From 3b18e979e6f576ef978291455b2483c3ddd6afba Mon Sep 17 00:00:00 2001
From: Jonathan Nahmiach <98768155+Jona-Jona-Jona@users.noreply.github.com>
Date: Mon, 25 May 2026 13:53:51 -0400
Subject: [PATCH 1/5] Initial submission of assignment 2
---
02_activities/assignments/assignment_2.ipynb | 657 +++++++++++++++++--
1 file changed, 618 insertions(+), 39 deletions(-)
diff --git a/02_activities/assignments/assignment_2.ipynb b/02_activities/assignments/assignment_2.ipynb
index c4b264d72..301682da2 100644
--- a/02_activities/assignments/assignment_2.ipynb
+++ b/02_activities/assignments/assignment_2.ipynb
@@ -34,7 +34,7 @@
},
{
"cell_type": "code",
- "execution_count": 63,
+ "execution_count": 55,
"id": "4a3485d6-ba58-4660-a983-5680821c5719",
"metadata": {},
"outputs": [],
@@ -50,10 +50,128 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 56,
"id": "a431d282-f9ca-4d5d-8912-71ffc9d8ea19",
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "
\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " mpg \n",
+ " cylinders \n",
+ " displacement \n",
+ " horsepower \n",
+ " weight \n",
+ " acceleration \n",
+ " model_year \n",
+ " origin \n",
+ " name \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " 0 \n",
+ " 18.0 \n",
+ " 8 \n",
+ " 307.0 \n",
+ " 130.0 \n",
+ " 3504 \n",
+ " 12.0 \n",
+ " 70 \n",
+ " usa \n",
+ " chevrolet chevelle malibu \n",
+ " \n",
+ " \n",
+ " 1 \n",
+ " 15.0 \n",
+ " 8 \n",
+ " 350.0 \n",
+ " 165.0 \n",
+ " 3693 \n",
+ " 11.5 \n",
+ " 70 \n",
+ " usa \n",
+ " buick skylark 320 \n",
+ " \n",
+ " \n",
+ " 2 \n",
+ " 18.0 \n",
+ " 8 \n",
+ " 318.0 \n",
+ " 150.0 \n",
+ " 3436 \n",
+ " 11.0 \n",
+ " 70 \n",
+ " usa \n",
+ " plymouth satellite \n",
+ " \n",
+ " \n",
+ " 3 \n",
+ " 16.0 \n",
+ " 8 \n",
+ " 304.0 \n",
+ " 150.0 \n",
+ " 3433 \n",
+ " 12.0 \n",
+ " 70 \n",
+ " usa \n",
+ " amc rebel sst \n",
+ " \n",
+ " \n",
+ " 4 \n",
+ " 17.0 \n",
+ " 8 \n",
+ " 302.0 \n",
+ " 140.0 \n",
+ " 3449 \n",
+ " 10.5 \n",
+ " 70 \n",
+ " usa \n",
+ " ford torino \n",
+ " \n",
+ " \n",
+ "
\n",
+ "
"
+ ],
+ "text/plain": [
+ " mpg cylinders displacement horsepower weight acceleration \\\n",
+ "0 18.0 8 307.0 130.0 3504 12.0 \n",
+ "1 15.0 8 350.0 165.0 3693 11.5 \n",
+ "2 18.0 8 318.0 150.0 3436 11.0 \n",
+ "3 16.0 8 304.0 150.0 3433 12.0 \n",
+ "4 17.0 8 302.0 140.0 3449 10.5 \n",
+ "\n",
+ " model_year origin name \n",
+ "0 70 usa chevrolet chevelle malibu \n",
+ "1 70 usa buick skylark 320 \n",
+ "2 70 usa plymouth satellite \n",
+ "3 70 usa amc rebel sst \n",
+ "4 70 usa ford torino "
+ ]
+ },
+ "execution_count": 56,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
"source": [
"import seaborn as sns\n",
"\n",
@@ -82,12 +200,22 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 57,
"id": "5d79f1cf",
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "There are 392 rows and 9 variables (columns)\n"
+ ]
+ }
+ ],
"source": [
- "# Your answer here..."
+ "# Use shape function to return dimensions as a tuple\n",
+ "mpg_dimensions = mpg_data.shape\n",
+ "print(f\"There are {mpg_dimensions[0]} rows and {mpg_dimensions[1]} variables (columns)\")"
]
},
{
@@ -100,12 +228,23 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 110,
"id": "ac306190",
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "MPG (miles per gallon) is the response variable of the data set. It is stored as a float (float 64), a number with decimal points.\n"
+ ]
+ }
+ ],
"source": [
- "# Your answer here..."
+ "# Get data types\n",
+ "mpg_data.dtypes\n",
+ "\n",
+ "print(\"MPG (miles per gallon) is the response variable of the data set. It is stored as a float (float 64), a number with decimal points.\")"
]
},
{
@@ -113,7 +252,7 @@
"id": "6d759089",
"metadata": {},
"source": [
- "Your explanation... \n"
+ "\n"
]
},
{
@@ -126,12 +265,134 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 111,
"id": "9f034a5d",
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " mpg \n",
+ " cylinders \n",
+ " displacement \n",
+ " horsepower \n",
+ " weight \n",
+ " acceleration \n",
+ " model_year \n",
+ " origin \n",
+ " name \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " 116 \n",
+ " 16.0 \n",
+ " 8 \n",
+ " 400.0 \n",
+ " 230.0 \n",
+ " 4278 \n",
+ " 9.5 \n",
+ " 73 \n",
+ " usa \n",
+ " pontiac grand prix \n",
+ " \n",
+ " \n",
+ " 8 \n",
+ " 14.0 \n",
+ " 8 \n",
+ " 455.0 \n",
+ " 225.0 \n",
+ " 4425 \n",
+ " 10.0 \n",
+ " 70 \n",
+ " usa \n",
+ " pontiac catalina \n",
+ " \n",
+ " \n",
+ " 95 \n",
+ " 12.0 \n",
+ " 8 \n",
+ " 455.0 \n",
+ " 225.0 \n",
+ " 4951 \n",
+ " 11.0 \n",
+ " 73 \n",
+ " usa \n",
+ " buick electra 225 custom \n",
+ " \n",
+ " \n",
+ " 13 \n",
+ " 14.0 \n",
+ " 8 \n",
+ " 455.0 \n",
+ " 225.0 \n",
+ " 3086 \n",
+ " 10.0 \n",
+ " 70 \n",
+ " usa \n",
+ " buick estate wagon (sw) \n",
+ " \n",
+ " \n",
+ " 6 \n",
+ " 14.0 \n",
+ " 8 \n",
+ " 454.0 \n",
+ " 220.0 \n",
+ " 4354 \n",
+ " 9.0 \n",
+ " 70 \n",
+ " usa \n",
+ " chevrolet impala \n",
+ " \n",
+ " \n",
+ "
\n",
+ "
"
+ ],
+ "text/plain": [
+ " mpg cylinders displacement horsepower weight acceleration \\\n",
+ "116 16.0 8 400.0 230.0 4278 9.5 \n",
+ "8 14.0 8 455.0 225.0 4425 10.0 \n",
+ "95 12.0 8 455.0 225.0 4951 11.0 \n",
+ "13 14.0 8 455.0 225.0 3086 10.0 \n",
+ "6 14.0 8 454.0 220.0 4354 9.0 \n",
+ "\n",
+ " model_year origin name \n",
+ "116 73 usa pontiac grand prix \n",
+ "8 70 usa pontiac catalina \n",
+ "95 73 usa buick electra 225 custom \n",
+ "13 70 usa buick estate wagon (sw) \n",
+ "6 70 usa chevrolet impala "
+ ]
+ },
+ "execution_count": 111,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
"source": [
- "# Your answer here... "
+ "#Sort dataframe by horsepower in descending value\n",
+ "mpg_data_sorted = mpg_data.sort_values(by=\"horsepower\", ascending=0)\n",
+ "\n",
+ "#Return top 5 rows\n",
+ "mpg_data_sorted.head()\n"
]
},
{
@@ -144,12 +405,22 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 77,
"id": "1b91233e",
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "There are 8 predictor variables\n"
+ ]
+ }
+ ],
"source": [
- "# Your answer here..."
+ "number_predictors = mpg_dimensions[1] -1\n",
+ "\n",
+ "print(f\"There are {number_predictors} predictor variables\")"
]
},
{
@@ -173,10 +444,71 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 112,
"id": "732784d8",
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
"source": [
"# Exclude the 'mpg' (target variable) and non-numeric columns from the feature names\n",
"feature_names = mpg_data.select_dtypes(include=[float, int]).columns.difference(['mpg'])\n",
@@ -225,7 +557,12 @@
"id": "f67e57ab",
"metadata": {},
"source": [
- "> Your answer here..."
+ "Acceleration vs MPG is positive (higher acceleration associated with higher mpg)\n",
+ "Cylinders vs MPG is negative (higher # of cylinders associated with lower mpg)\n",
+ "Displacement vs MPG is positive (higher displacement associated with higher mpg)\n",
+ "Horsepower vs MPG is negative (higher horsepower associated with lower mpg)\n",
+ "Model Year vs MPG is positive (higher model year associated with higher mpg)\n",
+ "Weight vs MPG is negative (higher weight associated with lower mpg)"
]
},
{
@@ -241,7 +578,7 @@
"id": "843f9eef",
"metadata": {},
"source": [
- "> Your answer here..."
+ "In linear regression, the plotted line, or line of best fit, is defined by two coefficients b0 and b1. b0 is the intercept (mpg when predictor variable is 0, \"base value\") and b1 is the slope (change to mpg per unit change of the predictor variable)"
]
},
{
@@ -257,7 +594,7 @@
"id": "2ea782fc",
"metadata": {},
"source": [
- "> Your answer here..."
+ "No. The plotted line is designed to minimize the difference between the observed data and the prediction (mimize RMSE). Deviations can indicate several things such as if a specific data point is an outlier (if one data point has an especially large deviation from the line) or that the response variable is affected by multiple variables so the relationship between the variables is not actually linear."
]
},
{
@@ -274,12 +611,219 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 113,
"id": "399225f4",
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " mpg \n",
+ " cylinders \n",
+ " displacement \n",
+ " horsepower \n",
+ " weight \n",
+ " acceleration \n",
+ " model_year \n",
+ " origin \n",
+ " name \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " 395 \n",
+ " 32.0 \n",
+ " 4 \n",
+ " 135.0 \n",
+ " 84.0 \n",
+ " 2295 \n",
+ " 11.6 \n",
+ " 82 \n",
+ " usa \n",
+ " dodge rampage \n",
+ " \n",
+ " \n",
+ " 70 \n",
+ " 13.0 \n",
+ " 8 \n",
+ " 400.0 \n",
+ " 190.0 \n",
+ " 4422 \n",
+ " 12.5 \n",
+ " 72 \n",
+ " usa \n",
+ " chrysler newport royal \n",
+ " \n",
+ " \n",
+ " 158 \n",
+ " 16.0 \n",
+ " 8 \n",
+ " 318.0 \n",
+ " 150.0 \n",
+ " 4498 \n",
+ " 14.5 \n",
+ " 75 \n",
+ " usa \n",
+ " plymouth grand fury \n",
+ " \n",
+ " \n",
+ " 37 \n",
+ " 18.0 \n",
+ " 6 \n",
+ " 232.0 \n",
+ " 100.0 \n",
+ " 3288 \n",
+ " 15.5 \n",
+ " 71 \n",
+ " usa \n",
+ " amc matador \n",
+ " \n",
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+ " 25 \n",
+ " 10.0 \n",
+ " 8 \n",
+ " 360.0 \n",
+ " 215.0 \n",
+ " 4615 \n",
+ " 14.0 \n",
+ " 70 \n",
+ " usa \n",
+ " ford f250 \n",
+ " \n",
+ " \n",
+ " ... \n",
+ " ... \n",
+ " ... \n",
+ " ... \n",
+ " ... \n",
+ " ... \n",
+ " ... \n",
+ " ... \n",
+ " ... \n",
+ " ... \n",
+ " \n",
+ " \n",
+ " 115 \n",
+ " 15.0 \n",
+ " 8 \n",
+ " 350.0 \n",
+ " 145.0 \n",
+ " 4082 \n",
+ " 13.0 \n",
+ " 73 \n",
+ " usa \n",
+ " chevrolet monte carlo s \n",
+ " \n",
+ " \n",
+ " 361 \n",
+ " 25.4 \n",
+ " 6 \n",
+ " 168.0 \n",
+ " 116.0 \n",
+ " 2900 \n",
+ " 12.6 \n",
+ " 81 \n",
+ " japan \n",
+ " toyota cressida \n",
+ " \n",
+ " \n",
+ " 397 \n",
+ " 31.0 \n",
+ " 4 \n",
+ " 119.0 \n",
+ " 82.0 \n",
+ " 2720 \n",
+ " 19.4 \n",
+ " 82 \n",
+ " usa \n",
+ " chevy s-10 \n",
+ " \n",
+ " \n",
+ " 346 \n",
+ " 32.3 \n",
+ " 4 \n",
+ " 97.0 \n",
+ " 67.0 \n",
+ " 2065 \n",
+ " 17.8 \n",
+ " 81 \n",
+ " japan \n",
+ " subaru \n",
+ " \n",
+ " \n",
+ " 261 \n",
+ " 18.1 \n",
+ " 6 \n",
+ " 258.0 \n",
+ " 120.0 \n",
+ " 3410 \n",
+ " 15.1 \n",
+ " 78 \n",
+ " usa \n",
+ " amc concord d/l \n",
+ " \n",
+ " \n",
+ "
\n",
+ "
294 rows × 9 columns
\n",
+ "
"
+ ],
+ "text/plain": [
+ " mpg cylinders displacement horsepower weight acceleration \\\n",
+ "395 32.0 4 135.0 84.0 2295 11.6 \n",
+ "70 13.0 8 400.0 190.0 4422 12.5 \n",
+ "158 16.0 8 318.0 150.0 4498 14.5 \n",
+ "37 18.0 6 232.0 100.0 3288 15.5 \n",
+ "25 10.0 8 360.0 215.0 4615 14.0 \n",
+ ".. ... ... ... ... ... ... \n",
+ "115 15.0 8 350.0 145.0 4082 13.0 \n",
+ "361 25.4 6 168.0 116.0 2900 12.6 \n",
+ "397 31.0 4 119.0 82.0 2720 19.4 \n",
+ "346 32.3 4 97.0 67.0 2065 17.8 \n",
+ "261 18.1 6 258.0 120.0 3410 15.1 \n",
+ "\n",
+ " model_year origin name \n",
+ "395 82 usa dodge rampage \n",
+ "70 72 usa chrysler newport royal \n",
+ "158 75 usa plymouth grand fury \n",
+ "37 71 usa amc matador \n",
+ "25 70 usa ford f250 \n",
+ ".. ... ... ... \n",
+ "115 73 usa chevrolet monte carlo s \n",
+ "361 81 japan toyota cressida \n",
+ "397 82 usa chevy s-10 \n",
+ "346 81 japan subaru \n",
+ "261 78 usa amc concord d/l \n",
+ "\n",
+ "[294 rows x 9 columns]"
+ ]
+ },
+ "execution_count": 113,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
"source": [
- "# Your answer here..."
+ "mpg_train, mpg_test = train_test_split(mpg_data, train_size=0.75,random_state=42)\n",
+ "\n",
+ "mpg_train"
]
},
{
@@ -292,15 +836,35 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 114,
"id": "ac1e1117",
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " predictor slope intercept\n",
+ "0 cylinders -0.611980 -12.00551\n",
+ "1 displacement 0.007957 -12.00551\n",
+ "2 horsepower -0.005012 -12.00551\n",
+ "3 weight -0.003139 -12.00551\n",
+ "4 acceleration 0.034705 -12.00551\n",
+ "5 model_year 0.733816 -12.00551\n",
+ "6 weight -0.003139 -12.00551\n"
+ ]
+ }
+ ],
"source": [
- "# Your code here ...\n",
- "\n",
- "numeric_predictors = 🤷♂️\n",
+ "# fit the linear regression model to the training data\n",
+ "lm = LinearRegression()\n",
+ "numeric_predictors = mpg_train[[\"cylinders\", \"displacement\",\"horsepower\",\"weight\", \"acceleration\", \"model_year\",\"weight\"]]\n",
+ "y = mpg_train[\"mpg\"]\n",
"\n",
+ "lm.fit(\n",
+ " numeric_predictors,\n",
+ " y\n",
+ ")\n",
"\n",
"# Create a DataFrame containing the slope (coefficients) and intercept\n",
"coefficients_df = pd.DataFrame({\n",
@@ -330,12 +894,32 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 109,
"id": "ffefa9f2",
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "3.7433423403576103"
+ ]
+ },
+ "execution_count": 109,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
"source": [
- "# Your code here ..."
+ "# Add predicted values to test data df\n",
+ "mpg_test[\"predicted\"] = lm.predict(mpg_test[[\"cylinders\", \"displacement\",\"horsepower\",\"weight\", \"acceleration\", \"model_year\", \"weight\"]])\n",
+ "\n",
+ "#Calculate RMSPE\n",
+ "lm_mult_test_RMSPE = mean_squared_error(\n",
+ " y_true=mpg_test[\"mpg\"],\n",
+ " y_pred=mpg_test[\"predicted\"]\n",
+ ")**(1/2)\n",
+ "\n",
+ "lm_mult_test_RMSPE"
]
},
{
@@ -386,7 +970,7 @@
],
"metadata": {
"kernelspec": {
- "display_name": "Python 3 (ipykernel)",
+ "display_name": "lcr-env (3.11.15)",
"language": "python",
"name": "python3"
},
@@ -400,12 +984,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.12.3"
- },
- "vscode": {
- "interpreter": {
- "hash": "497a84dc8fec8cf8d24e7e87b6d954c9a18a327edc66feb9b9ea7e9e72cc5c7e"
- }
+ "version": "3.11.15"
}
},
"nbformat": 4,
From fdb9e11cb002b98cad75c89a5bac5862c561cca5 Mon Sep 17 00:00:00 2001
From: Jonathan Nahmiach <98768155+Jona-Jona-Jona@users.noreply.github.com>
Date: Sat, 30 May 2026 16:11:48 -0400
Subject: [PATCH 2/5] Corrections to assignment 2
---
02_activities/assignments/assignment_2.ipynb | 329 +++++++++----------
1 file changed, 163 insertions(+), 166 deletions(-)
diff --git a/02_activities/assignments/assignment_2.ipynb b/02_activities/assignments/assignment_2.ipynb
index 301682da2..ea65ece56 100644
--- a/02_activities/assignments/assignment_2.ipynb
+++ b/02_activities/assignments/assignment_2.ipynb
@@ -34,7 +34,7 @@
},
{
"cell_type": "code",
- "execution_count": 55,
+ "execution_count": 2,
"id": "4a3485d6-ba58-4660-a983-5680821c5719",
"metadata": {},
"outputs": [],
@@ -50,7 +50,7 @@
},
{
"cell_type": "code",
- "execution_count": 56,
+ "execution_count": 3,
"id": "a431d282-f9ca-4d5d-8912-71ffc9d8ea19",
"metadata": {},
"outputs": [
@@ -167,7 +167,7 @@
"4 70 usa ford torino "
]
},
- "execution_count": 56,
+ "execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
@@ -200,7 +200,7 @@
},
{
"cell_type": "code",
- "execution_count": 57,
+ "execution_count": 4,
"id": "5d79f1cf",
"metadata": {},
"outputs": [
@@ -228,7 +228,7 @@
},
{
"cell_type": "code",
- "execution_count": 110,
+ "execution_count": 5,
"id": "ac306190",
"metadata": {},
"outputs": [
@@ -265,7 +265,7 @@
},
{
"cell_type": "code",
- "execution_count": 111,
+ "execution_count": 6,
"id": "9f034a5d",
"metadata": {},
"outputs": [
@@ -315,18 +315,6 @@
" pontiac grand prix \n",
" \n",
" \n",
- " 8 \n",
- " 14.0 \n",
- " 8 \n",
- " 455.0 \n",
- " 225.0 \n",
- " 4425 \n",
- " 10.0 \n",
- " 70 \n",
- " usa \n",
- " pontiac catalina \n",
- " \n",
- " \n",
" 95 \n",
" 12.0 \n",
" 8 \n",
@@ -351,6 +339,18 @@
" buick estate wagon (sw) \n",
" \n",
" \n",
+ " 8 \n",
+ " 14.0 \n",
+ " 8 \n",
+ " 455.0 \n",
+ " 225.0 \n",
+ " 4425 \n",
+ " 10.0 \n",
+ " 70 \n",
+ " usa \n",
+ " pontiac catalina \n",
+ " \n",
+ " \n",
" 6 \n",
" 14.0 \n",
" 8 \n",
@@ -369,20 +369,20 @@
"text/plain": [
" mpg cylinders displacement horsepower weight acceleration \\\n",
"116 16.0 8 400.0 230.0 4278 9.5 \n",
- "8 14.0 8 455.0 225.0 4425 10.0 \n",
"95 12.0 8 455.0 225.0 4951 11.0 \n",
"13 14.0 8 455.0 225.0 3086 10.0 \n",
+ "8 14.0 8 455.0 225.0 4425 10.0 \n",
"6 14.0 8 454.0 220.0 4354 9.0 \n",
"\n",
" model_year origin name \n",
"116 73 usa pontiac grand prix \n",
- "8 70 usa pontiac catalina \n",
"95 73 usa buick electra 225 custom \n",
"13 70 usa buick estate wagon (sw) \n",
+ "8 70 usa pontiac catalina \n",
"6 70 usa chevrolet impala "
]
},
- "execution_count": 111,
+ "execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
@@ -405,7 +405,7 @@
},
{
"cell_type": "code",
- "execution_count": 77,
+ "execution_count": 7,
"id": "1b91233e",
"metadata": {},
"outputs": [
@@ -444,13 +444,13 @@
},
{
"cell_type": "code",
- "execution_count": 112,
+ "execution_count": 8,
"id": "732784d8",
"metadata": {},
"outputs": [
{
"data": {
- "image/png": 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",
+ "image/png": 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",
"text/plain": [
""
]
@@ -460,7 +460,7 @@
},
{
"data": {
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",
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",
"text/plain": [
""
]
@@ -470,7 +470,7 @@
},
{
"data": {
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",
+ "image/png": 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",
"text/plain": [
""
]
@@ -480,7 +480,7 @@
},
{
"data": {
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",
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",
"text/plain": [
""
]
@@ -490,7 +490,7 @@
},
{
"data": {
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",
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",
"text/plain": [
""
]
@@ -500,7 +500,7 @@
},
{
"data": {
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",
+ "image/png": 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",
"text/plain": [
""
]
@@ -559,7 +559,7 @@
"source": [
"Acceleration vs MPG is positive (higher acceleration associated with higher mpg)\n",
"Cylinders vs MPG is negative (higher # of cylinders associated with lower mpg)\n",
- "Displacement vs MPG is positive (higher displacement associated with higher mpg)\n",
+ "Displacement vs MPG is negative (higher displacement associated with lower mpg)\n",
"Horsepower vs MPG is negative (higher horsepower associated with lower mpg)\n",
"Model Year vs MPG is positive (higher model year associated with higher mpg)\n",
"Weight vs MPG is negative (higher weight associated with lower mpg)"
@@ -611,7 +611,7 @@
},
{
"cell_type": "code",
- "execution_count": 113,
+ "execution_count": 25,
"id": "399225f4",
"metadata": {},
"outputs": [
@@ -636,7 +636,6 @@
" \n",
" \n",
" \n",
- " mpg \n",
" cylinders \n",
" displacement \n",
" horsepower \n",
@@ -649,64 +648,59 @@
" \n",
" \n",
" \n",
- " 395 \n",
- " 32.0 \n",
+ " 267 \n",
" 4 \n",
- " 135.0 \n",
- " 84.0 \n",
- " 2295 \n",
- " 11.6 \n",
- " 82 \n",
- " usa \n",
- " dodge rampage \n",
+ " 134.0 \n",
+ " 95.0 \n",
+ " 2560 \n",
+ " 14.2 \n",
+ " 78 \n",
+ " japan \n",
+ " toyota corona \n",
" \n",
" \n",
- " 70 \n",
- " 13.0 \n",
- " 8 \n",
- " 400.0 \n",
- " 190.0 \n",
- " 4422 \n",
- " 12.5 \n",
- " 72 \n",
+ " 16 \n",
+ " 6 \n",
+ " 199.0 \n",
+ " 97.0 \n",
+ " 2774 \n",
+ " 15.5 \n",
+ " 70 \n",
" usa \n",
- " chrysler newport royal \n",
+ " amc hornet \n",
" \n",
" \n",
- " 158 \n",
- " 16.0 \n",
+ " 67 \n",
" 8 \n",
- " 318.0 \n",
- " 150.0 \n",
- " 4498 \n",
- " 14.5 \n",
- " 75 \n",
+ " 429.0 \n",
+ " 208.0 \n",
+ " 4633 \n",
+ " 11.0 \n",
+ " 72 \n",
" usa \n",
- " plymouth grand fury \n",
+ " mercury marquis \n",
" \n",
" \n",
- " 37 \n",
- " 18.0 \n",
+ " 160 \n",
" 6 \n",
- " 232.0 \n",
- " 100.0 \n",
- " 3288 \n",
- " 15.5 \n",
- " 71 \n",
+ " 231.0 \n",
+ " 110.0 \n",
+ " 3907 \n",
+ " 21.0 \n",
+ " 75 \n",
" usa \n",
- " amc matador \n",
+ " buick century \n",
" \n",
" \n",
- " 25 \n",
- " 10.0 \n",
+ " 7 \n",
" 8 \n",
- " 360.0 \n",
+ " 440.0 \n",
" 215.0 \n",
- " 4615 \n",
- " 14.0 \n",
+ " 4312 \n",
+ " 8.5 \n",
" 70 \n",
" usa \n",
- " ford f250 \n",
+ " plymouth fury iii \n",
" \n",
" \n",
" ... \n",
@@ -718,112 +712,106 @@
" ... \n",
" ... \n",
" ... \n",
- " ... \n",
" \n",
" \n",
- " 115 \n",
- " 15.0 \n",
+ " 72 \n",
" 8 \n",
- " 350.0 \n",
- " 145.0 \n",
- " 4082 \n",
- " 13.0 \n",
- " 73 \n",
+ " 304.0 \n",
+ " 150.0 \n",
+ " 3892 \n",
+ " 12.5 \n",
+ " 72 \n",
" usa \n",
- " chevrolet monte carlo s \n",
+ " amc matador (sw) \n",
" \n",
" \n",
- " 361 \n",
- " 25.4 \n",
+ " 107 \n",
" 6 \n",
- " 168.0 \n",
- " 116.0 \n",
- " 2900 \n",
- " 12.6 \n",
- " 81 \n",
- " japan \n",
- " toyota cressida \n",
+ " 232.0 \n",
+ " 100.0 \n",
+ " 2789 \n",
+ " 15.0 \n",
+ " 73 \n",
+ " usa \n",
+ " amc gremlin \n",
" \n",
" \n",
- " 397 \n",
- " 31.0 \n",
+ " 272 \n",
" 4 \n",
- " 119.0 \n",
- " 82.0 \n",
- " 2720 \n",
- " 19.4 \n",
- " 82 \n",
+ " 151.0 \n",
+ " 85.0 \n",
+ " 2855 \n",
+ " 17.6 \n",
+ " 78 \n",
" usa \n",
- " chevy s-10 \n",
+ " oldsmobile starfire sx \n",
" \n",
" \n",
- " 346 \n",
- " 32.3 \n",
+ " 352 \n",
" 4 \n",
- " 97.0 \n",
- " 67.0 \n",
- " 2065 \n",
- " 17.8 \n",
+ " 98.0 \n",
+ " 65.0 \n",
+ " 2380 \n",
+ " 20.7 \n",
" 81 \n",
- " japan \n",
- " subaru \n",
+ " usa \n",
+ " ford escort 2h \n",
" \n",
" \n",
- " 261 \n",
- " 18.1 \n",
- " 6 \n",
- " 258.0 \n",
- " 120.0 \n",
- " 3410 \n",
- " 15.1 \n",
- " 78 \n",
+ " 103 \n",
+ " 8 \n",
+ " 400.0 \n",
+ " 150.0 \n",
+ " 4997 \n",
+ " 14.0 \n",
+ " 73 \n",
" usa \n",
- " amc concord d/l \n",
+ " chevrolet impala \n",
" \n",
" \n",
"\n",
- "294 rows × 9 columns
\n",
+ "294 rows × 8 columns
\n",
""
],
"text/plain": [
- " mpg cylinders displacement horsepower weight acceleration \\\n",
- "395 32.0 4 135.0 84.0 2295 11.6 \n",
- "70 13.0 8 400.0 190.0 4422 12.5 \n",
- "158 16.0 8 318.0 150.0 4498 14.5 \n",
- "37 18.0 6 232.0 100.0 3288 15.5 \n",
- "25 10.0 8 360.0 215.0 4615 14.0 \n",
- ".. ... ... ... ... ... ... \n",
- "115 15.0 8 350.0 145.0 4082 13.0 \n",
- "361 25.4 6 168.0 116.0 2900 12.6 \n",
- "397 31.0 4 119.0 82.0 2720 19.4 \n",
- "346 32.3 4 97.0 67.0 2065 17.8 \n",
- "261 18.1 6 258.0 120.0 3410 15.1 \n",
+ " cylinders displacement horsepower weight acceleration model_year \\\n",
+ "267 4 134.0 95.0 2560 14.2 78 \n",
+ "16 6 199.0 97.0 2774 15.5 70 \n",
+ "67 8 429.0 208.0 4633 11.0 72 \n",
+ "160 6 231.0 110.0 3907 21.0 75 \n",
+ "7 8 440.0 215.0 4312 8.5 70 \n",
+ ".. ... ... ... ... ... ... \n",
+ "72 8 304.0 150.0 3892 12.5 72 \n",
+ "107 6 232.0 100.0 2789 15.0 73 \n",
+ "272 4 151.0 85.0 2855 17.6 78 \n",
+ "352 4 98.0 65.0 2380 20.7 81 \n",
+ "103 8 400.0 150.0 4997 14.0 73 \n",
"\n",
- " model_year origin name \n",
- "395 82 usa dodge rampage \n",
- "70 72 usa chrysler newport royal \n",
- "158 75 usa plymouth grand fury \n",
- "37 71 usa amc matador \n",
- "25 70 usa ford f250 \n",
- ".. ... ... ... \n",
- "115 73 usa chevrolet monte carlo s \n",
- "361 81 japan toyota cressida \n",
- "397 82 usa chevy s-10 \n",
- "346 81 japan subaru \n",
- "261 78 usa amc concord d/l \n",
+ " origin name \n",
+ "267 japan toyota corona \n",
+ "16 usa amc hornet \n",
+ "67 usa mercury marquis \n",
+ "160 usa buick century \n",
+ "7 usa plymouth fury iii \n",
+ ".. ... ... \n",
+ "72 usa amc matador (sw) \n",
+ "107 usa amc gremlin \n",
+ "272 usa oldsmobile starfire sx \n",
+ "352 usa ford escort 2h \n",
+ "103 usa chevrolet impala \n",
"\n",
- "[294 rows x 9 columns]"
+ "[294 rows x 8 columns]"
]
},
- "execution_count": 113,
+ "execution_count": 25,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
- "mpg_train, mpg_test = train_test_split(mpg_data, train_size=0.75,random_state=42)\n",
+ "X_train, X_test, y_train, y_test = train_test_split(mpg_data.drop(columns=['mpg']), mpg_data['mpg'], train_size=0.75,random_state=42)\n",
"\n",
- "mpg_train"
+ "X_train"
]
},
{
@@ -836,7 +824,7 @@
},
{
"cell_type": "code",
- "execution_count": 114,
+ "execution_count": 26,
"id": "ac1e1117",
"metadata": {},
"outputs": [
@@ -845,21 +833,21 @@
"output_type": "stream",
"text": [
" predictor slope intercept\n",
- "0 cylinders -0.611980 -12.00551\n",
- "1 displacement 0.007957 -12.00551\n",
- "2 horsepower -0.005012 -12.00551\n",
- "3 weight -0.003139 -12.00551\n",
- "4 acceleration 0.034705 -12.00551\n",
- "5 model_year 0.733816 -12.00551\n",
- "6 weight -0.003139 -12.00551\n"
+ "0 cylinders -0.160143 -15.047371\n",
+ "1 displacement 0.000373 -15.047371\n",
+ "2 horsepower -0.001899 -15.047371\n",
+ "3 weight -0.003228 -15.047371\n",
+ "4 acceleration 0.057588 -15.047371\n",
+ "5 model_year 0.762270 -15.047371\n",
+ "6 weight -0.003228 -15.047371\n"
]
}
],
"source": [
"# fit the linear regression model to the training data\n",
"lm = LinearRegression()\n",
- "numeric_predictors = mpg_train[[\"cylinders\", \"displacement\",\"horsepower\",\"weight\", \"acceleration\", \"model_year\",\"weight\"]]\n",
- "y = mpg_train[\"mpg\"]\n",
+ "numeric_predictors = X_train[[\"cylinders\", \"displacement\",\"horsepower\",\"weight\", \"acceleration\", \"model_year\",\"weight\"]]\n",
+ "y = y_train\n",
"\n",
"lm.fit(\n",
" numeric_predictors,\n",
@@ -894,29 +882,38 @@
},
{
"cell_type": "code",
- "execution_count": 109,
+ "execution_count": 24,
"id": "ffefa9f2",
"metadata": {},
"outputs": [
{
- "data": {
- "text/plain": [
- "3.7433423403576103"
- ]
- },
- "execution_count": 109,
- "metadata": {},
- "output_type": "execute_result"
+ "ename": "ValueError",
+ "evalue": "Found input variables with inconsistent numbers of samples: [99, 98]",
+ "output_type": "error",
+ "traceback": [
+ "\u001b[31m---------------------------------------------------------------------------\u001b[39m",
+ "\u001b[31mValueError\u001b[39m Traceback (most recent call last)",
+ "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[24]\u001b[39m\u001b[32m, line 8\u001b[39m\n\u001b[32m 4\u001b[39m \u001b[38;5;66;03m# Make predictions\u001b[39;00m\n\u001b[32m 5\u001b[39m y_pred = lm.predict(numeric_test_predictors)\n\u001b[32m 6\u001b[39m \n\u001b[32m 7\u001b[39m \u001b[38;5;66;03m#Calculate RMSPE\u001b[39;00m\n\u001b[32m----> \u001b[39m\u001b[32m8\u001b[39m lm_mult_test_RMSPE = mean_squared_error(\n\u001b[32m 9\u001b[39m y_true = y_test,\n\u001b[32m 10\u001b[39m y_pred = y_pred\n\u001b[32m 11\u001b[39m )**(1/2)\n",
+ "\u001b[36mFile \u001b[39m\u001b[32m~/Local Documents/DSI/Repos/LCR/lcr-env/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:218\u001b[39m, in \u001b[36mvalidate_params..decorator..wrapper\u001b[39m\u001b[34m(*args, **kwargs)\u001b[39m\n\u001b[32m 212\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m 213\u001b[39m \u001b[38;5;28;01mwith\u001b[39;00m config_context(\n\u001b[32m 214\u001b[39m skip_parameter_validation=(\n\u001b[32m 215\u001b[39m prefer_skip_nested_validation \u001b[38;5;129;01mor\u001b[39;00m global_skip_validation\n\u001b[32m 216\u001b[39m )\n\u001b[32m 217\u001b[39m ):\n\u001b[32m--> \u001b[39m\u001b[32m218\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[30;43mfunc\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43m*\u001b[39;49m\u001b[30;43margs\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43m*\u001b[39;49m\u001b[30;43m*\u001b[39;49m\u001b[30;43mkwargs\u001b[39;49m\u001b[30;43m)\u001b[39;49m\n\u001b[32m 219\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m InvalidParameterError \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[32m 220\u001b[39m \u001b[38;5;66;03m# When the function is just a wrapper around an estimator, we allow\u001b[39;00m\n\u001b[32m 221\u001b[39m \u001b[38;5;66;03m# the function to delegate validation to the estimator, but we replace\u001b[39;00m\n\u001b[32m 222\u001b[39m \u001b[38;5;66;03m# the name of the estimator by the name of the function in the error\u001b[39;00m\n\u001b[32m 223\u001b[39m \u001b[38;5;66;03m# message to avoid confusion.\u001b[39;00m\n\u001b[32m 224\u001b[39m msg = re.sub(\n\u001b[32m 225\u001b[39m \u001b[33mr\u001b[39m\u001b[33m\"\u001b[39m\u001b[33mparameter of \u001b[39m\u001b[33m\\\u001b[39m\u001b[33mw+ must be\u001b[39m\u001b[33m\"\u001b[39m,\n\u001b[32m 226\u001b[39m \u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33mparameter of \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfunc.\u001b[34m__qualname__\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m must be\u001b[39m\u001b[33m\"\u001b[39m,\n\u001b[32m 227\u001b[39m \u001b[38;5;28mstr\u001b[39m(e),\n\u001b[32m 228\u001b[39m )\n",
+ "\u001b[36mFile \u001b[39m\u001b[32m~/Local Documents/DSI/Repos/LCR/lcr-env/lib/python3.11/site-packages/sklearn/metrics/_regression.py:579\u001b[39m, in \u001b[36mmean_squared_error\u001b[39m\u001b[34m(y_true, y_pred, sample_weight, multioutput)\u001b[39m\n\u001b[32m 529\u001b[39m \u001b[38;5;250m\u001b[39m\u001b[33;03m\"\"\"Mean squared error regression loss.\u001b[39;00m\n\u001b[32m 530\u001b[39m \n\u001b[32m 531\u001b[39m \u001b[33;03mRead more in the :ref:`User Guide `.\u001b[39;00m\n\u001b[32m (...)\u001b[39m\u001b[32m 575\u001b[39m \u001b[33;03m0.825...\u001b[39;00m\n\u001b[32m 576\u001b[39m \u001b[33;03m\"\"\"\u001b[39;00m\n\u001b[32m 577\u001b[39m xp, _ = get_namespace(y_true, y_pred, sample_weight, multioutput)\n\u001b[32m 578\u001b[39m _, y_true, y_pred, sample_weight, multioutput = (\n\u001b[32m--> \u001b[39m\u001b[32m579\u001b[39m \u001b[30;43m_check_reg_targets_with_floating_dtype\u001b[39;49m\u001b[30;43m(\u001b[39;49m\n\u001b[32m 580\u001b[39m \u001b[30;43m \u001b[39;49m\u001b[30;43my_true\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43my_pred\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43msample_weight\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43mmultioutput\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43mxp\u001b[39;49m\u001b[30;43m=\u001b[39;49m\u001b[30;43mxp\u001b[39;49m\n\u001b[32m 581\u001b[39m \u001b[30;43m \u001b[39;49m\u001b[30;43m)\u001b[39;49m\n\u001b[32m 582\u001b[39m )\n\u001b[32m 583\u001b[39m output_errors = _average(\n\u001b[32m 584\u001b[39m (y_true - y_pred) ** \u001b[32m2\u001b[39m, axis=\u001b[32m0\u001b[39m, weights=sample_weight, xp=xp\n\u001b[32m 585\u001b[39m )\n\u001b[32m 587\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(multioutput, \u001b[38;5;28mstr\u001b[39m):\n",
+ "\u001b[36mFile \u001b[39m\u001b[32m~/Local Documents/DSI/Repos/LCR/lcr-env/lib/python3.11/site-packages/sklearn/metrics/_regression.py:208\u001b[39m, in \u001b[36m_check_reg_targets_with_floating_dtype\u001b[39m\u001b[34m(y_true, y_pred, sample_weight, multioutput, xp)\u001b[39m\n\u001b[32m 159\u001b[39m \u001b[38;5;250m\u001b[39m\u001b[33;03m\"\"\"Ensures y_true, y_pred, and sample_weight correspond to same regression task.\u001b[39;00m\n\u001b[32m 160\u001b[39m \n\u001b[32m 161\u001b[39m \u001b[33;03mExtends `_check_reg_targets` by automatically selecting a suitable floating-point\u001b[39;00m\n\u001b[32m (...)\u001b[39m\u001b[32m 204\u001b[39m \u001b[33;03m correct keyword.\u001b[39;00m\n\u001b[32m 205\u001b[39m \u001b[33;03m\"\"\"\u001b[39;00m\n\u001b[32m 206\u001b[39m dtype_name = _find_matching_floating_dtype(y_true, y_pred, sample_weight, xp=xp)\n\u001b[32m--> \u001b[39m\u001b[32m208\u001b[39m y_type, y_true, y_pred, sample_weight, multioutput = \u001b[30;43m_check_reg_targets\u001b[39;49m\u001b[30;43m(\u001b[39;49m\n\u001b[32m 209\u001b[39m \u001b[30;43m \u001b[39;49m\u001b[30;43my_true\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43my_pred\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43msample_weight\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43mmultioutput\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43mdtype\u001b[39;49m\u001b[30;43m=\u001b[39;49m\u001b[30;43mdtype_name\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43mxp\u001b[39;49m\u001b[30;43m=\u001b[39;49m\u001b[30;43mxp\u001b[39;49m\n\u001b[32m 210\u001b[39m \u001b[30;43m\u001b[39;49m\u001b[30;43m)\u001b[39;49m\n\u001b[32m 212\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m y_type, y_true, y_pred, sample_weight, multioutput\n",
+ "\u001b[36mFile \u001b[39m\u001b[32m~/Local Documents/DSI/Repos/LCR/lcr-env/lib/python3.11/site-packages/sklearn/metrics/_regression.py:113\u001b[39m, in \u001b[36m_check_reg_targets\u001b[39m\u001b[34m(y_true, y_pred, sample_weight, multioutput, dtype, xp)\u001b[39m\n\u001b[32m 62\u001b[39m \u001b[38;5;250m\u001b[39m\u001b[33;03m\"\"\"Check that y_true, y_pred and sample_weight belong to the same regression task.\u001b[39;00m\n\u001b[32m 63\u001b[39m \n\u001b[32m 64\u001b[39m \u001b[33;03mTo reduce redundancy when calling `_find_matching_floating_dtype`,\u001b[39;00m\n\u001b[32m (...)\u001b[39m\u001b[32m 109\u001b[39m \u001b[33;03m correct keyword.\u001b[39;00m\n\u001b[32m 110\u001b[39m \u001b[33;03m\"\"\"\u001b[39;00m\n\u001b[32m 111\u001b[39m xp, _ = get_namespace(y_true, y_pred, multioutput, xp=xp)\n\u001b[32m--> \u001b[39m\u001b[32m113\u001b[39m \u001b[30;43mcheck_consistent_length\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43my_true\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43my_pred\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43msample_weight\u001b[39;49m\u001b[30;43m)\u001b[39;49m\n\u001b[32m 114\u001b[39m y_true = check_array(y_true, ensure_2d=\u001b[38;5;28;01mFalse\u001b[39;00m, dtype=dtype)\n\u001b[32m 115\u001b[39m y_pred = check_array(y_pred, ensure_2d=\u001b[38;5;28;01mFalse\u001b[39;00m, dtype=dtype)\n",
+ "\u001b[36mFile \u001b[39m\u001b[32m~/Local Documents/DSI/Repos/LCR/lcr-env/lib/python3.11/site-packages/sklearn/utils/validation.py:464\u001b[39m, in \u001b[36mcheck_consistent_length\u001b[39m\u001b[34m(*arrays)\u001b[39m\n\u001b[32m 462\u001b[39m lengths = [_num_samples(X) \u001b[38;5;28;01mfor\u001b[39;00m X \u001b[38;5;129;01min\u001b[39;00m arrays \u001b[38;5;28;01mif\u001b[39;00m X \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m]\n\u001b[32m 463\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(\u001b[38;5;28mset\u001b[39m(lengths)) > \u001b[32m1\u001b[39m:\n\u001b[32m--> \u001b[39m\u001b[32m464\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[32m 465\u001b[39m \u001b[33m\"\u001b[39m\u001b[33mFound input variables with inconsistent numbers of samples: \u001b[39m\u001b[38;5;132;01m%r\u001b[39;00m\u001b[33m\"\u001b[39m\n\u001b[32m 466\u001b[39m % [\u001b[38;5;28mint\u001b[39m(l) \u001b[38;5;28;01mfor\u001b[39;00m l \u001b[38;5;129;01min\u001b[39;00m lengths]\n\u001b[32m 467\u001b[39m )\n",
+ "\u001b[31mValueError\u001b[39m: Found input variables with inconsistent numbers of samples: [99, 98]"
+ ]
}
],
"source": [
"# Add predicted values to test data df\n",
- "mpg_test[\"predicted\"] = lm.predict(mpg_test[[\"cylinders\", \"displacement\",\"horsepower\",\"weight\", \"acceleration\", \"model_year\", \"weight\"]])\n",
+ "numeric_test_predictors = X_test[[\"cylinders\", \"displacement\",\"horsepower\",\"weight\", \"acceleration\", \"model_year\",\"weight\"]]\n",
+ "\n",
+ "# Make predictions\n",
+ "y_pred = lm.predict(numeric_test_predictors)\n",
"\n",
"#Calculate RMSPE\n",
"lm_mult_test_RMSPE = mean_squared_error(\n",
- " y_true=mpg_test[\"mpg\"],\n",
- " y_pred=mpg_test[\"predicted\"]\n",
+ " y_true = y_test,\n",
+ " y_pred = y_pred\n",
")**(1/2)\n",
"\n",
"lm_mult_test_RMSPE"
From 4bb19b670837aaf42694a899de6b4d4e26c8859b Mon Sep 17 00:00:00 2001
From: Jonathan Nahmiach <98768155+Jona-Jona-Jona@users.noreply.github.com>
Date: Mon, 1 Jun 2026 16:04:49 -0400
Subject: [PATCH 3/5] Corrections to Q4
---
02_activities/assignments/assignment_2.ipynb | 54 ++++++++------------
1 file changed, 22 insertions(+), 32 deletions(-)
diff --git a/02_activities/assignments/assignment_2.ipynb b/02_activities/assignments/assignment_2.ipynb
index ea65ece56..46b3446ac 100644
--- a/02_activities/assignments/assignment_2.ipynb
+++ b/02_activities/assignments/assignment_2.ipynb
@@ -34,7 +34,7 @@
},
{
"cell_type": "code",
- "execution_count": 2,
+ "execution_count": 1,
"id": "4a3485d6-ba58-4660-a983-5680821c5719",
"metadata": {},
"outputs": [],
@@ -50,7 +50,7 @@
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": 2,
"id": "a431d282-f9ca-4d5d-8912-71ffc9d8ea19",
"metadata": {},
"outputs": [
@@ -167,7 +167,7 @@
"4 70 usa ford torino "
]
},
- "execution_count": 3,
+ "execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
@@ -200,7 +200,7 @@
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": 3,
"id": "5d79f1cf",
"metadata": {},
"outputs": [
@@ -228,7 +228,7 @@
},
{
"cell_type": "code",
- "execution_count": 5,
+ "execution_count": 4,
"id": "ac306190",
"metadata": {},
"outputs": [
@@ -265,7 +265,7 @@
},
{
"cell_type": "code",
- "execution_count": 6,
+ "execution_count": 5,
"id": "9f034a5d",
"metadata": {},
"outputs": [
@@ -382,7 +382,7 @@
"6 70 usa chevrolet impala "
]
},
- "execution_count": 6,
+ "execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
@@ -405,7 +405,7 @@
},
{
"cell_type": "code",
- "execution_count": 7,
+ "execution_count": 6,
"id": "1b91233e",
"metadata": {},
"outputs": [
@@ -444,7 +444,7 @@
},
{
"cell_type": "code",
- "execution_count": 8,
+ "execution_count": 7,
"id": "732784d8",
"metadata": {},
"outputs": [
@@ -611,7 +611,7 @@
},
{
"cell_type": "code",
- "execution_count": 25,
+ "execution_count": 21,
"id": "399225f4",
"metadata": {},
"outputs": [
@@ -803,7 +803,7 @@
"[294 rows x 8 columns]"
]
},
- "execution_count": 25,
+ "execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
@@ -824,7 +824,7 @@
},
{
"cell_type": "code",
- "execution_count": 26,
+ "execution_count": 25,
"id": "ac1e1117",
"metadata": {},
"outputs": [
@@ -836,17 +836,16 @@
"0 cylinders -0.160143 -15.047371\n",
"1 displacement 0.000373 -15.047371\n",
"2 horsepower -0.001899 -15.047371\n",
- "3 weight -0.003228 -15.047371\n",
+ "3 weight -0.006457 -15.047371\n",
"4 acceleration 0.057588 -15.047371\n",
- "5 model_year 0.762270 -15.047371\n",
- "6 weight -0.003228 -15.047371\n"
+ "5 model_year 0.762270 -15.047371\n"
]
}
],
"source": [
"# fit the linear regression model to the training data\n",
"lm = LinearRegression()\n",
- "numeric_predictors = X_train[[\"cylinders\", \"displacement\",\"horsepower\",\"weight\", \"acceleration\", \"model_year\",\"weight\"]]\n",
+ "numeric_predictors = X_train[[\"cylinders\", \"displacement\",\"horsepower\",\"weight\", \"acceleration\", \"model_year\"]]\n",
"y = y_train\n",
"\n",
"lm.fit(\n",
@@ -882,30 +881,21 @@
},
{
"cell_type": "code",
- "execution_count": 24,
+ "execution_count": 23,
"id": "ffefa9f2",
"metadata": {},
"outputs": [
{
- "ename": "ValueError",
- "evalue": "Found input variables with inconsistent numbers of samples: [99, 98]",
- "output_type": "error",
- "traceback": [
- "\u001b[31m---------------------------------------------------------------------------\u001b[39m",
- "\u001b[31mValueError\u001b[39m Traceback (most recent call last)",
- "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[24]\u001b[39m\u001b[32m, line 8\u001b[39m\n\u001b[32m 4\u001b[39m \u001b[38;5;66;03m# Make predictions\u001b[39;00m\n\u001b[32m 5\u001b[39m y_pred = lm.predict(numeric_test_predictors)\n\u001b[32m 6\u001b[39m \n\u001b[32m 7\u001b[39m \u001b[38;5;66;03m#Calculate RMSPE\u001b[39;00m\n\u001b[32m----> \u001b[39m\u001b[32m8\u001b[39m lm_mult_test_RMSPE = mean_squared_error(\n\u001b[32m 9\u001b[39m y_true = y_test,\n\u001b[32m 10\u001b[39m y_pred = y_pred\n\u001b[32m 11\u001b[39m )**(1/2)\n",
- "\u001b[36mFile \u001b[39m\u001b[32m~/Local Documents/DSI/Repos/LCR/lcr-env/lib/python3.11/site-packages/sklearn/utils/_param_validation.py:218\u001b[39m, in \u001b[36mvalidate_params..decorator..wrapper\u001b[39m\u001b[34m(*args, **kwargs)\u001b[39m\n\u001b[32m 212\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m 213\u001b[39m \u001b[38;5;28;01mwith\u001b[39;00m config_context(\n\u001b[32m 214\u001b[39m skip_parameter_validation=(\n\u001b[32m 215\u001b[39m prefer_skip_nested_validation \u001b[38;5;129;01mor\u001b[39;00m global_skip_validation\n\u001b[32m 216\u001b[39m )\n\u001b[32m 217\u001b[39m ):\n\u001b[32m--> \u001b[39m\u001b[32m218\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[30;43mfunc\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43m*\u001b[39;49m\u001b[30;43margs\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43m*\u001b[39;49m\u001b[30;43m*\u001b[39;49m\u001b[30;43mkwargs\u001b[39;49m\u001b[30;43m)\u001b[39;49m\n\u001b[32m 219\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m InvalidParameterError \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[32m 220\u001b[39m \u001b[38;5;66;03m# When the function is just a wrapper around an estimator, we allow\u001b[39;00m\n\u001b[32m 221\u001b[39m \u001b[38;5;66;03m# the function to delegate validation to the estimator, but we replace\u001b[39;00m\n\u001b[32m 222\u001b[39m \u001b[38;5;66;03m# the name of the estimator by the name of the function in the error\u001b[39;00m\n\u001b[32m 223\u001b[39m \u001b[38;5;66;03m# message to avoid confusion.\u001b[39;00m\n\u001b[32m 224\u001b[39m msg = re.sub(\n\u001b[32m 225\u001b[39m \u001b[33mr\u001b[39m\u001b[33m\"\u001b[39m\u001b[33mparameter of \u001b[39m\u001b[33m\\\u001b[39m\u001b[33mw+ must be\u001b[39m\u001b[33m\"\u001b[39m,\n\u001b[32m 226\u001b[39m \u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33mparameter of \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfunc.\u001b[34m__qualname__\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m must be\u001b[39m\u001b[33m\"\u001b[39m,\n\u001b[32m 227\u001b[39m \u001b[38;5;28mstr\u001b[39m(e),\n\u001b[32m 228\u001b[39m )\n",
- "\u001b[36mFile \u001b[39m\u001b[32m~/Local Documents/DSI/Repos/LCR/lcr-env/lib/python3.11/site-packages/sklearn/metrics/_regression.py:579\u001b[39m, in \u001b[36mmean_squared_error\u001b[39m\u001b[34m(y_true, y_pred, sample_weight, multioutput)\u001b[39m\n\u001b[32m 529\u001b[39m \u001b[38;5;250m\u001b[39m\u001b[33;03m\"\"\"Mean squared error regression loss.\u001b[39;00m\n\u001b[32m 530\u001b[39m \n\u001b[32m 531\u001b[39m \u001b[33;03mRead more in the :ref:`User Guide `.\u001b[39;00m\n\u001b[32m (...)\u001b[39m\u001b[32m 575\u001b[39m \u001b[33;03m0.825...\u001b[39;00m\n\u001b[32m 576\u001b[39m \u001b[33;03m\"\"\"\u001b[39;00m\n\u001b[32m 577\u001b[39m xp, _ = get_namespace(y_true, y_pred, sample_weight, multioutput)\n\u001b[32m 578\u001b[39m _, y_true, y_pred, sample_weight, multioutput = (\n\u001b[32m--> \u001b[39m\u001b[32m579\u001b[39m \u001b[30;43m_check_reg_targets_with_floating_dtype\u001b[39;49m\u001b[30;43m(\u001b[39;49m\n\u001b[32m 580\u001b[39m \u001b[30;43m \u001b[39;49m\u001b[30;43my_true\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43my_pred\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43msample_weight\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43mmultioutput\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43mxp\u001b[39;49m\u001b[30;43m=\u001b[39;49m\u001b[30;43mxp\u001b[39;49m\n\u001b[32m 581\u001b[39m \u001b[30;43m \u001b[39;49m\u001b[30;43m)\u001b[39;49m\n\u001b[32m 582\u001b[39m )\n\u001b[32m 583\u001b[39m output_errors = _average(\n\u001b[32m 584\u001b[39m (y_true - y_pred) ** \u001b[32m2\u001b[39m, axis=\u001b[32m0\u001b[39m, weights=sample_weight, xp=xp\n\u001b[32m 585\u001b[39m )\n\u001b[32m 587\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(multioutput, \u001b[38;5;28mstr\u001b[39m):\n",
- "\u001b[36mFile \u001b[39m\u001b[32m~/Local Documents/DSI/Repos/LCR/lcr-env/lib/python3.11/site-packages/sklearn/metrics/_regression.py:208\u001b[39m, in \u001b[36m_check_reg_targets_with_floating_dtype\u001b[39m\u001b[34m(y_true, y_pred, sample_weight, multioutput, xp)\u001b[39m\n\u001b[32m 159\u001b[39m \u001b[38;5;250m\u001b[39m\u001b[33;03m\"\"\"Ensures y_true, y_pred, and sample_weight correspond to same regression task.\u001b[39;00m\n\u001b[32m 160\u001b[39m \n\u001b[32m 161\u001b[39m \u001b[33;03mExtends `_check_reg_targets` by automatically selecting a suitable floating-point\u001b[39;00m\n\u001b[32m (...)\u001b[39m\u001b[32m 204\u001b[39m \u001b[33;03m correct keyword.\u001b[39;00m\n\u001b[32m 205\u001b[39m \u001b[33;03m\"\"\"\u001b[39;00m\n\u001b[32m 206\u001b[39m dtype_name = _find_matching_floating_dtype(y_true, y_pred, sample_weight, xp=xp)\n\u001b[32m--> \u001b[39m\u001b[32m208\u001b[39m y_type, y_true, y_pred, sample_weight, multioutput = \u001b[30;43m_check_reg_targets\u001b[39;49m\u001b[30;43m(\u001b[39;49m\n\u001b[32m 209\u001b[39m \u001b[30;43m \u001b[39;49m\u001b[30;43my_true\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43my_pred\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43msample_weight\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43mmultioutput\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43mdtype\u001b[39;49m\u001b[30;43m=\u001b[39;49m\u001b[30;43mdtype_name\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43mxp\u001b[39;49m\u001b[30;43m=\u001b[39;49m\u001b[30;43mxp\u001b[39;49m\n\u001b[32m 210\u001b[39m \u001b[30;43m\u001b[39;49m\u001b[30;43m)\u001b[39;49m\n\u001b[32m 212\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m y_type, y_true, y_pred, sample_weight, multioutput\n",
- "\u001b[36mFile \u001b[39m\u001b[32m~/Local Documents/DSI/Repos/LCR/lcr-env/lib/python3.11/site-packages/sklearn/metrics/_regression.py:113\u001b[39m, in \u001b[36m_check_reg_targets\u001b[39m\u001b[34m(y_true, y_pred, sample_weight, multioutput, dtype, xp)\u001b[39m\n\u001b[32m 62\u001b[39m \u001b[38;5;250m\u001b[39m\u001b[33;03m\"\"\"Check that y_true, y_pred and sample_weight belong to the same regression task.\u001b[39;00m\n\u001b[32m 63\u001b[39m \n\u001b[32m 64\u001b[39m \u001b[33;03mTo reduce redundancy when calling `_find_matching_floating_dtype`,\u001b[39;00m\n\u001b[32m (...)\u001b[39m\u001b[32m 109\u001b[39m \u001b[33;03m correct keyword.\u001b[39;00m\n\u001b[32m 110\u001b[39m \u001b[33;03m\"\"\"\u001b[39;00m\n\u001b[32m 111\u001b[39m xp, _ = get_namespace(y_true, y_pred, multioutput, xp=xp)\n\u001b[32m--> \u001b[39m\u001b[32m113\u001b[39m \u001b[30;43mcheck_consistent_length\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43my_true\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43my_pred\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43msample_weight\u001b[39;49m\u001b[30;43m)\u001b[39;49m\n\u001b[32m 114\u001b[39m y_true = check_array(y_true, ensure_2d=\u001b[38;5;28;01mFalse\u001b[39;00m, dtype=dtype)\n\u001b[32m 115\u001b[39m y_pred = check_array(y_pred, ensure_2d=\u001b[38;5;28;01mFalse\u001b[39;00m, dtype=dtype)\n",
- "\u001b[36mFile \u001b[39m\u001b[32m~/Local Documents/DSI/Repos/LCR/lcr-env/lib/python3.11/site-packages/sklearn/utils/validation.py:464\u001b[39m, in \u001b[36mcheck_consistent_length\u001b[39m\u001b[34m(*arrays)\u001b[39m\n\u001b[32m 462\u001b[39m lengths = [_num_samples(X) \u001b[38;5;28;01mfor\u001b[39;00m X \u001b[38;5;129;01min\u001b[39;00m arrays \u001b[38;5;28;01mif\u001b[39;00m X \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m]\n\u001b[32m 463\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(\u001b[38;5;28mset\u001b[39m(lengths)) > \u001b[32m1\u001b[39m:\n\u001b[32m--> \u001b[39m\u001b[32m464\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[32m 465\u001b[39m \u001b[33m\"\u001b[39m\u001b[33mFound input variables with inconsistent numbers of samples: \u001b[39m\u001b[38;5;132;01m%r\u001b[39;00m\u001b[33m\"\u001b[39m\n\u001b[32m 466\u001b[39m % [\u001b[38;5;28mint\u001b[39m(l) \u001b[38;5;28;01mfor\u001b[39;00m l \u001b[38;5;129;01min\u001b[39;00m lengths]\n\u001b[32m 467\u001b[39m )\n",
- "\u001b[31mValueError\u001b[39m: Found input variables with inconsistent numbers of samples: [99, 98]"
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "the RMSPE is 3.185\n"
]
}
],
"source": [
"# Add predicted values to test data df\n",
- "numeric_test_predictors = X_test[[\"cylinders\", \"displacement\",\"horsepower\",\"weight\", \"acceleration\", \"model_year\",\"weight\"]]\n",
+ "numeric_test_predictors = X_test[[\"cylinders\", \"displacement\",\"horsepower\",\"weight\", \"acceleration\", \"model_year\"]]\n",
"\n",
"# Make predictions\n",
"y_pred = lm.predict(numeric_test_predictors)\n",
@@ -916,7 +906,7 @@
" y_pred = y_pred\n",
")**(1/2)\n",
"\n",
- "lm_mult_test_RMSPE"
+ "print(f\"the RMSPE is {round(lm_mult_test_RMSPE,3)}\")"
]
},
{
From 317b6bcbfbbb5d7dfe9982b65e079ebe9d075441 Mon Sep 17 00:00:00 2001
From: Jonathan Nahmiach <98768155+Jona-Jona-Jona@users.noreply.github.com>
Date: Mon, 1 Jun 2026 16:12:39 -0400
Subject: [PATCH 4/5] Change to select_dtypes instead of listing column names
---
02_activities/assignments/assignment_2.ipynb | 20 ++++++++++----------
1 file changed, 10 insertions(+), 10 deletions(-)
diff --git a/02_activities/assignments/assignment_2.ipynb b/02_activities/assignments/assignment_2.ipynb
index 46b3446ac..5e1670ee5 100644
--- a/02_activities/assignments/assignment_2.ipynb
+++ b/02_activities/assignments/assignment_2.ipynb
@@ -34,7 +34,7 @@
},
{
"cell_type": "code",
- "execution_count": 1,
+ "execution_count": 27,
"id": "4a3485d6-ba58-4660-a983-5680821c5719",
"metadata": {},
"outputs": [],
@@ -50,7 +50,7 @@
},
{
"cell_type": "code",
- "execution_count": 2,
+ "execution_count": 28,
"id": "a431d282-f9ca-4d5d-8912-71ffc9d8ea19",
"metadata": {},
"outputs": [
@@ -167,7 +167,7 @@
"4 70 usa ford torino "
]
},
- "execution_count": 2,
+ "execution_count": 28,
"metadata": {},
"output_type": "execute_result"
}
@@ -200,7 +200,7 @@
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": 29,
"id": "5d79f1cf",
"metadata": {},
"outputs": [
@@ -265,7 +265,7 @@
},
{
"cell_type": "code",
- "execution_count": 5,
+ "execution_count": 30,
"id": "9f034a5d",
"metadata": {},
"outputs": [
@@ -382,7 +382,7 @@
"6 70 usa chevrolet impala "
]
},
- "execution_count": 5,
+ "execution_count": 30,
"metadata": {},
"output_type": "execute_result"
}
@@ -405,7 +405,7 @@
},
{
"cell_type": "code",
- "execution_count": 6,
+ "execution_count": 31,
"id": "1b91233e",
"metadata": {},
"outputs": [
@@ -444,7 +444,7 @@
},
{
"cell_type": "code",
- "execution_count": 7,
+ "execution_count": null,
"id": "732784d8",
"metadata": {},
"outputs": [
@@ -824,7 +824,7 @@
},
{
"cell_type": "code",
- "execution_count": 25,
+ "execution_count": 33,
"id": "ac1e1117",
"metadata": {},
"outputs": [
@@ -881,7 +881,7 @@
},
{
"cell_type": "code",
- "execution_count": 23,
+ "execution_count": 34,
"id": "ffefa9f2",
"metadata": {},
"outputs": [
From d856d316d0d3f720951e22345979c599213496e0 Mon Sep 17 00:00:00 2001
From: Jonathan Nahmiach <98768155+Jona-Jona-Jona@users.noreply.github.com>
Date: Mon, 1 Jun 2026 16:16:20 -0400
Subject: [PATCH 5/5] corrections to assignment 2
---
02_activities/assignments/assignment_2.ipynb | 79 ++++++--------------
1 file changed, 21 insertions(+), 58 deletions(-)
diff --git a/02_activities/assignments/assignment_2.ipynb b/02_activities/assignments/assignment_2.ipynb
index 5e1670ee5..286bae26d 100644
--- a/02_activities/assignments/assignment_2.ipynb
+++ b/02_activities/assignments/assignment_2.ipynb
@@ -611,7 +611,7 @@
},
{
"cell_type": "code",
- "execution_count": 21,
+ "execution_count": 39,
"id": "399225f4",
"metadata": {},
"outputs": [
@@ -642,8 +642,6 @@
" weight \n",
" acceleration \n",
" model_year \n",
- " origin \n",
- " name \n",
" \n",
" \n",
" \n",
@@ -655,8 +653,6 @@
" 2560 \n",
" 14.2 \n",
" 78 \n",
- " japan \n",
- " toyota corona \n",
" \n",
" \n",
" 16 \n",
@@ -666,8 +662,6 @@
" 2774 \n",
" 15.5 \n",
" 70 \n",
- " usa \n",
- " amc hornet \n",
" \n",
" \n",
" 67 \n",
@@ -677,8 +671,6 @@
" 4633 \n",
" 11.0 \n",
" 72 \n",
- " usa \n",
- " mercury marquis \n",
" \n",
" \n",
" 160 \n",
@@ -688,8 +680,6 @@
" 3907 \n",
" 21.0 \n",
" 75 \n",
- " usa \n",
- " buick century \n",
" \n",
" \n",
" 7 \n",
@@ -699,8 +689,6 @@
" 4312 \n",
" 8.5 \n",
" 70 \n",
- " usa \n",
- " plymouth fury iii \n",
" \n",
" \n",
" ... \n",
@@ -710,8 +698,6 @@
" ... \n",
" ... \n",
" ... \n",
- " ... \n",
- " ... \n",
" \n",
" \n",
" 72 \n",
@@ -721,8 +707,6 @@
" 3892 \n",
" 12.5 \n",
" 72 \n",
- " usa \n",
- " amc matador (sw) \n",
" \n",
" \n",
" 107 \n",
@@ -732,8 +716,6 @@
" 2789 \n",
" 15.0 \n",
" 73 \n",
- " usa \n",
- " amc gremlin \n",
" \n",
" \n",
" 272 \n",
@@ -743,8 +725,6 @@
" 2855 \n",
" 17.6 \n",
" 78 \n",
- " usa \n",
- " oldsmobile starfire sx \n",
" \n",
" \n",
" 352 \n",
@@ -754,8 +734,6 @@
" 2380 \n",
" 20.7 \n",
" 81 \n",
- " usa \n",
- " ford escort 2h \n",
" \n",
" \n",
" 103 \n",
@@ -765,51 +743,36 @@
" 4997 \n",
" 14.0 \n",
" 73 \n",
- " usa \n",
- " chevrolet impala \n",
" \n",
" \n",
"\n",
- "294 rows × 8 columns
\n",
+ "294 rows × 6 columns
\n",
""
],
"text/plain": [
- " cylinders displacement horsepower weight acceleration model_year \\\n",
- "267 4 134.0 95.0 2560 14.2 78 \n",
- "16 6 199.0 97.0 2774 15.5 70 \n",
- "67 8 429.0 208.0 4633 11.0 72 \n",
- "160 6 231.0 110.0 3907 21.0 75 \n",
- "7 8 440.0 215.0 4312 8.5 70 \n",
- ".. ... ... ... ... ... ... \n",
- "72 8 304.0 150.0 3892 12.5 72 \n",
- "107 6 232.0 100.0 2789 15.0 73 \n",
- "272 4 151.0 85.0 2855 17.6 78 \n",
- "352 4 98.0 65.0 2380 20.7 81 \n",
- "103 8 400.0 150.0 4997 14.0 73 \n",
- "\n",
- " origin name \n",
- "267 japan toyota corona \n",
- "16 usa amc hornet \n",
- "67 usa mercury marquis \n",
- "160 usa buick century \n",
- "7 usa plymouth fury iii \n",
- ".. ... ... \n",
- "72 usa amc matador (sw) \n",
- "107 usa amc gremlin \n",
- "272 usa oldsmobile starfire sx \n",
- "352 usa ford escort 2h \n",
- "103 usa chevrolet impala \n",
+ " cylinders displacement horsepower weight acceleration model_year\n",
+ "267 4 134.0 95.0 2560 14.2 78\n",
+ "16 6 199.0 97.0 2774 15.5 70\n",
+ "67 8 429.0 208.0 4633 11.0 72\n",
+ "160 6 231.0 110.0 3907 21.0 75\n",
+ "7 8 440.0 215.0 4312 8.5 70\n",
+ ".. ... ... ... ... ... ...\n",
+ "72 8 304.0 150.0 3892 12.5 72\n",
+ "107 6 232.0 100.0 2789 15.0 73\n",
+ "272 4 151.0 85.0 2855 17.6 78\n",
+ "352 4 98.0 65.0 2380 20.7 81\n",
+ "103 8 400.0 150.0 4997 14.0 73\n",
"\n",
- "[294 rows x 8 columns]"
+ "[294 rows x 6 columns]"
]
},
- "execution_count": 21,
+ "execution_count": 39,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
- "X_train, X_test, y_train, y_test = train_test_split(mpg_data.drop(columns=['mpg']), mpg_data['mpg'], train_size=0.75,random_state=42)\n",
+ "X_train, X_test, y_train, y_test = train_test_split(mpg_data.select_dtypes(include=[float, int]).drop(columns=['mpg']), mpg_data['mpg'], train_size=0.75,random_state=42)\n",
"\n",
"X_train"
]
@@ -824,7 +787,7 @@
},
{
"cell_type": "code",
- "execution_count": 33,
+ "execution_count": 40,
"id": "ac1e1117",
"metadata": {},
"outputs": [
@@ -845,7 +808,7 @@
"source": [
"# fit the linear regression model to the training data\n",
"lm = LinearRegression()\n",
- "numeric_predictors = X_train[[\"cylinders\", \"displacement\",\"horsepower\",\"weight\", \"acceleration\", \"model_year\"]]\n",
+ "numeric_predictors = X_train.select_dtypes(include=[float, int])\n",
"y = y_train\n",
"\n",
"lm.fit(\n",
@@ -881,7 +844,7 @@
},
{
"cell_type": "code",
- "execution_count": 34,
+ "execution_count": 41,
"id": "ffefa9f2",
"metadata": {},
"outputs": [
@@ -895,7 +858,7 @@
],
"source": [
"# Add predicted values to test data df\n",
- "numeric_test_predictors = X_test[[\"cylinders\", \"displacement\",\"horsepower\",\"weight\", \"acceleration\", \"model_year\"]]\n",
+ "numeric_test_predictors = X_test.select_dtypes(include=[float, int])\n",
"\n",
"# Make predictions\n",
"y_pred = lm.predict(numeric_test_predictors)\n",