-03</td>\n",
" <td>-4.320866e-03</td>\n",
" <td>-3.819065e-03</td>\n",
" <td>-6.584468e-03</td>\n",
" <td>-2.592262e-03</td>\n",
" <td>-1.947634e-03</td>\n",
" <td>-1.077698e-03</td>\n",
" <td>140.500000</td>\n",
" </tr>\n",
" <tr>\n",
" <td>75%</td>\n",
" <td>3.807591e-02</td>\n",
" <td>5.068012e-02</td>\n",
" <td>3.124802e-02</td>\n",
" <td>3.564384e-02</td>\n",
" <td>2.835801e-02</td>\n",
" <td>2.984439e-02</td>\n",
" <td>2.931150e-02</td>\n",
" <td>3.430886e-02</td>\n",
" <td>3.243323e-02</td>\n",
" <td>2.791705e-02</td>\n",
" <td>211.500000</td>\n",
" </tr>\n",
" <tr>\n",
" <td>max</td>\n",
" <td>1.107267e-01</td>\n",
" <td>5.068012e-02</td>\n",
" <td>1.705552e-01</td>\n",
" <td>1.320442e-01</td>\n",
" <td>1.539137e-01</td>\n",
" <td>1.987880e-01</td>\n",
" <td>1.811791e-01</td>\n",
" <td>1.852344e-01</td>\n",
" <td>1.335990e-01</td>\n",
" <td>1.356118e-01</td>\n",
" <td>346.000000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" age sex bmi bp s1 \\\n",
"count 4.420000e+02 4.420000e+02 4.420000e+02 4.420000e+02 4.420000e+02 \n",
"mean -3.634285e-16 1.308343e-16 -8.045349e-16 1.281655e-16 -8.835316e-17 \n",
"std 4.761905e-02 4.761905e-02 4.761905e-02 4.761905e-02 4.761905e-02 \n",
"min -1.072256e-01 -4.464164e-02 -9.027530e-02 -1.123996e-01 -1.267807e-01 \n",
"25% -3.729927e-02 -4.464164e-02 -3.422907e-02 -3.665645e-02 -3.424784e-02 \n",
"50% 5.383060e-03 -4.464164e-02 -7.283766e-03 -5.670611e-03 -4.320866e-03 \n",
"75% 3.807591e-02 5.068012e-02 3.124802e-02 3.564384e-02 2.835801e-02 \n",
"max 1.107267e-01 5.068012e-02 1.705552e-01 1.320442e-01 1.539137e-01 \n",
"\n",
" s2 s3 s4 s5 s6 \\\n",
"count 4.420000e+02 4.420000e+02 4.420000e+02 4.420000e+02 4.420000e+02 \n",
"mean 1.327024e-16 -4.574646e-16 3.777301e-16 -3.830854e-16 -3.412882e-16 \n",
"std 4.761905e-02 4.761905e-02 4.761905e-02 4.761905e-02 4.761905e-02 \n",
"min -1.156131e-01 -1.023071e-01 -7.639450e-02 -1.260974e-01 -1.377672e-01 \n",
"25% -3.035840e-02 -3.511716e-02 -3.949338e-02 -3.324879e-02 -3.317903e-02 \n",
"50% -3.819065e-03 -6.584468e-03 -2.592262e-03 -1.947634e-03 -1.077698e-03 \n",
"75% 2.984439e-02 2.931150e-02 3.430886e-02 3.243323e-02 2.791705e-02 \n",
"max 1.987880e-01 1.811791e-01 1.852344e-01 1.335990e-01 1.356118e-01 \n",
"\n",
" Y \n",
"count 442.000000 \n",
"mean 152.133484 \n",
"std 77.093005 \n",
"min 25.000000 \n",
"25% 87.000000 \n",
"50% 140.500000 \n",
"75% 211.500000 \n",
"max 346.000000 "
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"outputs": [],
"source": [
"# All data in a single dataframe\n",
"df.describe()"
"def = split_data(df):"
]
},
{
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Split Data into Training and Validation Sets"
"## Split the dataframe into test and train data"
]
},
{
{
"cell_type": "code",
"execution_count": 12,
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"def = split_data(df):\n",
"X = df.drop('Y', axis=1).values\n",
"y = df['Y'].values\n",
"\n",
Expand Down Expand Up @@ -310,7 +112,7 @@
"output_type": "execute_result"
}
],
"source": [
"source": [
"# experiment parameters\n",
"args = {\n",
" \"alpha\": 0.5\n",
Expand Down