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cb7865d
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Parent(s):
bd57f1a
edited the saved models
Browse files- GNB_bank_churn_model.pkl +3 -0
- bank_churn_model.pkl → LR_bank_churn_model.pkl +0 -0
- app.py +3 -3
- main.ipynb +163 -159
GNB_bank_churn_model.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:a2931e17f2a09f58b395b195788a37fed3a9d585740a8cbd7d721deb593f8b1c
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size 2119
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bank_churn_model.pkl → LR_bank_churn_model.pkl
RENAMED
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File without changes
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app.py
CHANGED
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@@ -7,7 +7,7 @@ os.system("pip install -r requirements.txt")
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# Load the trained model
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model = joblib.load("
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# Define categorical mappings
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gender_map = {'Male': 0, 'Female': 1}
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customer_age = st.number_input("Enter Customer Age", min_value=1, max_value=100)
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gender = st.selectbox("Gender", list(gender_map.keys()))
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dependent_count = st.number_input("Number of Dependents (e.g children, spouse, or other family members) (0-5)", min_value=0, max_value=
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education_level = st.selectbox("Education Level", list(education_level_map.keys()))
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marital_status = st.selectbox("Marital Status", list(marital_status_map.keys()))
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income_category = st.selectbox("Income Category", list(income_category_map.keys()))
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@@ -33,7 +33,7 @@ card_category = st.selectbox("Card Category", list(card_category_map.keys()))
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months_on_book = st.number_input("Enter Account Total of Months Active", min_value=0, max_value=100)
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total_relationship_count = st.number_input("Total number of accounts or financial products the customer has with the bank ", min_value=0, max_value=100)
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months_inactive_12_mon = st.number_input("Enter number of Years account is Inactive", min_value=0, max_value=100)
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contacts_count_12_mon = st.number_input("Enter
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credit_limit = st.number_input("Enter Maximum Credit Limit", min_value=1, max_value=100000000)
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total_revolving_bal = st.number_input("Enter Total Revolving Balance in Account", min_value=0, max_value=100000000)
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avg_open_to_buy = st.number_input("Enter Average amount of credit available to the customer on a revolving credit account", min_value=0, max_value=100000000)
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# Load the trained model
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model = joblib.load("LR_bank_churn_model.pkl")
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# Define categorical mappings
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gender_map = {'Male': 0, 'Female': 1}
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customer_age = st.number_input("Enter Customer Age", min_value=1, max_value=100)
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gender = st.selectbox("Gender", list(gender_map.keys()))
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dependent_count = st.number_input("Number of Dependents (e.g children, spouse, or other family members) (0-5)", min_value=0, max_value=10)
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education_level = st.selectbox("Education Level", list(education_level_map.keys()))
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marital_status = st.selectbox("Marital Status", list(marital_status_map.keys()))
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income_category = st.selectbox("Income Category", list(income_category_map.keys()))
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months_on_book = st.number_input("Enter Account Total of Months Active", min_value=0, max_value=100)
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total_relationship_count = st.number_input("Total number of accounts or financial products the customer has with the bank ", min_value=0, max_value=100)
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months_inactive_12_mon = st.number_input("Enter number of Years account is Inactive", min_value=0, max_value=100)
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contacts_count_12_mon = st.number_input("Enter Number of Accounts Inactive for Years", min_value=0, max_value=10)
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credit_limit = st.number_input("Enter Maximum Credit Limit", min_value=1, max_value=100000000)
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total_revolving_bal = st.number_input("Enter Total Revolving Balance in Account", min_value=0, max_value=100000000)
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avg_open_to_buy = st.number_input("Enter Average amount of credit available to the customer on a revolving credit account", min_value=0, max_value=100000000)
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main.ipynb
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},
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"dtype: int64"
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"execution_count":
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" 'Avg_Utilization_Ratio']"
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"data": {
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"text/html": [
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"<style>#sk-container-id-
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" /* Definition of color scheme common for light and dark mode */\n",
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"\n",
|
| 1423 |
-
"#sk-container-id-
|
| 1424 |
" content: \"▾\";\n",
|
| 1425 |
"}\n",
|
| 1426 |
"\n",
|
| 1427 |
"/* Pipeline/ColumnTransformer-specific style */\n",
|
| 1428 |
"\n",
|
| 1429 |
-
"#sk-container-id-
|
| 1430 |
" color: var(--sklearn-color-text);\n",
|
| 1431 |
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
| 1432 |
"}\n",
|
| 1433 |
"\n",
|
| 1434 |
-
"#sk-container-id-
|
| 1435 |
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
| 1436 |
"}\n",
|
| 1437 |
"\n",
|
| 1438 |
"/* Estimator-specific style */\n",
|
| 1439 |
"\n",
|
| 1440 |
"/* Colorize estimator box */\n",
|
| 1441 |
-
"#sk-container-id-
|
| 1442 |
" /* unfitted */\n",
|
| 1443 |
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
| 1444 |
"}\n",
|
| 1445 |
"\n",
|
| 1446 |
-
"#sk-container-id-
|
| 1447 |
" /* fitted */\n",
|
| 1448 |
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
| 1449 |
"}\n",
|
| 1450 |
"\n",
|
| 1451 |
-
"#sk-container-id-
|
| 1452 |
-
"#sk-container-id-
|
| 1453 |
" /* The background is the default theme color */\n",
|
| 1454 |
" color: var(--sklearn-color-text-on-default-background);\n",
|
| 1455 |
"}\n",
|
| 1456 |
"\n",
|
| 1457 |
"/* On hover, darken the color of the background */\n",
|
| 1458 |
-
"#sk-container-id-
|
| 1459 |
" color: var(--sklearn-color-text);\n",
|
| 1460 |
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
| 1461 |
"}\n",
|
| 1462 |
"\n",
|
| 1463 |
"/* Label box, darken color on hover, fitted */\n",
|
| 1464 |
-
"#sk-container-id-
|
| 1465 |
" color: var(--sklearn-color-text);\n",
|
| 1466 |
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
| 1467 |
"}\n",
|
| 1468 |
"\n",
|
| 1469 |
"/* Estimator label */\n",
|
| 1470 |
"\n",
|
| 1471 |
-
"#sk-container-id-
|
| 1472 |
" font-family: monospace;\n",
|
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" font-weight: bold;\n",
|
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" display: inline-block;\n",
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" line-height: 1.2em;\n",
|
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"}\n",
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"\n",
|
| 1478 |
-
"#sk-container-id-
|
| 1479 |
" text-align: center;\n",
|
| 1480 |
"}\n",
|
| 1481 |
"\n",
|
| 1482 |
"/* Estimator-specific */\n",
|
| 1483 |
-
"#sk-container-id-
|
| 1484 |
" font-family: monospace;\n",
|
| 1485 |
" border: 1px dotted var(--sklearn-color-border-box);\n",
|
| 1486 |
" border-radius: 0.25em;\n",
|
|
@@ -1490,18 +1496,18 @@
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" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
| 1491 |
"}\n",
|
| 1492 |
"\n",
|
| 1493 |
-
"#sk-container-id-
|
| 1494 |
" /* fitted */\n",
|
| 1495 |
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
| 1496 |
"}\n",
|
| 1497 |
"\n",
|
| 1498 |
"/* on hover */\n",
|
| 1499 |
-
"#sk-container-id-
|
| 1500 |
" /* unfitted */\n",
|
| 1501 |
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
| 1502 |
"}\n",
|
| 1503 |
"\n",
|
| 1504 |
-
"#sk-container-id-
|
| 1505 |
" /* fitted */\n",
|
| 1506 |
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
| 1507 |
"}\n",
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@@ -1588,7 +1594,7 @@
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|
| 1588 |
"\n",
|
| 1589 |
"/* \"?\"-specific style due to the `<a>` HTML tag */\n",
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| 1590 |
"\n",
|
| 1591 |
-
"#sk-container-id-
|
| 1592 |
" float: right;\n",
|
| 1593 |
" font-size: 1rem;\n",
|
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" line-height: 1em;\n",
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| 1603 |
" border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
|
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"}\n",
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| 1605 |
"\n",
|
| 1606 |
-
"#sk-container-id-
|
| 1607 |
" /* fitted */\n",
|
| 1608 |
" border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
|
| 1609 |
" color: var(--sklearn-color-fitted-level-1);\n",
|
| 1610 |
"}\n",
|
| 1611 |
"\n",
|
| 1612 |
"/* On hover */\n",
|
| 1613 |
-
"#sk-container-id-
|
| 1614 |
" /* unfitted */\n",
|
| 1615 |
" background-color: var(--sklearn-color-unfitted-level-3);\n",
|
| 1616 |
" color: var(--sklearn-color-background);\n",
|
| 1617 |
" text-decoration: none;\n",
|
| 1618 |
"}\n",
|
| 1619 |
"\n",
|
| 1620 |
-
"#sk-container-id-
|
| 1621 |
" /* fitted */\n",
|
| 1622 |
" background-color: var(--sklearn-color-fitted-level-3);\n",
|
| 1623 |
"}\n",
|
| 1624 |
-
"</style><div id=\"sk-container-id-
|
| 1625 |
],
|
| 1626 |
"text/plain": [
|
| 1627 |
"GaussianNB()"
|
| 1628 |
]
|
| 1629 |
},
|
| 1630 |
-
"execution_count":
|
| 1631 |
"metadata": {},
|
| 1632 |
"output_type": "execute_result"
|
| 1633 |
}
|
| 1634 |
],
|
| 1635 |
"source": [
|
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-
"
|
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-
"
|
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]
|
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},
|
| 1640 |
{
|
| 1641 |
"cell_type": "code",
|
| 1642 |
-
"execution_count":
|
| 1643 |
"metadata": {},
|
| 1644 |
"outputs": [],
|
| 1645 |
"source": [
|
| 1646 |
-
"y_pred =
|
| 1647 |
]
|
| 1648 |
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|
| 1649 |
{
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@@ -1656,7 +1662,7 @@
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| 1656 |
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|
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{
|
| 1658 |
"cell_type": "code",
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| 1659 |
-
"execution_count":
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| 1660 |
"metadata": {},
|
| 1661 |
"outputs": [
|
| 1662 |
{
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@@ -1674,7 +1680,7 @@
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|
| 1674 |
},
|
| 1675 |
{
|
| 1676 |
"cell_type": "code",
|
| 1677 |
-
"execution_count":
|
| 1678 |
"metadata": {},
|
| 1679 |
"outputs": [
|
| 1680 |
{
|
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@@ -1723,6 +1729,24 @@
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|
| 1723 |
"\n"
|
| 1724 |
]
|
| 1725 |
},
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|
| 1726 |
{
|
| 1727 |
"cell_type": "markdown",
|
| 1728 |
"metadata": {},
|
|
@@ -1736,7 +1760,7 @@
|
|
| 1736 |
},
|
| 1737 |
{
|
| 1738 |
"cell_type": "code",
|
| 1739 |
-
"execution_count":
|
| 1740 |
"metadata": {},
|
| 1741 |
"outputs": [],
|
| 1742 |
"source": [
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|
@@ -1745,13 +1769,13 @@
|
|
| 1745 |
},
|
| 1746 |
{
|
| 1747 |
"cell_type": "code",
|
| 1748 |
-
"execution_count":
|
| 1749 |
"metadata": {},
|
| 1750 |
"outputs": [
|
| 1751 |
{
|
| 1752 |
"data": {
|
| 1753 |
"text/html": [
|
| 1754 |
-
"<style>#sk-container-id-
|
| 1755 |
" /* Definition of color scheme common for light and dark mode */\n",
|
| 1756 |
" --sklearn-color-text: black;\n",
|
| 1757 |
" --sklearn-color-line: gray;\n",
|
|
@@ -1781,15 +1805,15 @@
|
|
| 1781 |
" }\n",
|
| 1782 |
"}\n",
|
| 1783 |
"\n",
|
| 1784 |
-
"#sk-container-id-
|
| 1785 |
" color: var(--sklearn-color-text);\n",
|
| 1786 |
"}\n",
|
| 1787 |
"\n",
|
| 1788 |
-
"#sk-container-id-
|
| 1789 |
" padding: 0;\n",
|
| 1790 |
"}\n",
|
| 1791 |
"\n",
|
| 1792 |
-
"#sk-container-id-
|
| 1793 |
" border: 0;\n",
|
| 1794 |
" clip: rect(1px 1px 1px 1px);\n",
|
| 1795 |
" clip: rect(1px, 1px, 1px, 1px);\n",
|
|
@@ -1801,7 +1825,7 @@
|
|
| 1801 |
" width: 1px;\n",
|
| 1802 |
"}\n",
|
| 1803 |
"\n",
|
| 1804 |
-
"#sk-container-id-
|
| 1805 |
" border: 1px dashed var(--sklearn-color-line);\n",
|
| 1806 |
" margin: 0 0.4em 0.5em 0.4em;\n",
|
| 1807 |
" box-sizing: border-box;\n",
|
|
@@ -1809,7 +1833,7 @@
|
|
| 1809 |
" background-color: var(--sklearn-color-background);\n",
|
| 1810 |
"}\n",
|
| 1811 |
"\n",
|
| 1812 |
-
"#sk-container-id-
|
| 1813 |
" /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
|
| 1814 |
" but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
|
| 1815 |
" so we also need the `!important` here to be able to override the\n",
|
|
@@ -1819,7 +1843,7 @@
|
|
| 1819 |
" position: relative;\n",
|
| 1820 |
"}\n",
|
| 1821 |
"\n",
|
| 1822 |
-
"#sk-container-id-
|
| 1823 |
" display: none;\n",
|
| 1824 |
"}\n",
|
| 1825 |
"\n",
|
|
@@ -1835,14 +1859,14 @@
|
|
| 1835 |
"\n",
|
| 1836 |
"/* Parallel-specific style estimator block */\n",
|
| 1837 |
"\n",
|
| 1838 |
-
"#sk-container-id-
|
| 1839 |
" content: \"\";\n",
|
| 1840 |
" width: 100%;\n",
|
| 1841 |
" border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
|
| 1842 |
" flex-grow: 1;\n",
|
| 1843 |
"}\n",
|
| 1844 |
"\n",
|
| 1845 |
-
"#sk-container-id-
|
| 1846 |
" display: flex;\n",
|
| 1847 |
" align-items: stretch;\n",
|
| 1848 |
" justify-content: center;\n",
|
|
@@ -1850,28 +1874,28 @@
|
|
| 1850 |
" position: relative;\n",
|
| 1851 |
"}\n",
|
| 1852 |
"\n",
|
| 1853 |
-
"#sk-container-id-
|
| 1854 |
" display: flex;\n",
|
| 1855 |
" flex-direction: column;\n",
|
| 1856 |
"}\n",
|
| 1857 |
"\n",
|
| 1858 |
-
"#sk-container-id-
|
| 1859 |
" align-self: flex-end;\n",
|
| 1860 |
" width: 50%;\n",
|
| 1861 |
"}\n",
|
| 1862 |
"\n",
|
| 1863 |
-
"#sk-container-id-
|
| 1864 |
" align-self: flex-start;\n",
|
| 1865 |
" width: 50%;\n",
|
| 1866 |
"}\n",
|
| 1867 |
"\n",
|
| 1868 |
-
"#sk-container-id-
|
| 1869 |
" width: 0;\n",
|
| 1870 |
"}\n",
|
| 1871 |
"\n",
|
| 1872 |
"/* Serial-specific style estimator block */\n",
|
| 1873 |
"\n",
|
| 1874 |
-
"#sk-container-id-
|
| 1875 |
" display: flex;\n",
|
| 1876 |
" flex-direction: column;\n",
|
| 1877 |
" align-items: center;\n",
|
|
@@ -1889,14 +1913,14 @@
|
|
| 1889 |
"\n",
|
| 1890 |
"/* Pipeline and ColumnTransformer style (default) */\n",
|
| 1891 |
"\n",
|
| 1892 |
-
"#sk-container-id-
|
| 1893 |
" /* Default theme specific background. It is overwritten whether we have a\n",
|
| 1894 |
" specific estimator or a Pipeline/ColumnTransformer */\n",
|
| 1895 |
" background-color: var(--sklearn-color-background);\n",
|
| 1896 |
"}\n",
|
| 1897 |
"\n",
|
| 1898 |
"/* Toggleable label */\n",
|
| 1899 |
-
"#sk-container-id-
|
| 1900 |
" cursor: pointer;\n",
|
| 1901 |
" display: block;\n",
|
| 1902 |
" width: 100%;\n",
|
|
@@ -1906,7 +1930,7 @@
|
|
| 1906 |
" text-align: center;\n",
|
| 1907 |
"}\n",
|
| 1908 |
"\n",
|
| 1909 |
-
"#sk-container-id-
|
| 1910 |
" /* Arrow on the left of the label */\n",
|
| 1911 |
" content: \"▸\";\n",
|
| 1912 |
" float: left;\n",
|
|
@@ -1914,13 +1938,13 @@
|
|
| 1914 |
" color: var(--sklearn-color-icon);\n",
|
| 1915 |
"}\n",
|
| 1916 |
"\n",
|
| 1917 |
-
"#sk-container-id-
|
| 1918 |
" color: var(--sklearn-color-text);\n",
|
| 1919 |
"}\n",
|
| 1920 |
"\n",
|
| 1921 |
"/* Toggleable content - dropdown */\n",
|
| 1922 |
"\n",
|
| 1923 |
-
"#sk-container-id-
|
| 1924 |
" max-height: 0;\n",
|
| 1925 |
" max-width: 0;\n",
|
| 1926 |
" overflow: hidden;\n",
|
|
@@ -1929,12 +1953,12 @@
|
|
| 1929 |
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
| 1930 |
"}\n",
|
| 1931 |
"\n",
|
| 1932 |
-
"#sk-container-id-
|
| 1933 |
" /* fitted */\n",
|
| 1934 |
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
| 1935 |
"}\n",
|
| 1936 |
"\n",
|
| 1937 |
-
"#sk-container-id-
|
| 1938 |
" margin: 0.2em;\n",
|
| 1939 |
" border-radius: 0.25em;\n",
|
| 1940 |
" color: var(--sklearn-color-text);\n",
|
|
@@ -1942,79 +1966,79 @@
|
|
| 1942 |
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
| 1943 |
"}\n",
|
| 1944 |
"\n",
|
| 1945 |
-
"#sk-container-id-
|
| 1946 |
" /* unfitted */\n",
|
| 1947 |
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
| 1948 |
"}\n",
|
| 1949 |
"\n",
|
| 1950 |
-
"#sk-container-id-
|
| 1951 |
" /* Expand drop-down */\n",
|
| 1952 |
" max-height: 200px;\n",
|
| 1953 |
" max-width: 100%;\n",
|
| 1954 |
" overflow: auto;\n",
|
| 1955 |
"}\n",
|
| 1956 |
"\n",
|
| 1957 |
-
"#sk-container-id-
|
| 1958 |
" content: \"▾\";\n",
|
| 1959 |
"}\n",
|
| 1960 |
"\n",
|
| 1961 |
"/* Pipeline/ColumnTransformer-specific style */\n",
|
| 1962 |
"\n",
|
| 1963 |
-
"#sk-container-id-
|
| 1964 |
" color: var(--sklearn-color-text);\n",
|
| 1965 |
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
| 1966 |
"}\n",
|
| 1967 |
"\n",
|
| 1968 |
-
"#sk-container-id-
|
| 1969 |
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
| 1970 |
"}\n",
|
| 1971 |
"\n",
|
| 1972 |
"/* Estimator-specific style */\n",
|
| 1973 |
"\n",
|
| 1974 |
"/* Colorize estimator box */\n",
|
| 1975 |
-
"#sk-container-id-
|
| 1976 |
" /* unfitted */\n",
|
| 1977 |
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
| 1978 |
"}\n",
|
| 1979 |
"\n",
|
| 1980 |
-
"#sk-container-id-
|
| 1981 |
" /* fitted */\n",
|
| 1982 |
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
| 1983 |
"}\n",
|
| 1984 |
"\n",
|
| 1985 |
-
"#sk-container-id-
|
| 1986 |
-
"#sk-container-id-
|
| 1987 |
" /* The background is the default theme color */\n",
|
| 1988 |
" color: var(--sklearn-color-text-on-default-background);\n",
|
| 1989 |
"}\n",
|
| 1990 |
"\n",
|
| 1991 |
"/* On hover, darken the color of the background */\n",
|
| 1992 |
-
"#sk-container-id-
|
| 1993 |
" color: var(--sklearn-color-text);\n",
|
| 1994 |
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
| 1995 |
"}\n",
|
| 1996 |
"\n",
|
| 1997 |
"/* Label box, darken color on hover, fitted */\n",
|
| 1998 |
-
"#sk-container-id-
|
| 1999 |
" color: var(--sklearn-color-text);\n",
|
| 2000 |
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
| 2001 |
"}\n",
|
| 2002 |
"\n",
|
| 2003 |
"/* Estimator label */\n",
|
| 2004 |
"\n",
|
| 2005 |
-
"#sk-container-id-
|
| 2006 |
" font-family: monospace;\n",
|
| 2007 |
" font-weight: bold;\n",
|
| 2008 |
" display: inline-block;\n",
|
| 2009 |
" line-height: 1.2em;\n",
|
| 2010 |
"}\n",
|
| 2011 |
"\n",
|
| 2012 |
-
"#sk-container-id-
|
| 2013 |
" text-align: center;\n",
|
| 2014 |
"}\n",
|
| 2015 |
"\n",
|
| 2016 |
"/* Estimator-specific */\n",
|
| 2017 |
-
"#sk-container-id-
|
| 2018 |
" font-family: monospace;\n",
|
| 2019 |
" border: 1px dotted var(--sklearn-color-border-box);\n",
|
| 2020 |
" border-radius: 0.25em;\n",
|
|
@@ -2024,18 +2048,18 @@
|
|
| 2024 |
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
| 2025 |
"}\n",
|
| 2026 |
"\n",
|
| 2027 |
-
"#sk-container-id-
|
| 2028 |
" /* fitted */\n",
|
| 2029 |
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
| 2030 |
"}\n",
|
| 2031 |
"\n",
|
| 2032 |
"/* on hover */\n",
|
| 2033 |
-
"#sk-container-id-
|
| 2034 |
" /* unfitted */\n",
|
| 2035 |
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
| 2036 |
"}\n",
|
| 2037 |
"\n",
|
| 2038 |
-
"#sk-container-id-
|
| 2039 |
" /* fitted */\n",
|
| 2040 |
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
| 2041 |
"}\n",
|
|
@@ -2122,7 +2146,7 @@
|
|
| 2122 |
"\n",
|
| 2123 |
"/* \"?\"-specific style due to the `<a>` HTML tag */\n",
|
| 2124 |
"\n",
|
| 2125 |
-
"#sk-container-id-
|
| 2126 |
" float: right;\n",
|
| 2127 |
" font-size: 1rem;\n",
|
| 2128 |
" line-height: 1em;\n",
|
|
@@ -2137,49 +2161,49 @@
|
|
| 2137 |
" border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
|
| 2138 |
"}\n",
|
| 2139 |
"\n",
|
| 2140 |
-
"#sk-container-id-
|
| 2141 |
" /* fitted */\n",
|
| 2142 |
" border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
|
| 2143 |
" color: var(--sklearn-color-fitted-level-1);\n",
|
| 2144 |
"}\n",
|
| 2145 |
"\n",
|
| 2146 |
"/* On hover */\n",
|
| 2147 |
-
"#sk-container-id-
|
| 2148 |
" /* unfitted */\n",
|
| 2149 |
" background-color: var(--sklearn-color-unfitted-level-3);\n",
|
| 2150 |
" color: var(--sklearn-color-background);\n",
|
| 2151 |
" text-decoration: none;\n",
|
| 2152 |
"}\n",
|
| 2153 |
"\n",
|
| 2154 |
-
"#sk-container-id-
|
| 2155 |
" /* fitted */\n",
|
| 2156 |
" background-color: var(--sklearn-color-fitted-level-3);\n",
|
| 2157 |
"}\n",
|
| 2158 |
-
"</style><div id=\"sk-container-id-
|
| 2159 |
],
|
| 2160 |
"text/plain": [
|
| 2161 |
"LogisticRegression(max_iter=5250)"
|
| 2162 |
]
|
| 2163 |
},
|
| 2164 |
-
"execution_count":
|
| 2165 |
"metadata": {},
|
| 2166 |
"output_type": "execute_result"
|
| 2167 |
}
|
| 2168 |
],
|
| 2169 |
"source": [
|
| 2170 |
"# Initialize and train the model\n",
|
| 2171 |
-
"
|
| 2172 |
-
"
|
| 2173 |
]
|
| 2174 |
},
|
| 2175 |
{
|
| 2176 |
"cell_type": "code",
|
| 2177 |
-
"execution_count":
|
| 2178 |
"metadata": {},
|
| 2179 |
"outputs": [],
|
| 2180 |
"source": [
|
| 2181 |
"# Make predictions\n",
|
| 2182 |
-
"y_pred =
|
| 2183 |
]
|
| 2184 |
},
|
| 2185 |
{
|
|
@@ -2193,7 +2217,7 @@
|
|
| 2193 |
},
|
| 2194 |
{
|
| 2195 |
"cell_type": "code",
|
| 2196 |
-
"execution_count":
|
| 2197 |
"metadata": {},
|
| 2198 |
"outputs": [
|
| 2199 |
{
|
|
@@ -2211,7 +2235,7 @@
|
|
| 2211 |
},
|
| 2212 |
{
|
| 2213 |
"cell_type": "code",
|
| 2214 |
-
"execution_count":
|
| 2215 |
"metadata": {},
|
| 2216 |
"outputs": [
|
| 2217 |
{
|
|
@@ -2261,6 +2285,15 @@
|
|
| 2261 |
"\n"
|
| 2262 |
]
|
| 2263 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2264 |
{
|
| 2265 |
"cell_type": "markdown",
|
| 2266 |
"metadata": {},
|
|
@@ -2272,7 +2305,7 @@
|
|
| 2272 |
},
|
| 2273 |
{
|
| 2274 |
"cell_type": "code",
|
| 2275 |
-
"execution_count":
|
| 2276 |
"metadata": {},
|
| 2277 |
"outputs": [
|
| 2278 |
{
|
|
@@ -2284,38 +2317,9 @@
|
|
| 2284 |
}
|
| 2285 |
],
|
| 2286 |
"source": [
|
| 2287 |
-
"joblib.dump(
|
| 2288 |
"print('Model saved')"
|
| 2289 |
]
|
| 2290 |
-
},
|
| 2291 |
-
{
|
| 2292 |
-
"cell_type": "code",
|
| 2293 |
-
"execution_count": 188,
|
| 2294 |
-
"metadata": {},
|
| 2295 |
-
"outputs": [
|
| 2296 |
-
{
|
| 2297 |
-
"data": {
|
| 2298 |
-
"text/plain": [
|
| 2299 |
-
"array([ 42, 33, 20, 28, 24, 31, 36, 32, 26, 17, 29, 27, 21,\n",
|
| 2300 |
-
" 30, 16, 18, 23, 22, 40, 38, 25, 43, 37, 19, 35, 15,\n",
|
| 2301 |
-
" 41, 57, 12, 14, 34, 44, 13, 47, 10, 39, 53, 50, 52,\n",
|
| 2302 |
-
" 48, 49, 45, 11, 55, 46, 54, 60, 51, 63, 58, 59, 61,\n",
|
| 2303 |
-
" 78, 64, 65, 62, 67, 66, 56, 69, 71, 75, 74, 76, 84,\n",
|
| 2304 |
-
" 82, 88, 68, 70, 73, 86, 72, 79, 80, 85, 81, 87, 83,\n",
|
| 2305 |
-
" 91, 89, 77, 103, 93, 96, 99, 92, 90, 94, 95, 98, 100,\n",
|
| 2306 |
-
" 102, 97, 101, 104, 105, 106, 107, 109, 118, 108, 122, 113, 112,\n",
|
| 2307 |
-
" 111, 127, 114, 124, 110, 120, 125, 121, 117, 126, 134, 116, 119,\n",
|
| 2308 |
-
" 129, 131, 115, 128, 139, 123, 130, 138, 132], dtype=int64)"
|
| 2309 |
-
]
|
| 2310 |
-
},
|
| 2311 |
-
"execution_count": 188,
|
| 2312 |
-
"metadata": {},
|
| 2313 |
-
"output_type": "execute_result"
|
| 2314 |
-
}
|
| 2315 |
-
],
|
| 2316 |
-
"source": [
|
| 2317 |
-
"df['Total_Trans_Ct'].unique()"
|
| 2318 |
-
]
|
| 2319 |
}
|
| 2320 |
],
|
| 2321 |
"metadata": {
|
|
|
|
| 15 |
},
|
| 16 |
{
|
| 17 |
"cell_type": "code",
|
| 18 |
+
"execution_count": 1,
|
| 19 |
"metadata": {},
|
| 20 |
"outputs": [],
|
| 21 |
"source": [
|
|
|
|
| 41 |
},
|
| 42 |
{
|
| 43 |
"cell_type": "code",
|
| 44 |
+
"execution_count": 2,
|
| 45 |
"metadata": {},
|
| 46 |
"outputs": [],
|
| 47 |
"source": [
|
|
|
|
| 50 |
},
|
| 51 |
{
|
| 52 |
"cell_type": "code",
|
| 53 |
+
"execution_count": 3,
|
| 54 |
"metadata": {},
|
| 55 |
"outputs": [
|
| 56 |
{
|
|
|
|
| 276 |
"[5 rows x 23 columns]"
|
| 277 |
]
|
| 278 |
},
|
| 279 |
+
"execution_count": 3,
|
| 280 |
"metadata": {},
|
| 281 |
"output_type": "execute_result"
|
| 282 |
}
|
|
|
|
| 300 |
},
|
| 301 |
{
|
| 302 |
"cell_type": "code",
|
| 303 |
+
"execution_count": 4,
|
| 304 |
"metadata": {},
|
| 305 |
"outputs": [],
|
| 306 |
"source": [
|
|
|
|
| 316 |
},
|
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{
|
| 318 |
"cell_type": "code",
|
| 319 |
+
"execution_count": 5,
|
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"metadata": {},
|
| 321 |
"outputs": [
|
| 322 |
{
|
|
|
|
| 359 |
},
|
| 360 |
{
|
| 361 |
"cell_type": "code",
|
| 362 |
+
"execution_count": 6,
|
| 363 |
"metadata": {},
|
| 364 |
"outputs": [
|
| 365 |
{
|
|
|
|
| 388 |
"dtype: int64"
|
| 389 |
]
|
| 390 |
},
|
| 391 |
+
"execution_count": 6,
|
| 392 |
"metadata": {},
|
| 393 |
"output_type": "execute_result"
|
| 394 |
}
|
|
|
|
| 406 |
},
|
| 407 |
{
|
| 408 |
"cell_type": "code",
|
| 409 |
+
"execution_count": 7,
|
| 410 |
"metadata": {},
|
| 411 |
"outputs": [],
|
| 412 |
"source": [
|
|
|
|
| 418 |
},
|
| 419 |
{
|
| 420 |
"cell_type": "code",
|
| 421 |
+
"execution_count": 8,
|
| 422 |
"metadata": {},
|
| 423 |
"outputs": [
|
| 424 |
{
|
|
|
|
| 440 |
" 'Avg_Utilization_Ratio']"
|
| 441 |
]
|
| 442 |
},
|
| 443 |
+
"execution_count": 8,
|
| 444 |
"metadata": {},
|
| 445 |
"output_type": "execute_result"
|
| 446 |
}
|
|
|
|
| 451 |
},
|
| 452 |
{
|
| 453 |
"cell_type": "code",
|
| 454 |
+
"execution_count": 9,
|
| 455 |
"metadata": {},
|
| 456 |
"outputs": [],
|
| 457 |
"source": [
|
|
|
|
| 469 |
},
|
| 470 |
{
|
| 471 |
"cell_type": "code",
|
| 472 |
+
"execution_count": 10,
|
| 473 |
"metadata": {},
|
| 474 |
"outputs": [],
|
| 475 |
"source": [
|
|
|
|
| 481 |
},
|
| 482 |
{
|
| 483 |
"cell_type": "code",
|
| 484 |
+
"execution_count": 11,
|
| 485 |
"metadata": {},
|
| 486 |
"outputs": [
|
| 487 |
{
|
|
|
|
| 868 |
"[10127 rows x 20 columns]"
|
| 869 |
]
|
| 870 |
},
|
| 871 |
+
"execution_count": 11,
|
| 872 |
"metadata": {},
|
| 873 |
"output_type": "execute_result"
|
| 874 |
}
|
|
|
|
| 879 |
},
|
| 880 |
{
|
| 881 |
"cell_type": "code",
|
| 882 |
+
"execution_count": 12,
|
| 883 |
"metadata": {},
|
| 884 |
"outputs": [
|
| 885 |
{
|
|
|
|
| 902 |
},
|
| 903 |
{
|
| 904 |
"cell_type": "code",
|
| 905 |
+
"execution_count": 13,
|
| 906 |
"metadata": {},
|
| 907 |
"outputs": [
|
| 908 |
{
|
|
|
|
| 926 |
"cell_type": "markdown",
|
| 927 |
"metadata": {},
|
| 928 |
"source": [
|
| 929 |
+
"The correlation matrix measures the linear relationship between pairs of variables. The correlation coefficient (ranging from -1 to +1) indicates how strongly two variables are related.\n",
|
| 930 |
+
"\n",
|
| 931 |
+
"+1 indicates a perfect positive correlation (when one variable increases, the other also increases).\n",
|
| 932 |
+
"\n",
|
| 933 |
+
"-1 indicates a perfect negative correlation (when one variable increases, the other decreases).\n",
|
| 934 |
+
"\n",
|
| 935 |
+
"0 indicates no linear correlation."
|
| 936 |
]
|
| 937 |
},
|
| 938 |
{
|
|
|
|
| 953 |
},
|
| 954 |
{
|
| 955 |
"cell_type": "code",
|
| 956 |
+
"execution_count": 14,
|
| 957 |
"metadata": {},
|
| 958 |
"outputs": [],
|
| 959 |
"source": [
|
|
|
|
| 965 |
},
|
| 966 |
{
|
| 967 |
"cell_type": "code",
|
| 968 |
+
"execution_count": 15,
|
| 969 |
"metadata": {},
|
| 970 |
"outputs": [],
|
| 971 |
"source": [
|
|
|
|
| 975 |
},
|
| 976 |
{
|
| 977 |
"cell_type": "code",
|
| 978 |
+
"execution_count": 16,
|
| 979 |
"metadata": {},
|
| 980 |
"outputs": [
|
| 981 |
{
|
|
|
|
| 1172 |
"4 816 28 2.500 0.000 "
|
| 1173 |
]
|
| 1174 |
},
|
| 1175 |
+
"execution_count": 16,
|
| 1176 |
"metadata": {},
|
| 1177 |
"output_type": "execute_result"
|
| 1178 |
}
|
|
|
|
| 1183 |
},
|
| 1184 |
{
|
| 1185 |
"cell_type": "code",
|
| 1186 |
+
"execution_count": 17,
|
| 1187 |
"metadata": {},
|
| 1188 |
"outputs": [
|
| 1189 |
{
|
|
|
|
| 1197 |
"Name: Attrition_Flag, dtype: int64"
|
| 1198 |
]
|
| 1199 |
},
|
| 1200 |
+
"execution_count": 17,
|
| 1201 |
"metadata": {},
|
| 1202 |
"output_type": "execute_result"
|
| 1203 |
}
|
|
|
|
| 1208 |
},
|
| 1209 |
{
|
| 1210 |
"cell_type": "code",
|
| 1211 |
+
"execution_count": 18,
|
| 1212 |
"metadata": {},
|
| 1213 |
"outputs": [],
|
| 1214 |
"source": [
|
|
|
|
| 1217 |
},
|
| 1218 |
{
|
| 1219 |
"cell_type": "code",
|
| 1220 |
+
"execution_count": 19,
|
| 1221 |
"metadata": {},
|
| 1222 |
"outputs": [
|
| 1223 |
{
|
| 1224 |
"data": {
|
| 1225 |
"text/html": [
|
| 1226 |
+
"<style>#sk-container-id-1 {\n",
|
| 1227 |
" /* Definition of color scheme common for light and dark mode */\n",
|
| 1228 |
" --sklearn-color-text: black;\n",
|
| 1229 |
" --sklearn-color-line: gray;\n",
|
|
|
|
| 1253 |
" }\n",
|
| 1254 |
"}\n",
|
| 1255 |
"\n",
|
| 1256 |
+
"#sk-container-id-1 {\n",
|
| 1257 |
" color: var(--sklearn-color-text);\n",
|
| 1258 |
"}\n",
|
| 1259 |
"\n",
|
| 1260 |
+
"#sk-container-id-1 pre {\n",
|
| 1261 |
" padding: 0;\n",
|
| 1262 |
"}\n",
|
| 1263 |
"\n",
|
| 1264 |
+
"#sk-container-id-1 input.sk-hidden--visually {\n",
|
| 1265 |
" border: 0;\n",
|
| 1266 |
" clip: rect(1px 1px 1px 1px);\n",
|
| 1267 |
" clip: rect(1px, 1px, 1px, 1px);\n",
|
|
|
|
| 1273 |
" width: 1px;\n",
|
| 1274 |
"}\n",
|
| 1275 |
"\n",
|
| 1276 |
+
"#sk-container-id-1 div.sk-dashed-wrapped {\n",
|
| 1277 |
" border: 1px dashed var(--sklearn-color-line);\n",
|
| 1278 |
" margin: 0 0.4em 0.5em 0.4em;\n",
|
| 1279 |
" box-sizing: border-box;\n",
|
|
|
|
| 1281 |
" background-color: var(--sklearn-color-background);\n",
|
| 1282 |
"}\n",
|
| 1283 |
"\n",
|
| 1284 |
+
"#sk-container-id-1 div.sk-container {\n",
|
| 1285 |
" /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
|
| 1286 |
" but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
|
| 1287 |
" so we also need the `!important` here to be able to override the\n",
|
|
|
|
| 1291 |
" position: relative;\n",
|
| 1292 |
"}\n",
|
| 1293 |
"\n",
|
| 1294 |
+
"#sk-container-id-1 div.sk-text-repr-fallback {\n",
|
| 1295 |
" display: none;\n",
|
| 1296 |
"}\n",
|
| 1297 |
"\n",
|
|
|
|
| 1307 |
"\n",
|
| 1308 |
"/* Parallel-specific style estimator block */\n",
|
| 1309 |
"\n",
|
| 1310 |
+
"#sk-container-id-1 div.sk-parallel-item::after {\n",
|
| 1311 |
" content: \"\";\n",
|
| 1312 |
" width: 100%;\n",
|
| 1313 |
" border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
|
| 1314 |
" flex-grow: 1;\n",
|
| 1315 |
"}\n",
|
| 1316 |
"\n",
|
| 1317 |
+
"#sk-container-id-1 div.sk-parallel {\n",
|
| 1318 |
" display: flex;\n",
|
| 1319 |
" align-items: stretch;\n",
|
| 1320 |
" justify-content: center;\n",
|
|
|
|
| 1322 |
" position: relative;\n",
|
| 1323 |
"}\n",
|
| 1324 |
"\n",
|
| 1325 |
+
"#sk-container-id-1 div.sk-parallel-item {\n",
|
| 1326 |
" display: flex;\n",
|
| 1327 |
" flex-direction: column;\n",
|
| 1328 |
"}\n",
|
| 1329 |
"\n",
|
| 1330 |
+
"#sk-container-id-1 div.sk-parallel-item:first-child::after {\n",
|
| 1331 |
" align-self: flex-end;\n",
|
| 1332 |
" width: 50%;\n",
|
| 1333 |
"}\n",
|
| 1334 |
"\n",
|
| 1335 |
+
"#sk-container-id-1 div.sk-parallel-item:last-child::after {\n",
|
| 1336 |
" align-self: flex-start;\n",
|
| 1337 |
" width: 50%;\n",
|
| 1338 |
"}\n",
|
| 1339 |
"\n",
|
| 1340 |
+
"#sk-container-id-1 div.sk-parallel-item:only-child::after {\n",
|
| 1341 |
" width: 0;\n",
|
| 1342 |
"}\n",
|
| 1343 |
"\n",
|
| 1344 |
"/* Serial-specific style estimator block */\n",
|
| 1345 |
"\n",
|
| 1346 |
+
"#sk-container-id-1 div.sk-serial {\n",
|
| 1347 |
" display: flex;\n",
|
| 1348 |
" flex-direction: column;\n",
|
| 1349 |
" align-items: center;\n",
|
|
|
|
| 1361 |
"\n",
|
| 1362 |
"/* Pipeline and ColumnTransformer style (default) */\n",
|
| 1363 |
"\n",
|
| 1364 |
+
"#sk-container-id-1 div.sk-toggleable {\n",
|
| 1365 |
" /* Default theme specific background. It is overwritten whether we have a\n",
|
| 1366 |
" specific estimator or a Pipeline/ColumnTransformer */\n",
|
| 1367 |
" background-color: var(--sklearn-color-background);\n",
|
| 1368 |
"}\n",
|
| 1369 |
"\n",
|
| 1370 |
"/* Toggleable label */\n",
|
| 1371 |
+
"#sk-container-id-1 label.sk-toggleable__label {\n",
|
| 1372 |
" cursor: pointer;\n",
|
| 1373 |
" display: block;\n",
|
| 1374 |
" width: 100%;\n",
|
|
|
|
| 1378 |
" text-align: center;\n",
|
| 1379 |
"}\n",
|
| 1380 |
"\n",
|
| 1381 |
+
"#sk-container-id-1 label.sk-toggleable__label-arrow:before {\n",
|
| 1382 |
" /* Arrow on the left of the label */\n",
|
| 1383 |
" content: \"▸\";\n",
|
| 1384 |
" float: left;\n",
|
|
|
|
| 1386 |
" color: var(--sklearn-color-icon);\n",
|
| 1387 |
"}\n",
|
| 1388 |
"\n",
|
| 1389 |
+
"#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {\n",
|
| 1390 |
" color: var(--sklearn-color-text);\n",
|
| 1391 |
"}\n",
|
| 1392 |
"\n",
|
| 1393 |
"/* Toggleable content - dropdown */\n",
|
| 1394 |
"\n",
|
| 1395 |
+
"#sk-container-id-1 div.sk-toggleable__content {\n",
|
| 1396 |
" max-height: 0;\n",
|
| 1397 |
" max-width: 0;\n",
|
| 1398 |
" overflow: hidden;\n",
|
|
|
|
| 1401 |
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
| 1402 |
"}\n",
|
| 1403 |
"\n",
|
| 1404 |
+
"#sk-container-id-1 div.sk-toggleable__content.fitted {\n",
|
| 1405 |
" /* fitted */\n",
|
| 1406 |
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
| 1407 |
"}\n",
|
| 1408 |
"\n",
|
| 1409 |
+
"#sk-container-id-1 div.sk-toggleable__content pre {\n",
|
| 1410 |
" margin: 0.2em;\n",
|
| 1411 |
" border-radius: 0.25em;\n",
|
| 1412 |
" color: var(--sklearn-color-text);\n",
|
|
|
|
| 1414 |
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
| 1415 |
"}\n",
|
| 1416 |
"\n",
|
| 1417 |
+
"#sk-container-id-1 div.sk-toggleable__content.fitted pre {\n",
|
| 1418 |
" /* unfitted */\n",
|
| 1419 |
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
| 1420 |
"}\n",
|
| 1421 |
"\n",
|
| 1422 |
+
"#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
|
| 1423 |
" /* Expand drop-down */\n",
|
| 1424 |
" max-height: 200px;\n",
|
| 1425 |
" max-width: 100%;\n",
|
| 1426 |
" overflow: auto;\n",
|
| 1427 |
"}\n",
|
| 1428 |
"\n",
|
| 1429 |
+
"#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
|
| 1430 |
" content: \"▾\";\n",
|
| 1431 |
"}\n",
|
| 1432 |
"\n",
|
| 1433 |
"/* Pipeline/ColumnTransformer-specific style */\n",
|
| 1434 |
"\n",
|
| 1435 |
+
"#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
| 1436 |
" color: var(--sklearn-color-text);\n",
|
| 1437 |
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
| 1438 |
"}\n",
|
| 1439 |
"\n",
|
| 1440 |
+
"#sk-container-id-1 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
| 1441 |
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
| 1442 |
"}\n",
|
| 1443 |
"\n",
|
| 1444 |
"/* Estimator-specific style */\n",
|
| 1445 |
"\n",
|
| 1446 |
"/* Colorize estimator box */\n",
|
| 1447 |
+
"#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
| 1448 |
" /* unfitted */\n",
|
| 1449 |
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
| 1450 |
"}\n",
|
| 1451 |
"\n",
|
| 1452 |
+
"#sk-container-id-1 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
| 1453 |
" /* fitted */\n",
|
| 1454 |
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
| 1455 |
"}\n",
|
| 1456 |
"\n",
|
| 1457 |
+
"#sk-container-id-1 div.sk-label label.sk-toggleable__label,\n",
|
| 1458 |
+
"#sk-container-id-1 div.sk-label label {\n",
|
| 1459 |
" /* The background is the default theme color */\n",
|
| 1460 |
" color: var(--sklearn-color-text-on-default-background);\n",
|
| 1461 |
"}\n",
|
| 1462 |
"\n",
|
| 1463 |
"/* On hover, darken the color of the background */\n",
|
| 1464 |
+
"#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {\n",
|
| 1465 |
" color: var(--sklearn-color-text);\n",
|
| 1466 |
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
| 1467 |
"}\n",
|
| 1468 |
"\n",
|
| 1469 |
"/* Label box, darken color on hover, fitted */\n",
|
| 1470 |
+
"#sk-container-id-1 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
|
| 1471 |
" color: var(--sklearn-color-text);\n",
|
| 1472 |
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
| 1473 |
"}\n",
|
| 1474 |
"\n",
|
| 1475 |
"/* Estimator label */\n",
|
| 1476 |
"\n",
|
| 1477 |
+
"#sk-container-id-1 div.sk-label label {\n",
|
| 1478 |
" font-family: monospace;\n",
|
| 1479 |
" font-weight: bold;\n",
|
| 1480 |
" display: inline-block;\n",
|
| 1481 |
" line-height: 1.2em;\n",
|
| 1482 |
"}\n",
|
| 1483 |
"\n",
|
| 1484 |
+
"#sk-container-id-1 div.sk-label-container {\n",
|
| 1485 |
" text-align: center;\n",
|
| 1486 |
"}\n",
|
| 1487 |
"\n",
|
| 1488 |
"/* Estimator-specific */\n",
|
| 1489 |
+
"#sk-container-id-1 div.sk-estimator {\n",
|
| 1490 |
" font-family: monospace;\n",
|
| 1491 |
" border: 1px dotted var(--sklearn-color-border-box);\n",
|
| 1492 |
" border-radius: 0.25em;\n",
|
|
|
|
| 1496 |
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
| 1497 |
"}\n",
|
| 1498 |
"\n",
|
| 1499 |
+
"#sk-container-id-1 div.sk-estimator.fitted {\n",
|
| 1500 |
" /* fitted */\n",
|
| 1501 |
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
| 1502 |
"}\n",
|
| 1503 |
"\n",
|
| 1504 |
"/* on hover */\n",
|
| 1505 |
+
"#sk-container-id-1 div.sk-estimator:hover {\n",
|
| 1506 |
" /* unfitted */\n",
|
| 1507 |
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
| 1508 |
"}\n",
|
| 1509 |
"\n",
|
| 1510 |
+
"#sk-container-id-1 div.sk-estimator.fitted:hover {\n",
|
| 1511 |
" /* fitted */\n",
|
| 1512 |
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
| 1513 |
"}\n",
|
|
|
|
| 1594 |
"\n",
|
| 1595 |
"/* \"?\"-specific style due to the `<a>` HTML tag */\n",
|
| 1596 |
"\n",
|
| 1597 |
+
"#sk-container-id-1 a.estimator_doc_link {\n",
|
| 1598 |
" float: right;\n",
|
| 1599 |
" font-size: 1rem;\n",
|
| 1600 |
" line-height: 1em;\n",
|
|
|
|
| 1609 |
" border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
|
| 1610 |
"}\n",
|
| 1611 |
"\n",
|
| 1612 |
+
"#sk-container-id-1 a.estimator_doc_link.fitted {\n",
|
| 1613 |
" /* fitted */\n",
|
| 1614 |
" border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
|
| 1615 |
" color: var(--sklearn-color-fitted-level-1);\n",
|
| 1616 |
"}\n",
|
| 1617 |
"\n",
|
| 1618 |
"/* On hover */\n",
|
| 1619 |
+
"#sk-container-id-1 a.estimator_doc_link:hover {\n",
|
| 1620 |
" /* unfitted */\n",
|
| 1621 |
" background-color: var(--sklearn-color-unfitted-level-3);\n",
|
| 1622 |
" color: var(--sklearn-color-background);\n",
|
| 1623 |
" text-decoration: none;\n",
|
| 1624 |
"}\n",
|
| 1625 |
"\n",
|
| 1626 |
+
"#sk-container-id-1 a.estimator_doc_link.fitted:hover {\n",
|
| 1627 |
" /* fitted */\n",
|
| 1628 |
" background-color: var(--sklearn-color-fitted-level-3);\n",
|
| 1629 |
"}\n",
|
| 1630 |
+
"</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>GaussianNB()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\"> GaussianNB<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.5/modules/generated/sklearn.naive_bayes.GaussianNB.html\">?<span>Documentation for GaussianNB</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></label><div class=\"sk-toggleable__content fitted\"><pre>GaussianNB()</pre></div> </div></div></div></div>"
|
| 1631 |
],
|
| 1632 |
"text/plain": [
|
| 1633 |
"GaussianNB()"
|
| 1634 |
]
|
| 1635 |
},
|
| 1636 |
+
"execution_count": 19,
|
| 1637 |
"metadata": {},
|
| 1638 |
"output_type": "execute_result"
|
| 1639 |
}
|
| 1640 |
],
|
| 1641 |
"source": [
|
| 1642 |
+
"gaussianNB_model = GaussianNB()\n",
|
| 1643 |
+
"gaussianNB_model.fit(X_train, y_train)"
|
| 1644 |
]
|
| 1645 |
},
|
| 1646 |
{
|
| 1647 |
"cell_type": "code",
|
| 1648 |
+
"execution_count": 20,
|
| 1649 |
"metadata": {},
|
| 1650 |
"outputs": [],
|
| 1651 |
"source": [
|
| 1652 |
+
"y_pred = gaussianNB_model.predict(X_test)"
|
| 1653 |
]
|
| 1654 |
},
|
| 1655 |
{
|
|
|
|
| 1662 |
},
|
| 1663 |
{
|
| 1664 |
"cell_type": "code",
|
| 1665 |
+
"execution_count": 21,
|
| 1666 |
"metadata": {},
|
| 1667 |
"outputs": [
|
| 1668 |
{
|
|
|
|
| 1680 |
},
|
| 1681 |
{
|
| 1682 |
"cell_type": "code",
|
| 1683 |
+
"execution_count": 22,
|
| 1684 |
"metadata": {},
|
| 1685 |
"outputs": [
|
| 1686 |
{
|
|
|
|
| 1729 |
"\n"
|
| 1730 |
]
|
| 1731 |
},
|
| 1732 |
+
{
|
| 1733 |
+
"cell_type": "code",
|
| 1734 |
+
"execution_count": 23,
|
| 1735 |
+
"metadata": {},
|
| 1736 |
+
"outputs": [
|
| 1737 |
+
{
|
| 1738 |
+
"name": "stdout",
|
| 1739 |
+
"output_type": "stream",
|
| 1740 |
+
"text": [
|
| 1741 |
+
"Model saved\n"
|
| 1742 |
+
]
|
| 1743 |
+
}
|
| 1744 |
+
],
|
| 1745 |
+
"source": [
|
| 1746 |
+
"joblib.dump(gaussianNB_model, 'GNB_bank_churn_model.pkl')\n",
|
| 1747 |
+
"print('Model saved')"
|
| 1748 |
+
]
|
| 1749 |
+
},
|
| 1750 |
{
|
| 1751 |
"cell_type": "markdown",
|
| 1752 |
"metadata": {},
|
|
|
|
| 1760 |
},
|
| 1761 |
{
|
| 1762 |
"cell_type": "code",
|
| 1763 |
+
"execution_count": 24,
|
| 1764 |
"metadata": {},
|
| 1765 |
"outputs": [],
|
| 1766 |
"source": [
|
|
|
|
| 1769 |
},
|
| 1770 |
{
|
| 1771 |
"cell_type": "code",
|
| 1772 |
+
"execution_count": 25,
|
| 1773 |
"metadata": {},
|
| 1774 |
"outputs": [
|
| 1775 |
{
|
| 1776 |
"data": {
|
| 1777 |
"text/html": [
|
| 1778 |
+
"<style>#sk-container-id-2 {\n",
|
| 1779 |
" /* Definition of color scheme common for light and dark mode */\n",
|
| 1780 |
" --sklearn-color-text: black;\n",
|
| 1781 |
" --sklearn-color-line: gray;\n",
|
|
|
|
| 1805 |
" }\n",
|
| 1806 |
"}\n",
|
| 1807 |
"\n",
|
| 1808 |
+
"#sk-container-id-2 {\n",
|
| 1809 |
" color: var(--sklearn-color-text);\n",
|
| 1810 |
"}\n",
|
| 1811 |
"\n",
|
| 1812 |
+
"#sk-container-id-2 pre {\n",
|
| 1813 |
" padding: 0;\n",
|
| 1814 |
"}\n",
|
| 1815 |
"\n",
|
| 1816 |
+
"#sk-container-id-2 input.sk-hidden--visually {\n",
|
| 1817 |
" border: 0;\n",
|
| 1818 |
" clip: rect(1px 1px 1px 1px);\n",
|
| 1819 |
" clip: rect(1px, 1px, 1px, 1px);\n",
|
|
|
|
| 1825 |
" width: 1px;\n",
|
| 1826 |
"}\n",
|
| 1827 |
"\n",
|
| 1828 |
+
"#sk-container-id-2 div.sk-dashed-wrapped {\n",
|
| 1829 |
" border: 1px dashed var(--sklearn-color-line);\n",
|
| 1830 |
" margin: 0 0.4em 0.5em 0.4em;\n",
|
| 1831 |
" box-sizing: border-box;\n",
|
|
|
|
| 1833 |
" background-color: var(--sklearn-color-background);\n",
|
| 1834 |
"}\n",
|
| 1835 |
"\n",
|
| 1836 |
+
"#sk-container-id-2 div.sk-container {\n",
|
| 1837 |
" /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
|
| 1838 |
" but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
|
| 1839 |
" so we also need the `!important` here to be able to override the\n",
|
|
|
|
| 1843 |
" position: relative;\n",
|
| 1844 |
"}\n",
|
| 1845 |
"\n",
|
| 1846 |
+
"#sk-container-id-2 div.sk-text-repr-fallback {\n",
|
| 1847 |
" display: none;\n",
|
| 1848 |
"}\n",
|
| 1849 |
"\n",
|
|
|
|
| 1859 |
"\n",
|
| 1860 |
"/* Parallel-specific style estimator block */\n",
|
| 1861 |
"\n",
|
| 1862 |
+
"#sk-container-id-2 div.sk-parallel-item::after {\n",
|
| 1863 |
" content: \"\";\n",
|
| 1864 |
" width: 100%;\n",
|
| 1865 |
" border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
|
| 1866 |
" flex-grow: 1;\n",
|
| 1867 |
"}\n",
|
| 1868 |
"\n",
|
| 1869 |
+
"#sk-container-id-2 div.sk-parallel {\n",
|
| 1870 |
" display: flex;\n",
|
| 1871 |
" align-items: stretch;\n",
|
| 1872 |
" justify-content: center;\n",
|
|
|
|
| 1874 |
" position: relative;\n",
|
| 1875 |
"}\n",
|
| 1876 |
"\n",
|
| 1877 |
+
"#sk-container-id-2 div.sk-parallel-item {\n",
|
| 1878 |
" display: flex;\n",
|
| 1879 |
" flex-direction: column;\n",
|
| 1880 |
"}\n",
|
| 1881 |
"\n",
|
| 1882 |
+
"#sk-container-id-2 div.sk-parallel-item:first-child::after {\n",
|
| 1883 |
" align-self: flex-end;\n",
|
| 1884 |
" width: 50%;\n",
|
| 1885 |
"}\n",
|
| 1886 |
"\n",
|
| 1887 |
+
"#sk-container-id-2 div.sk-parallel-item:last-child::after {\n",
|
| 1888 |
" align-self: flex-start;\n",
|
| 1889 |
" width: 50%;\n",
|
| 1890 |
"}\n",
|
| 1891 |
"\n",
|
| 1892 |
+
"#sk-container-id-2 div.sk-parallel-item:only-child::after {\n",
|
| 1893 |
" width: 0;\n",
|
| 1894 |
"}\n",
|
| 1895 |
"\n",
|
| 1896 |
"/* Serial-specific style estimator block */\n",
|
| 1897 |
"\n",
|
| 1898 |
+
"#sk-container-id-2 div.sk-serial {\n",
|
| 1899 |
" display: flex;\n",
|
| 1900 |
" flex-direction: column;\n",
|
| 1901 |
" align-items: center;\n",
|
|
|
|
| 1913 |
"\n",
|
| 1914 |
"/* Pipeline and ColumnTransformer style (default) */\n",
|
| 1915 |
"\n",
|
| 1916 |
+
"#sk-container-id-2 div.sk-toggleable {\n",
|
| 1917 |
" /* Default theme specific background. It is overwritten whether we have a\n",
|
| 1918 |
" specific estimator or a Pipeline/ColumnTransformer */\n",
|
| 1919 |
" background-color: var(--sklearn-color-background);\n",
|
| 1920 |
"}\n",
|
| 1921 |
"\n",
|
| 1922 |
"/* Toggleable label */\n",
|
| 1923 |
+
"#sk-container-id-2 label.sk-toggleable__label {\n",
|
| 1924 |
" cursor: pointer;\n",
|
| 1925 |
" display: block;\n",
|
| 1926 |
" width: 100%;\n",
|
|
|
|
| 1930 |
" text-align: center;\n",
|
| 1931 |
"}\n",
|
| 1932 |
"\n",
|
| 1933 |
+
"#sk-container-id-2 label.sk-toggleable__label-arrow:before {\n",
|
| 1934 |
" /* Arrow on the left of the label */\n",
|
| 1935 |
" content: \"▸\";\n",
|
| 1936 |
" float: left;\n",
|
|
|
|
| 1938 |
" color: var(--sklearn-color-icon);\n",
|
| 1939 |
"}\n",
|
| 1940 |
"\n",
|
| 1941 |
+
"#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {\n",
|
| 1942 |
" color: var(--sklearn-color-text);\n",
|
| 1943 |
"}\n",
|
| 1944 |
"\n",
|
| 1945 |
"/* Toggleable content - dropdown */\n",
|
| 1946 |
"\n",
|
| 1947 |
+
"#sk-container-id-2 div.sk-toggleable__content {\n",
|
| 1948 |
" max-height: 0;\n",
|
| 1949 |
" max-width: 0;\n",
|
| 1950 |
" overflow: hidden;\n",
|
|
|
|
| 1953 |
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
| 1954 |
"}\n",
|
| 1955 |
"\n",
|
| 1956 |
+
"#sk-container-id-2 div.sk-toggleable__content.fitted {\n",
|
| 1957 |
" /* fitted */\n",
|
| 1958 |
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
| 1959 |
"}\n",
|
| 1960 |
"\n",
|
| 1961 |
+
"#sk-container-id-2 div.sk-toggleable__content pre {\n",
|
| 1962 |
" margin: 0.2em;\n",
|
| 1963 |
" border-radius: 0.25em;\n",
|
| 1964 |
" color: var(--sklearn-color-text);\n",
|
|
|
|
| 1966 |
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
| 1967 |
"}\n",
|
| 1968 |
"\n",
|
| 1969 |
+
"#sk-container-id-2 div.sk-toggleable__content.fitted pre {\n",
|
| 1970 |
" /* unfitted */\n",
|
| 1971 |
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
| 1972 |
"}\n",
|
| 1973 |
"\n",
|
| 1974 |
+
"#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
|
| 1975 |
" /* Expand drop-down */\n",
|
| 1976 |
" max-height: 200px;\n",
|
| 1977 |
" max-width: 100%;\n",
|
| 1978 |
" overflow: auto;\n",
|
| 1979 |
"}\n",
|
| 1980 |
"\n",
|
| 1981 |
+
"#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
|
| 1982 |
" content: \"▾\";\n",
|
| 1983 |
"}\n",
|
| 1984 |
"\n",
|
| 1985 |
"/* Pipeline/ColumnTransformer-specific style */\n",
|
| 1986 |
"\n",
|
| 1987 |
+
"#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
| 1988 |
" color: var(--sklearn-color-text);\n",
|
| 1989 |
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
| 1990 |
"}\n",
|
| 1991 |
"\n",
|
| 1992 |
+
"#sk-container-id-2 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
| 1993 |
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
| 1994 |
"}\n",
|
| 1995 |
"\n",
|
| 1996 |
"/* Estimator-specific style */\n",
|
| 1997 |
"\n",
|
| 1998 |
"/* Colorize estimator box */\n",
|
| 1999 |
+
"#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
| 2000 |
" /* unfitted */\n",
|
| 2001 |
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
| 2002 |
"}\n",
|
| 2003 |
"\n",
|
| 2004 |
+
"#sk-container-id-2 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
| 2005 |
" /* fitted */\n",
|
| 2006 |
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
| 2007 |
"}\n",
|
| 2008 |
"\n",
|
| 2009 |
+
"#sk-container-id-2 div.sk-label label.sk-toggleable__label,\n",
|
| 2010 |
+
"#sk-container-id-2 div.sk-label label {\n",
|
| 2011 |
" /* The background is the default theme color */\n",
|
| 2012 |
" color: var(--sklearn-color-text-on-default-background);\n",
|
| 2013 |
"}\n",
|
| 2014 |
"\n",
|
| 2015 |
"/* On hover, darken the color of the background */\n",
|
| 2016 |
+
"#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {\n",
|
| 2017 |
" color: var(--sklearn-color-text);\n",
|
| 2018 |
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
| 2019 |
"}\n",
|
| 2020 |
"\n",
|
| 2021 |
"/* Label box, darken color on hover, fitted */\n",
|
| 2022 |
+
"#sk-container-id-2 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
|
| 2023 |
" color: var(--sklearn-color-text);\n",
|
| 2024 |
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
| 2025 |
"}\n",
|
| 2026 |
"\n",
|
| 2027 |
"/* Estimator label */\n",
|
| 2028 |
"\n",
|
| 2029 |
+
"#sk-container-id-2 div.sk-label label {\n",
|
| 2030 |
" font-family: monospace;\n",
|
| 2031 |
" font-weight: bold;\n",
|
| 2032 |
" display: inline-block;\n",
|
| 2033 |
" line-height: 1.2em;\n",
|
| 2034 |
"}\n",
|
| 2035 |
"\n",
|
| 2036 |
+
"#sk-container-id-2 div.sk-label-container {\n",
|
| 2037 |
" text-align: center;\n",
|
| 2038 |
"}\n",
|
| 2039 |
"\n",
|
| 2040 |
"/* Estimator-specific */\n",
|
| 2041 |
+
"#sk-container-id-2 div.sk-estimator {\n",
|
| 2042 |
" font-family: monospace;\n",
|
| 2043 |
" border: 1px dotted var(--sklearn-color-border-box);\n",
|
| 2044 |
" border-radius: 0.25em;\n",
|
|
|
|
| 2048 |
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
| 2049 |
"}\n",
|
| 2050 |
"\n",
|
| 2051 |
+
"#sk-container-id-2 div.sk-estimator.fitted {\n",
|
| 2052 |
" /* fitted */\n",
|
| 2053 |
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
| 2054 |
"}\n",
|
| 2055 |
"\n",
|
| 2056 |
"/* on hover */\n",
|
| 2057 |
+
"#sk-container-id-2 div.sk-estimator:hover {\n",
|
| 2058 |
" /* unfitted */\n",
|
| 2059 |
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
| 2060 |
"}\n",
|
| 2061 |
"\n",
|
| 2062 |
+
"#sk-container-id-2 div.sk-estimator.fitted:hover {\n",
|
| 2063 |
" /* fitted */\n",
|
| 2064 |
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
| 2065 |
"}\n",
|
|
|
|
| 2146 |
"\n",
|
| 2147 |
"/* \"?\"-specific style due to the `<a>` HTML tag */\n",
|
| 2148 |
"\n",
|
| 2149 |
+
"#sk-container-id-2 a.estimator_doc_link {\n",
|
| 2150 |
" float: right;\n",
|
| 2151 |
" font-size: 1rem;\n",
|
| 2152 |
" line-height: 1em;\n",
|
|
|
|
| 2161 |
" border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
|
| 2162 |
"}\n",
|
| 2163 |
"\n",
|
| 2164 |
+
"#sk-container-id-2 a.estimator_doc_link.fitted {\n",
|
| 2165 |
" /* fitted */\n",
|
| 2166 |
" border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
|
| 2167 |
" color: var(--sklearn-color-fitted-level-1);\n",
|
| 2168 |
"}\n",
|
| 2169 |
"\n",
|
| 2170 |
"/* On hover */\n",
|
| 2171 |
+
"#sk-container-id-2 a.estimator_doc_link:hover {\n",
|
| 2172 |
" /* unfitted */\n",
|
| 2173 |
" background-color: var(--sklearn-color-unfitted-level-3);\n",
|
| 2174 |
" color: var(--sklearn-color-background);\n",
|
| 2175 |
" text-decoration: none;\n",
|
| 2176 |
"}\n",
|
| 2177 |
"\n",
|
| 2178 |
+
"#sk-container-id-2 a.estimator_doc_link.fitted:hover {\n",
|
| 2179 |
" /* fitted */\n",
|
| 2180 |
" background-color: var(--sklearn-color-fitted-level-3);\n",
|
| 2181 |
"}\n",
|
| 2182 |
+
"</style><div id=\"sk-container-id-2\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LogisticRegression(max_iter=5250)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" checked><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\"> LogisticRegression<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.5/modules/generated/sklearn.linear_model.LogisticRegression.html\">?<span>Documentation for LogisticRegression</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></label><div class=\"sk-toggleable__content fitted\"><pre>LogisticRegression(max_iter=5250)</pre></div> </div></div></div></div>"
|
| 2183 |
],
|
| 2184 |
"text/plain": [
|
| 2185 |
"LogisticRegression(max_iter=5250)"
|
| 2186 |
]
|
| 2187 |
},
|
| 2188 |
+
"execution_count": 25,
|
| 2189 |
"metadata": {},
|
| 2190 |
"output_type": "execute_result"
|
| 2191 |
}
|
| 2192 |
],
|
| 2193 |
"source": [
|
| 2194 |
"# Initialize and train the model\n",
|
| 2195 |
+
"LogisticRegression_model = LogisticRegression(max_iter=5250) # You can adjust max_iter if needed\n",
|
| 2196 |
+
"LogisticRegression_model.fit(X_train, y_train)"
|
| 2197 |
]
|
| 2198 |
},
|
| 2199 |
{
|
| 2200 |
"cell_type": "code",
|
| 2201 |
+
"execution_count": 26,
|
| 2202 |
"metadata": {},
|
| 2203 |
"outputs": [],
|
| 2204 |
"source": [
|
| 2205 |
"# Make predictions\n",
|
| 2206 |
+
"y_pred = LogisticRegression_model.predict(X_test)"
|
| 2207 |
]
|
| 2208 |
},
|
| 2209 |
{
|
|
|
|
| 2217 |
},
|
| 2218 |
{
|
| 2219 |
"cell_type": "code",
|
| 2220 |
+
"execution_count": 27,
|
| 2221 |
"metadata": {},
|
| 2222 |
"outputs": [
|
| 2223 |
{
|
|
|
|
| 2235 |
},
|
| 2236 |
{
|
| 2237 |
"cell_type": "code",
|
| 2238 |
+
"execution_count": 28,
|
| 2239 |
"metadata": {},
|
| 2240 |
"outputs": [
|
| 2241 |
{
|
|
|
|
| 2285 |
"\n"
|
| 2286 |
]
|
| 2287 |
},
|
| 2288 |
+
{
|
| 2289 |
+
"cell_type": "code",
|
| 2290 |
+
"execution_count": null,
|
| 2291 |
+
"metadata": {},
|
| 2292 |
+
"outputs": [],
|
| 2293 |
+
"source": [
|
| 2294 |
+
"df['Contacts_Count_12_mon'].unique()"
|
| 2295 |
+
]
|
| 2296 |
+
},
|
| 2297 |
{
|
| 2298 |
"cell_type": "markdown",
|
| 2299 |
"metadata": {},
|
|
|
|
| 2305 |
},
|
| 2306 |
{
|
| 2307 |
"cell_type": "code",
|
| 2308 |
+
"execution_count": 29,
|
| 2309 |
"metadata": {},
|
| 2310 |
"outputs": [
|
| 2311 |
{
|
|
|
|
| 2317 |
}
|
| 2318 |
],
|
| 2319 |
"source": [
|
| 2320 |
+
"joblib.dump(LogisticRegression_model, 'LR_bank_churn_model.pkl')\n",
|
| 2321 |
"print('Model saved')"
|
| 2322 |
]
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2323 |
}
|
| 2324 |
],
|
| 2325 |
"metadata": {
|