QM-7063-Learning-Practice-5/Schrick-Noah_Learning-Practice-5.ipynb

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"# Learning Practice 5 for the University of Tulsa's QM-7063 Data Mining Course\n",
"# Prediction and Classification Methods\n",
"# # Professor: Dr. Abdulrashid, Spring 2023\n",
"# Noah L. Schrick - 1492657\n",
"\n",
"%matplotlib inline\n",
"from pathlib import Path\n",
"\n",
"import pandas as pd\n",
"from sklearn.model_selection import train_test_split\n",
"from sklearn.linear_model import LinearRegression, Lasso, Ridge, LassoCV, BayesianRidge\n",
"import statsmodels.formula.api as sm\n",
"import matplotlib.pylab as plt\n",
"import seaborn as sns\n"
]
},
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"attachments": {},
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"# Problem 6.1\n",
"The file BostonHousing.csv contains information collected by the US Bureau of the Census concerning housing in the area of Boston, Massachusetts. The dataset includes information on 506 census housing tracts in the Boston area. The goal is to predict the median house price in new tracts based on information such as crime rate, pollution, and number of rooms. The dataset contains 13 predictors, and the outcome variable is the median house price (MEDV). Table 6.11 describes each of the predictors and the outcome variable.\n",
"\n",
"TABLE 6.11 DESCRIPTION OF VARIABLES FOR BOSTON HOUSING EXAMPLE\n",
"CRIM Per capita crime rate by town\n",
"ZN Proportion of residential land zoned for lots over 25,000 ft2\n",
"INDUS Proportion of nonretail business acres per town\n",
"CHAS Charles River dummy variable (=1 if tract bounds river; =0 otherwise)\n",
"NOX Nitric oxide concentration (parts per 10 million)\n",
"RM Average number of rooms per dwelling\n",
"AGE Proportion of owner-occupied units built prior to 1940\n",
"DIS Weighted distances to five Boston employment centers\n",
"RAD Index of accessibility to radial highways\n",
"TAX Full-value property-tax rate per $10,000\n",
"PTRATIO Pupil/teacher ratio by town\n",
"LSTAT Percentage lower status of the population\n",
"MEDV Median value of owner-occupied homes in $100\n",
"\n",
"\n",
"a.\n",
" Why should the data be partitioned into training and validation sets? What will the training set be used for? What will the validation set be used for?\n",
"b.\n",
" Fit a multiple linear regression model to the median house price (MEDV) as a function of CRIM, CHAS, and RM. Write the equation for predicting the median house price from the predictors in the model.\n",
"c. \n",
" Using the estimated regression model, what median house price is predicted for a tract in the Boston area that does not bound the Charles River, has a crime rate of 0.1, and where the average number of rooms per house is 6?\n",
"d. \n",
" Reduce the number of predictors:\n",
" i. Which predictors are likely to be measuring the same thing among the 13 predictors? Discuss the relationships among INDUS, NOX, and TAX.\n",
" ii. Compute the correlation table for the 12 numerical predictors and search for highly correlated pairs. These have potential redundancy and can cause multi-collinearity. Choose which ones to remove based on this table.\n",
" iii. Use three subset selection algorithms: backward, forward, and stepwise) to reduce the remaining predictors. Compute the validation performance for each of the three selected models. Compare RMSE, MAPE, and mean error, as well as histograms of the errors. Finally, describe the best model."
]
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"# a.\n",
"The training set is used to train and build the model. The data within this set is fed directly into the model to provide a fit.\n",
"\n",
"The validation set is used to evaluate and rate the model. This data is unknown to the model since it is not fed into the training, and is not used in any other way. The model attempts to classify this unknown data, and its performance and accuracy is checked.\n",
"\n",
"Partitioning the data allows us to confirm if the model is working as intended. Having a set of data used to measure the model lets us check if the fit is acceptable or not. If we were to use all of the data for training the model, and then use that same data to check performance and accuracy, we would have biased results."
]
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{
"name": "stdout",
"output_type": "stream",
"text": [
"intercept -29.193467430606834\n",
" Predictor coefficient\n",
"0 CRIM -0.240062\n",
"1 CHAS 3.266817\n",
"2 RM 8.325175\n"
]
}
],
"source": [
"# b.\n",
"housing_df = pd.read_csv('BostonHousing.csv')\n",
"housing_df = housing_df.drop('CAT. MEDV', axis=1)\n",
"#housing_b_df = housing_df[['MEDV', 'CRIM', 'CHAS', 'RM']]\n",
"predictors = ['CRIM', 'CHAS', 'RM']\n",
"outcome = 'MEDV'\n",
"\n",
"# partition data\n",
"X = pd.get_dummies(housing_df[predictors], drop_first=True)\n",
"y = housing_df[outcome]\n",
"train_X, valid_X, train_y, valid_y = train_test_split(X, y, test_size=0.4, random_state=1)\n",
"housing_lm = LinearRegression()\n",
"housing_lm.fit(train_X, train_y)\n",
"\n",
"# print coefficients\n",
"print('intercept ', housing_lm.intercept_)\n",
"print(pd.DataFrame({'Predictor': X.columns, 'coefficient': housing_lm.coef_}))\n",
"\n",
"# Equation:\n",
"# MEDV = -29.19 -0.24*CRIM + 3.27*CHAS + 8.33*RM\n"
]
},
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{
"name": "stdout",
"output_type": "stream",
"text": [
"[21.08426608]\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/noah/.local/lib/python3.10/site-packages/sklearn/base.py:420: UserWarning: X does not have valid feature names, but LinearRegression was fitted with feature names\n",
" warnings.warn(\n"
]
}
],
"source": [
"# c.\n",
"housing_lm_pred = housing_lm.predict([[0, 0.1, 6]])\n",
"print(housing_lm_pred)\n",
"\n",
"# Since no other samples exist for this data point, no residual error is able to be obtained."
]
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",
"text/plain": [
"<Figure size 1100x700 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# d.\n",
"# i.\n",
"corr = housing_df.corr()\n",
"fig, ax = plt.subplots()\n",
"fig.set_size_inches(11, 7)\n",
"sns.heatmap(corr, annot=True, fmt=\".1f\", cmap=\"RdBu\", center=0, ax=ax)"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"# Relationship between INDUS, RAD, and TAX\n",
"RAD and TAX are strongly correlated, measuring at 0.9.\n",
"INDUS and RAD are positively correlated, measuring at 0.6.\n",
"INDUS and TAX is a bit more positively correlated, measuring at 0.7.\n",
"All three of these indicate that they would be measuring the same thing."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# d.\n",
"# ii."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# d.\n",
"# iii."
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"# Problem 6.2\n",
"Tayko Software is a software catalog firm that sells games and educational software. It started out as a software manufacturer and then added third-party titles to its offerings. It recently revised its collection of\n",
"items in a new catalog, which it mailed out to its customers. This mailing yielded 2000 purchases. Based on these data, Tayko wants to devise a model for predicting the spending amount that a purchasing customer will yield. The file Tayko.csv contains information on 2000 purchases. Table 6.12 describes the variables to be used in the problem (the Excel file contains additional variables).\n",
"\n",
"TABLE 6.12 DESCRIPTION OF VARIABLES FOR TAYKO SOFTWARE EXAMPLE\n",
"FREQ Number of transactions in the preceding year\n",
"LAST_UPDATE Number of days since last update to customer record\n",
"WEB Whether customer purchased by Web order at least once\n",
"GENDER Male or female\n",
"ADDRESS_RES Whether it is a residential address\n",
"ADDRESS_US Whether it is a US address\n",
"SPENDING (outcome) Amount spent by customer in test mailing ($)\n",
"\n",
"a. \n",
" Explore the spending amount by creating a pivot table for the categorical variables and computing the average and standard deviation of spending in each category.\n",
"b. \n",
" Explore the relationship between spending and each of the two continuous predictors by creating two scatterplots (Spending vs. Freq, and Spending vs. last_update_days_ago). Does there seem to be a linear relationship?\n",
"c. \n",
" To fit a predictive model for Spending:\n",
" i. Partition the 2000 records into training and validation sets.\n",
" ii. Run a multiple linear regression model for Spending vs. all six predictors. Give the estimated predictive equation.\n",
" iii. Based on this model, what type of purchaser is most likely to spend a large amount of money?\n",
" iv. If we used backward elimination to reduce the number of predictors, which predictor would be dropped first from the model?\n",
" v. Show how the prediction and the prediction error are computed for the first purchase in the validation set.\n",
" vi. Evaluate the predictive accuracy of the model by examining its performance on the validation set.\n",
" vii. Create a histogram of the model residuals. Do they appear to follow a normal distribution? How does this affect the predictive performance of the model?"
]
}
],
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"language": "python",
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