Homework Help is Here – Start Your Trial Now!
Engineering
Computer Science
A) Find good predictors for your regression models in R. Examine the data for these two datasets (In the images attached. I would try to add full datatables in the text but the 5000 character count limits me so I can only provide images of the datatables for braincancer.csv and heart.csv instead, sorry for the inconvenience). For braincancer.csv, predict the status variable (0 – alive, 1 – deceased). For Heart.csv, predict AHD (Acquired Heart Disease, 0 – no, 1 - yes). Use R’s summary function to show you how good your chosen models are. For instance, the default code below is not doing a very good job predicting status; only 1 of the two predictors has minimal statistical significance and the Adjusted R-Squared value is very low. When you have found good predictors, paste the result of the summary output for both datasets as comments in your Python file for part B.   regression.r code:   regression1 <- lm(formula = status ~ ki + gtv, data = BrainCancer) summary(regression1)

A) Find good predictors for your regression models in R. Examine the data for these two datasets (In the images attached. I would try to add full datatables in the text but the 5000 character count limits me so I can only provide images of the datatables for braincancer.csv and heart.csv instead, sorry for the inconvenience). For braincancer.csv, predict the status variable (0 – alive, 1 – deceased). For Heart.csv, predict AHD (Acquired Heart Disease, 0 – no, 1 - yes). Use R’s summary function to show you how good your chosen models are. For instance, the default code below is not doing a very good job predicting status; only 1 of the two predictors has minimal statistical significance and the Adjusted R-Squared value is very low. When you have found good predictors, paste the result of the summary output for both datasets as comments in your Python file for part B.   regression.r code:   regression1 <- lm(formula = status ~ ki + gtv, data = BrainCancer) summary(regression1)

Database System Concepts
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
See similar textbooks
icon
Related questions
Question
100%

A) Find good predictors for your regression models in R.

Examine the data for these two datasets (In the images attached. I would try to add full datatables in the text but the 5000 character count limits me so I can only provide images of the datatables for braincancer.csv and heart.csv instead, sorry for the inconvenience). For braincancer.csv, predict the status variable (0 – alive, 1 – deceased). For Heart.csv, predict AHD (Acquired Heart Disease, 0 – no, 1 - yes).

Use R’s summary function to show you how good your chosen models are. For instance, the default code below is not doing a very good job predicting status; only 1 of the two predictors has minimal statistical significance and the Adjusted R-Squared value is very low. When you have found good predictors, paste the result of the summary output for both datasets as comments in your Python file for part B.

 
regression.r code:
 
regression1 <- lm(formula = status ~ ki + gtv, data = BrainCancer)
summary(regression1)
 
 
B) Make some modifications to the Python code provided to get one of your developed models working with scikit-learn. Modify the Python code such that you can train one of your selected regression models in scikit-learn.
 
Python Code: 
 
import io, os, sys

 

import matplotlib.pyplot as plt
import numpy as np

 

from sklearn import linear_model
from sklearn.metrics import mean_squared_error, r2_score

 

healthData_X = []
healthData_Y = []

 

lnSkip = 2

 

with open(os.path.join(os.path.dirname(sys.argv[0]) + "\\Heart.csv")) as file:
forlineinfile:
iflnSkip==0:
ln=line.rstrip().split(",")
#ln[i] gives you the columns, 0 means the first column, 1 means the second, etc.
ln_data_X= [float(ln[0]), float(ln[1])]
ln_data_y= [float(ln[2])]
print(ln_data_X)
print(ln_data_y)
healthData_X.append(ln_data_X)
healthData_Y.append(ln_data_y)
else:
lnSkip=lnSkip-1

 

# Split the data into training/testing sets
healthData_X_train = healthData_X[:-20]
healthData_X_test = healthData_X[-20:]

 

# Split the targets into training/testing sets
healthData_y_train = healthData_Y[:-20]
healthData_y_test = healthData_Y[-20:]

 

print(len(healthData_X_train))
print(len(healthData_X_test))



# Create linear regression object
regr = linear_model.LinearRegression()

 

# Train the model using the training sets
regr.fit(healthData_X_train, healthData_y_train)

 

# Make predictions using the testing set
credit_y_pred = regr.predict(healthData_X_test)

 

# The coefficients
print("Coefficients: \n", regr.coef_)
# The mean squared error
print("Mean squared error: %.2f" % mean_squared_error(healthData_y_test, credit_y_pred))
# The coefficient of determination: 1 is perfect prediction
print("Coefficient of determination: %.2f" % r2_score(healthData_y_test, credit_y_pred))
sex diagnosis loc BrainCancer ki gtv stereo status time Infratentorial 90 6.11 SRS 57.64 Supratentorial 90 19.35 SRT Infratentorial 70 7.95 SRS Supratentorial 80 7.61 SRT Supratentorial 90 5.06 SRT Supratentorial 80 4.82 SRS 1 Female Meningioma 2 Male HG glioma 3 Female Meningioma 4 Female LG glioma 5 Male HG glioma 6 Female Meningioma 7 Male Meningioma Supratentorial 80 3.19 SRT 8 Male 9 Female 10 Male 11 Male LG glioma Meningioma HG glioma LG glioma 12 Female Meningioma 13 Female Meningioma 14 Male ΝΑ 15 Female Meningioma 16 Female HG glioma 17 Female Other Supratentorial 80 12.37 SRT Supratentorial 70 12.16 SRT Supratentorial 100 2.53 SRT Supratentorial 80 0.14 SRT Infratentorial 90 6.54 SRS Infratentorial 90 0.63 SRS Supratentorial 90 6.38 SRT Supratentorial 60 9.18 SRT Supratentorial 70 11.38 SRS Infratentorial 60 24 SRT HG glioma Supratentorial 90 10.8 SRT 19 Male Meningioma Supratentorial 80 13.49 SRS 20 Female Meningioma Supratentorial 90 2.5 SRT 21 Female Meningioma 22 Male HG glioma 23 Female Other 24 Female Meningioma 25 Female Meningioma 26 Male LG glioma Other 18 Male 27 Male Supratentorial 80 2.82 SRS Supratentorial 70 14.44 SRT Infratentorial 80 2.11 SRS Infratentorial 100 2.13 SRS Supratentorial 70 6.48 SRT Supratentorial 90 4.23 SRT Supratentorial 60 34.64 SRT 28 Male HG glioma Supratentorial 70 33.69 SRT 29 Male Meningioma Supratentorial 60 3.81 SRT 30 Female Meningioma Supratentorial 90 4.72 SRS 31 Female LG glioma Supratentorial 80 0.85 SRS 32 Male Meningioma Supratentorial 90 2.56 SRS Infratentorial 70 13.45 SRT Infratentorial 80 6.81 SRS 35 Female Meningioma Supratentorial 90 7.3 SRT 36 Female Other 33 Female Other 34 Male Other Supratentorial 70 14.26 SRT 38 Male 39 Male HG glioma Other 37 Female Meningioma Supratentorial 80 6.6 SRT Supratentorial 90 9.95 SRT Infratentorial 80 12.51 SRT 40 Female Meningioma Supratentorial 90 2.54 SRT 41 Female Meningioma Supratentorial 80 1.57 SRT 42 Male HG glioma Supratentorial 90 43 Female Meningioma Supratentorial 70 44 Male Meningioma Supratentorial 80 12.63 SRT 45 Male Other 0.28 SRT 6.7 SRT Infratentorial 90 3.12 SRT 60 7.09 SRS 46 Male Meningioma Supratentorial 0 1 0 1 1 0 0 52.75 55.8 42.1 0 34.66 0 11.48 1 35.93 0 34.26 0 32.98 0 50.85 0 41.44 1 7.05 1 6.82 0 82.56 1 6.92 0 30.16 24.39 0 1 0 1 0 8.98 26.46 47.8 6.3 1 14 10.49 51.02 1 33.41 1 25.02 1 11.57 1 0 1 0 1 0.07 0 36.1 0 65.02 6.1 44.39 10.82 57.11 5.51 0 7.18 0 0 14.75 6.23 1 29.7 0 45.74 0 2.03 1 16.43 0 14.56 1 4.16 0 18.95 1 31.25 Supratentorial 80 29.27 SRT 47 Male HG glioma 48 Female Meningioma Supratentorial 80 26.31 SRT 0.97 SRT 0.19 SRS 51 Female HG glioma 52 Female Meningioma 53 Male HG glioma 54 Male Meningioma 55 Female HG glioma Other 56 Male 57 Male 49 Male Meningioma Supratentorial 70 50 Female LG glioma Supratentorial 80 Supratentorial 90 0.04 SRT Infratentorial 90 9.24 SRT Supratentorial 90 2.5 SRT Infratentorial 80 24.41 SRT Supratentorial 80 0.63 SRT Infratentorial 90 0.48 SRS Infratentorial 80 0.22 SRS Supratentorial 80 3.75 SRT Supratentorial 80 11.83 SRT 60 Female Meningioma Supratentorial 90 2.47 SRT 61 Female HG glioma Supratentorial 80 12.08 SRT 62 Male Meningioma Supratentorial 80 11.51 SRT 63 Female HG glioma Supratentorial 40 22.87 SRT 64 Male Meningioma Supratentorial 80 4.77 SRT 65 Male LG glioma Supratentorial 80 9.58 SRT 66 Female Meningioma Supratentorial 100 4 SRT 67 Female HG glioma Supratentorial 80 7.59 SRT 0.01 SRS 6.93 SRS 58 Male 59 Female 74 Female 75 Male Other 68 Male Other Infratentorial 70 69 Female Meningioma Supratentorial 80 70 Female Meningioma Supratentorial 70 3.63 SRT 71 Male Meningioma Supratentorial 70 8.45 SRT 72 Male Meningioma Supratentorial 80 20.93 SRT 73 Male LG glioma Supratentorial 90 2.64 SRT HG glioma Supratentorial 80 0.19 SRT Supratentorial 100 24.91 SRT 76 Female Meningioma Supratentorial 80 31.74 SRT 77 Female Meningioma Supratentorial 80 2.39 SRS 78 Female Meningioma Supratentorial 90 7.26 SRT 79 Female Meningioma Supratentorial 100 9.66 SRT 80 Female Meningioma Infratentorial 70 2.94 SRS 81 Female HG glioma Supratentorial 80 15.45 SRT 82 Female Other Supratentorial 90 1.82 SRT LG glioma Infratentorial 90 30.41 SRT HG glioma Supratentorial 80 0.16 SRT HG glioma Supratentorial 80 19.81 SRT Meningioma Supratentorial 90 2.5 SRT Meningioma Supratentorial 90 2.02 SRS Other Infratentorial 80 83 Male 84 Male 85 Male 86 Male 87 Male 88 Male 0.11 SRT HG glioma HG glioma Other 0 5.15 1 39.54 1 1.41 0 11.51 0 31.67 0 26.85 1 9.77 0 39.54 1 16.92 0 54.43 0 33.67 1 19.9 1 22.03 0 17.57 1 7.25 1 14.62 1 3.38 0 67.38 0 78.75 0 52.23 1 4.56 0 23.67 0 10.1 0 32.82 0 19.41 1 31.15 0 20.13 1 11.02 0 19.74 0 57.25 0 73.74 0 49.05 0 39.25 0 1.54 1 46.16 0 47.11 0 1.18 1 20.69 6.39 0 32.82 0 42.07 0 13.9 1
Transcribed Image Text:sex diagnosis loc BrainCancer ki gtv stereo status time Infratentorial 90 6.11 SRS 57.64 Supratentorial 90 19.35 SRT Infratentorial 70 7.95 SRS Supratentorial 80 7.61 SRT Supratentorial 90 5.06 SRT Supratentorial 80 4.82 SRS 1 Female Meningioma 2 Male HG glioma 3 Female Meningioma 4 Female LG glioma 5 Male HG glioma 6 Female Meningioma 7 Male Meningioma Supratentorial 80 3.19 SRT 8 Male 9 Female 10 Male 11 Male LG glioma Meningioma HG glioma LG glioma 12 Female Meningioma 13 Female Meningioma 14 Male ΝΑ 15 Female Meningioma 16 Female HG glioma 17 Female Other Supratentorial 80 12.37 SRT Supratentorial 70 12.16 SRT Supratentorial 100 2.53 SRT Supratentorial 80 0.14 SRT Infratentorial 90 6.54 SRS Infratentorial 90 0.63 SRS Supratentorial 90 6.38 SRT Supratentorial 60 9.18 SRT Supratentorial 70 11.38 SRS Infratentorial 60 24 SRT HG glioma Supratentorial 90 10.8 SRT 19 Male Meningioma Supratentorial 80 13.49 SRS 20 Female Meningioma Supratentorial 90 2.5 SRT 21 Female Meningioma 22 Male HG glioma 23 Female Other 24 Female Meningioma 25 Female Meningioma 26 Male LG glioma Other 18 Male 27 Male Supratentorial 80 2.82 SRS Supratentorial 70 14.44 SRT Infratentorial 80 2.11 SRS Infratentorial 100 2.13 SRS Supratentorial 70 6.48 SRT Supratentorial 90 4.23 SRT Supratentorial 60 34.64 SRT 28 Male HG glioma Supratentorial 70 33.69 SRT 29 Male Meningioma Supratentorial 60 3.81 SRT 30 Female Meningioma Supratentorial 90 4.72 SRS 31 Female LG glioma Supratentorial 80 0.85 SRS 32 Male Meningioma Supratentorial 90 2.56 SRS Infratentorial 70 13.45 SRT Infratentorial 80 6.81 SRS 35 Female Meningioma Supratentorial 90 7.3 SRT 36 Female Other 33 Female Other 34 Male Other Supratentorial 70 14.26 SRT 38 Male 39 Male HG glioma Other 37 Female Meningioma Supratentorial 80 6.6 SRT Supratentorial 90 9.95 SRT Infratentorial 80 12.51 SRT 40 Female Meningioma Supratentorial 90 2.54 SRT 41 Female Meningioma Supratentorial 80 1.57 SRT 42 Male HG glioma Supratentorial 90 43 Female Meningioma Supratentorial 70 44 Male Meningioma Supratentorial 80 12.63 SRT 45 Male Other 0.28 SRT 6.7 SRT Infratentorial 90 3.12 SRT 60 7.09 SRS 46 Male Meningioma Supratentorial 0 1 0 1 1 0 0 52.75 55.8 42.1 0 34.66 0 11.48 1 35.93 0 34.26 0 32.98 0 50.85 0 41.44 1 7.05 1 6.82 0 82.56 1 6.92 0 30.16 24.39 0 1 0 1 0 8.98 26.46 47.8 6.3 1 14 10.49 51.02 1 33.41 1 25.02 1 11.57 1 0 1 0 1 0.07 0 36.1 0 65.02 6.1 44.39 10.82 57.11 5.51 0 7.18 0 0 14.75 6.23 1 29.7 0 45.74 0 2.03 1 16.43 0 14.56 1 4.16 0 18.95 1 31.25 Supratentorial 80 29.27 SRT 47 Male HG glioma 48 Female Meningioma Supratentorial 80 26.31 SRT 0.97 SRT 0.19 SRS 51 Female HG glioma 52 Female Meningioma 53 Male HG glioma 54 Male Meningioma 55 Female HG glioma Other 56 Male 57 Male 49 Male Meningioma Supratentorial 70 50 Female LG glioma Supratentorial 80 Supratentorial 90 0.04 SRT Infratentorial 90 9.24 SRT Supratentorial 90 2.5 SRT Infratentorial 80 24.41 SRT Supratentorial 80 0.63 SRT Infratentorial 90 0.48 SRS Infratentorial 80 0.22 SRS Supratentorial 80 3.75 SRT Supratentorial 80 11.83 SRT 60 Female Meningioma Supratentorial 90 2.47 SRT 61 Female HG glioma Supratentorial 80 12.08 SRT 62 Male Meningioma Supratentorial 80 11.51 SRT 63 Female HG glioma Supratentorial 40 22.87 SRT 64 Male Meningioma Supratentorial 80 4.77 SRT 65 Male LG glioma Supratentorial 80 9.58 SRT 66 Female Meningioma Supratentorial 100 4 SRT 67 Female HG glioma Supratentorial 80 7.59 SRT 0.01 SRS 6.93 SRS 58 Male 59 Female 74 Female 75 Male Other 68 Male Other Infratentorial 70 69 Female Meningioma Supratentorial 80 70 Female Meningioma Supratentorial 70 3.63 SRT 71 Male Meningioma Supratentorial 70 8.45 SRT 72 Male Meningioma Supratentorial 80 20.93 SRT 73 Male LG glioma Supratentorial 90 2.64 SRT HG glioma Supratentorial 80 0.19 SRT Supratentorial 100 24.91 SRT 76 Female Meningioma Supratentorial 80 31.74 SRT 77 Female Meningioma Supratentorial 80 2.39 SRS 78 Female Meningioma Supratentorial 90 7.26 SRT 79 Female Meningioma Supratentorial 100 9.66 SRT 80 Female Meningioma Infratentorial 70 2.94 SRS 81 Female HG glioma Supratentorial 80 15.45 SRT 82 Female Other Supratentorial 90 1.82 SRT LG glioma Infratentorial 90 30.41 SRT HG glioma Supratentorial 80 0.16 SRT HG glioma Supratentorial 80 19.81 SRT Meningioma Supratentorial 90 2.5 SRT Meningioma Supratentorial 90 2.02 SRS Other Infratentorial 80 83 Male 84 Male 85 Male 86 Male 87 Male 88 Male 0.11 SRT HG glioma HG glioma Other 0 5.15 1 39.54 1 1.41 0 11.51 0 31.67 0 26.85 1 9.77 0 39.54 1 16.92 0 54.43 0 33.67 1 19.9 1 22.03 0 17.57 1 7.25 1 14.62 1 3.38 0 67.38 0 78.75 0 52.23 1 4.56 0 23.67 0 10.1 0 32.82 0 19.41 1 31.15 0 20.13 1 11.02 0 19.74 0 57.25 0 73.74 0 49.05 0 39.25 0 1.54 1 46.16 0 47.11 0 1.18 1 20.69 6.39 0 32.82 0 42.07 0 13.9 1
1 2 3 4 5 6 Age Sex ChestPain RestBP Chol Fbs RestECG MaxHR ExAng Oldpeak Slope Ca Thal 145 233 1 63 1 typical 150 3 0 fixed 67 160 286 0 108 2 1 asymptomatic 67 1 asymptomatic 120 229 0 2 129 37 1 nonanginal 130 250 0 187 41 0 nontypical 130 204 0 172 56 1 nontypical 120 236 0 178 7 62 0 asymptomatic 140 268 0 160 8 57 0 asymptomatic 120 354 0 163 9 63 147 1 asymptomatic 130 254 0 10 53 1 asymptomatic 140 203 1 155 11 57 1 asymptomatic 140 192 0 148 12 56 0 nontypical 140 294 153 13 56 142 1 nonanginal 130 256 1 14 44 1 nontypical 120 263 0 173 15 52 1 nonanginal 172 199 1 162 16 57 1 nonanginal 150 168 174 17 48 1 nontypical 168 18 54 1 asymptomatic 160 19 48 0 nonanginal 139 20 49 1 nontypical 171 21 64 1 typical 22 58 0 typical 23 58 1 nontypical 24 58 1 nonanginal 25 60 1 asymptomatic 26 50 0 nonanginal 27 58 0 nonanginal 28 66 0 typical 29 43 1 asymptomatic 30 40 1 asymptomatic 31 69 0 typical 32 60 33 64 34 59 35 44 36 42 37 43 38 57 39 55 40 61 41 65 42 40 43 71 44 59 45 61 46 58 47 51 48 50 49 65 50 53 51 41 52 65 53 44 54 44 55 56 1 nonanginal 1 asymptomatic 0 nonanginal 1 nonanginal 0 nontypical 1 asymptomatic 1 asymptomatic 1 nontypical 1 asymptomatic 1 asymptomatic 1 nonanginal 1 asymptomatic 1 nonanginal 1 typical 0 asymptomatic 0 nonanginal 1 asymptomatic 0 nonanginal 1 asymptomatic 1 asymptomatic 1 nonanginal 1 nonanginal 1 asymptomatic 70 46 1 nonanginal 71 65 0 nonanginal 72 67 73 62 74 65 75 44 76 65 77 60 1 asymptomatic 78 51 0 nonanginal 79 48 1 nontypical 80 58 1 asymptomatic 81 45 1 asymptomatic 82 53 0 asymptomatic 83 39 1 nonanginal 84 68 1 nonanginal 85 52 1 nontypical 86 44 1 nonanginal 87 47 1 nonanginal 88 53 0 nonanginal 89 53 90 51 91 66 92 62 93 60 54 57 50 58 41 59 54 60 51 61 51 62 46 63 58 64 54 65 54 66 60 67 60 68 54 69 59 1 asymptomatic 1 nonanginal 1 asymptomatic 1 nonanginal 1 asymptomatic 1 asymptomatic 1 asymptomatic 1 asymptomatic 1 nonanginal 0 asymptomatic 1 typical 0 nontypical 1 nonanginal 0 asymptomatic 1 nonanginal 94 1 asymptomatic 1 asymptomatic 1 asymptomatic 1 asymptomatic 0 nonanginal 0 asymptomatic 0 nonanginal 1 asymptomatic 0 asymptomatic 62 1 nonanginal 44 0 nonanginal 110 229 140 239 130 275 130 266 110 211 0 140 235 oooooo. 138 257 0 0 0 0 0 150 283 1 120 284 0 132 224 0 130 206 0 120 219 0 120 340 0 150 226 0 150 247 0 110 167 0 140 239 117 230 140 335 135 234 130 233 140 226 120 177 150 276 132 353 150 243 150 225 140 199 160 302 150 212 130 330 112 230 0 0 1 oooooooooo 0 0 0 0 0 0 0 1 0 0 0 110 175 0 150 243 0 140 417 1 130 197 1 105 198 0 120 177 0 112 290 0 130 219 0 130 253 0 124 266 0 140 233 110 172 125 273 125 213 0 130 305 0 142 177 0 128 216 0 135 304 1 120 188 0 145 282 140 185 150 232 170 326 150 231 0 155 269 0 125 254 1 120 267 0 110 248 0 110 197 0 160 360 0 125 258 0 140 308 130 245 0 150 270 0 104 208 0 130 264 0 140 321 0 180 274 1 120 325 TOO 0 0 0 0 0 0 0 0 0 OOOC 0 0 128 216 0 138 234 0 130 256 0 120 302 0 160 164 130 231 108 141 DOO 0 Heart 0 2 2 2 0 2 0 2 0 2 2 0 2 2 0 0 0 0 0 0 0 2 2 2 2 2 0 0 0 0 2 Oooo 0 0 0 2 2 0 0 2 0 0 0 2 2 0 2 2 2 0 0 2 2 0 2 0 2 2 2 0 2 2 0 0 2 2 2 2 0 0 0 0 2 2 2 2 2 2 2 2 2 2 2 0 2 2 2 2 2 2 2 0 0 144 162 160 173 132 158 172 114 171 114 151 160 158 161 179 178 120 112 132 137 114 178 162 157 169 165 123 128 157 152 168 140 153 188 144 109 163 158 152 125 142 160 131 170 113 142 155 165 140 147 148 163 99 158 177 151 141 142 180 111 148 143 182 150 172 180 156 115 160 149 151 145 146 175 0 1 1 0 0 0 0 1 0 1 0 0 1 0 0 0 0 0 0 0 1 0 0 0 1 OC 0 0 0 0 1 0 1 0 0 1 0 1 1 1 1 0 1 0 0 0 0 0 0 0 0 0 oooo 0 0 0 1 1 0 0 0 1 1 1 1 0 0 1 0 0 1 0 0 0 1 OC 0 0 0 1 0 0 1 1 0 0 1 0 0 0 0 0 0 0 0 0 c 0 2.3 1.5 2.6 3.5 1.4 0.8 3.6 0.6 1.4 3.1 0.4 1.3 0.6 0 0.5 1.6 1 1.2 0.2 0.6 1.8 1 1.8 3.2 2.4 1.6 0 2.6 1.5 2 1.8 A 1.4 0 0.5 0.4 0 2.5 0.6 1.2 1 1 1.4 0.4 1.6 0 br 2.5 0.6 2.6 0.8 1.2 0 0.4 0 0 1.4 2.2 0.6 0 0.5 1.4 1.2 1.4 2.2 0 1.4 2.8 3 1.6 3.4 3.6 0.8 0.2 1.8 0.6 0 0.8 2.8 1.5 0.2 0.8 3 0.4 0 1.6 0.2 0 DOO C 0 0 0.5 0.4 6.2 1.8 0.6 3 normal 2 reversable 0 normal 0 normal 0 normal 2 normal 0 normal 1 reversable 0 reversable 0 fixed 0 normal 1 fixed 0 reversable 0 reversable 0 normal 0 reversable 0 normal 0 normal 0 normal 0 normal 0 normal 2 0 normal 1 2 reversable 2 2 reversable 2 0 normal 1 0 normal 3 0 normal 1 0 normal 2 0 reversable 1 2 normal 1 2 reversable 1 0 normal 2 0 reversable 1 0 normal 1 0 normal 2 2 2 2 2 1 1 1 1 2 1 1 3 1 2 2 2 2 1 1 1 3 1 1 1 2 o 0 reversable 1 fixed 1 reversable 0 normal 3 reversable 0 reversable 2 normal 0 normal 0 normal 1 reversable 1 0 normal 0 reversable 1 2 1 1 normal 3 0 normal 1 1 normal 1 0 reversable 1 1 normal 1 0 normal 1 1 reversable 2 1 reversable 2 1 reversable 1 0 reversable 3 1 normal 1 1 normal 2 0 reversable 3 0 normal 2 3 reversable 1 0 normal 2 1 reversable 2 2 reversable 2 0 normal 1 0 reversable 3 0 reversable 2 0 normal 1 0 normal 2 2 reversable 2 2 reversable 1 2 fixed 1 1 2 1 1 1 normal 2 0 normal 1 1 normal 0 normal reversable 0 reversable 2 0 normal 2 0 normal 1 0 normal 2 0 reversable 1 1 1 1 Ο 0 normal 0 normal 0 normal ΝΑ 0 normal 1 0 normal 2 0 normal 3 3 reversable 2 3 reversable 2 0 normal AHD 0 1 1 0 0 0 1 0 1 1 0 0 1 0 0 0 1 0 0 0 0 0 1 1 1 0 0 0 0 1 0 1 1 0 0 0 1 1 1 0 1 0 0 0 1 1 0 1 0 0 0 0 1 0 1 1 1 1 0 0 1 0 1 0 1 1 1 0 1 1 0 1 1 1 1 0 1 0 0 1 0 0 0 1 0 0 0 0 0 0 0 1 0 0 95 96 97 98 99 100 48 101 45 102 34 103 57 104 71 105 49 106 54 107 59 108 57 109 61 110 39 111 61 112 56 113 52 114 43 115 62 116 41 117 58 118 35 119 63 63 52 59 60 52 120 65 121 48 122 63 123 51 124 55 125 65 126 45 127 56 128 54 129 44 130 62 131 54 132 51 133 29 134 51 135 43 136 55 137 70 138 62 139 35 140 51 141 59 142 59 143 52 144 64 145 58 146 47 147 57 148 41 149 45 150 60 151 52 152 42 153 67 154 55 155 64 156 70 157 51 158 58 159 60 160 68 161 46 162 77 163 54 164 58 165 48 166 57 167 52 168 54 169 35 170 45 171 70 172 53 173 59 174 62 175 64 17€ 57 177 52 178 56 179 43 180 53 181 48 182 56 183 42 184 59 185 60 186 63 187 42 188 66 189 54 190 69 0 nonanginal 1 asymptomatic 1 asymptomatic 0 asymptomatic 1 nontypical 1 asymptomatic 1 asymptomatic 1 typical 0 asymptomatic 0 nonanginal 1 nonanginal 1 nontypical 1 asymptomatic 1 nonanginal 1 asymptomatic 1 asymptomatic 0 asymptomatic 1 asymptomatic 1 typical 0 asymptomatic 0 nonanginal 1 nontypical 1 nonanginal 0 asymptomatic 1 asymptomatic 1 asymptomatic 1 asymptomatic 0 asymptomatic 1 nonanginal 1 asymptomatic 1 typical 0 nontypical 0 asymptomatic 1 asymptomatic 1 nontypical 0 asymptomatic 1 nonanginal 1 nonanginal 1 nontypical 1 asymptomatic 0 nonanginal 0 nontypical 1 asymptomatic 1 nontypical 1 asymptomatic 1 nonanginal 1 nontypical 1 typical 1 nontypical 1 nonanginal 1 nonanginal 1 nonanginal 1 asymptomatic 1 nonanginal 1 nontypical 0 nonanginal 1 typical 0 asymptomatic 0 nonanginal 1 asymptomatic 1 asymptomatic 1 asymptomatic 1 asymptomatic 1 asymptomatic 1 asymptomatic 1 nonanginal 1 nontypical 1 asymptomatic 0 nonanginal 0 asymptomatic 1 nonanginal 1 asymptomatic 1 nonanginal 0 nontypical 1 asymptomatic 0 nontypical 1 nonanginal 1 asymptomatic 0 asymptomatic 0 asymptomatic 1 asymptomatic 1 asymptomatic 1 asymptomatic 1 asymptomatic 1 nonanginal 1 nonanginal 135 252 0 128 255 110 239 150 258 134 122 222 201 115 260 118 182 oooooooo 0 1 asymptomatic 124 274 0 asymptomatic 134 409 1 typical 148 244 1 typical 178 270 0 asymptomatic 158 305 0 nontypical 140 195 1 nonanginal 120 240 1 nontypical 160 246 1 nontypical 192 283 1 nonanginal 140 254 0 0 0 128 303 110 265 1 120 188 0 108 309 0 140 177 128 229 120 260 118 219 145 307 125 249 118 186 132 341 1 130 263 0 135 203 0 140 211 1 138 183 0 130 330 1 135 254 0 1 130 256 150 407 100 222 140 217 138 282 130 234 200 288 110 239 120 220 124 209 120 258 94 227 130 204 140 261 122 213 135 250 145 174 120 281 120 198 125 245 140 221 170 288 0 0 0 0 ܘ ܘ | ܕ 1 0 ooo 0 0 0 1 0 1 0 OOO OO 0 0 0 OOOOOOO 128 205 125 309 105 240 108 243 165 289 112 250 128 308 102 318 152 298 102 265 115 564 160 289 120 246 130 322 140 299 125 300 140 293 118 277 101 197 125 304 110 214 100 248 124 255 132 207 138 223 132 288 1 126 282 0 112 160 0 160 269 142 226 174 249 140 394 0 0 145 212 152 274 0 1 108 233 132 184 0 130 315 0 130 246 1 1 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 ooooooooo NON NON ~ ~ ~ NOOONO 2 0 2 2 0 2 2 2 2 2 2 0 0 2 2 2 2 0 0 2 ON N N NON 0 2 2 2 2 0 2 2 2 ON 0 o o a 0 2 0 2 NON N 2 2 0 2 0 2 0 2 0 0 2 ONONOO 0 N N N N N ON NOONONOO ON NOON ON NOON ON 2 2 2 2 2 2 2 0 2 0 0 2 2 2 2 0 2 2 2 2 N NOOON N N N 2 2 2 0 0 2 2 172 161 142 157 158 186 185 174 159 130 139 156 162 150 140 140 146 144 190 136 97 132 165 182 132 127 150 154 143 111 174 175 133 126 170 163 147 154 202 186 165 161 125 103 130 166 164 159 184 131 154 152 124 179 170 160 178 122 160 145 96 109 173 171 170 151 156 162 158 122 175 168 169 159 156 138 112 111 143 157 132 88 147 105 162 173 166 150 178 145 161 179 194 120 195 146 0 TTO o oc 1 0 0 0 0 0 0 0 0 0 1 0 1 0 1 1 ·OOOoo T 0 1 0 0 0 1 0 1 1 0 0 1 1 0 ₂ c 0 0 1 0 1 0 o 0 1 0 1 0 1 0 0 1 1 0 0 0 0 0 0 0 0 1 1 - Or 0 1 oooo 0 0 0 0 1 -oo 0 0 0 1 0 1 1 0 1 1 1 OOT OTO oo 0 0 1 0 1 0 0 0 1 TOO OOO TOO 0 0 1 0 0 0 0 1.2 2.6 0.8 0 0 0 0 0 2 0 0 0.4 3.6 1.2 1 1.2 0 3 1.2 0 0 1.4 1.8 2.8 0 4 1.2 5.6 1.4 0.6 4 2.8 0 0 0.4 0 0 0 0.2 1.4 2.6 1.4 1.6 2.4 0 0.2 0 1.8 0.6 0 1 0 0 0 1.2 0.6 1.6 0.8 2.2 2.4 1.6 0 1.2 1 0 0 1.6 1 0 0 0 0 0 0 2.9 0 0 1.2 2 1.2 0.1 2.1 1.9 0 0.5 1.9 0.8 4.2 0 0 0.8 0 0 2 1 1 2 2 1 1 1 1 1 1 2 1 1 2 2 2 2 2 2 2 2 2 1 1 1 2 1 2 2 3 2 2 3 2 1 1 2 1 1 1 2 2 3 2 2 2 1 2 1 2 0 normal 1 reversable 1 reversable 2 reversable 1 normal 2 1 1 0 normal 0 normal 0 normal 1 normal 1 normal 3 reversable 0 reversable 1 reversable 1 reversable 1 reversable 0 reversable 0 reversable 1 normal 0 fixed 0 reversable 1 reversable 0 fixed 0 normal 0 normal 3 reversable 1 reversable 2 reversable 3 reversable 0 normal 0 reversable 1 normal 0 normal 2 reversable 1 reversable 0 normal 0 normal 0 reversable 1 reversable 0 normal 0 normal 0 normal 0 normal 0 reversable 1 reversable 0 reversable 0 normal 0 normal 0 reversable 0 normal 0 reversable 0 reversable 2 1 0 normal 2 3 reversable 1 0 normal 1 0 normal 1 1 normal 2 0 reversable 2 0 normal 2 0 reversable 2 1 reversable 3 1 normal 2 3 normal 1 0 reversable 1 2 reversable 2 reversable 1 reversable 0 reversable 3 1 normal 2 0 normal 2 0 normal 1 2 normal 1 0 reversable 1 NA normal 1 1 normal 0 reversable 0 normal 1 2 2 1 2 2 2 2 1 3 reversable 2 1 fixed 1 1 normal 1 3 normal 2 0 reversable 2 2 reversable 1 2 normal 3 0 reversable 1 0 normal 1 2 normal 3 0 reversable 2 3 fixed 1 2 1 reversable 0 reversable 0 normal 0 normal 2 fixed 1 reversable 1 reversable 3 reversable 0 1 1 1 0 0 0 1000 0 0 0 1 0 1 1 1 1 1 1 0 1 1 0 0 0 1 1 ..... 1 1 1 1 0 0 0 0 0 0 0 0 1 1 1 0 0 1 0 1 0 1 1 0 0 0 0 0 0 1 1 1 1 1 1 0 0 1 0 0 1 0 1 0 1 0 1 1 0 1 0 0 1 1 0 0 1 0 0 1 1 1 191 50 192 51 193 43 194 62 195 68 196 67 197 69 198 45 199 50 200 59 201 50 202 64 203 57 204 64 205 43 206 45 207 58 208 50 209 55 210 62 211 37 212 38 213 41 214 66 215 52 216 56 217 46 218 46 219 64 220 59 221 41 222 54 223 39 224 53 225 226 34 J 63 227 47 228 67 229 54 230 66 231 52 232 55 233 49 234 74 235 54 236 54 237 56 238 46 239 49 240 42 241 41 242 41 243 49 244 61 245 60 246 67 247 58 248 47 249 52 250 62 251 57 252 58 253 64 254 51 255 43 42 n 1 nonanginal 1 asymptomatic 1 asymptomatic 0 asymptomatic 0 nonanginal 58 1 asymptomatic 1 typical 0 asymptomatic 0 nontypical 1 typical 0 asymptomatic 0 asymptomatic 1 nonanginal 0 nonanginal 1 asymptomatic 1 asymptomatic 1 asymptomatic 1 asymptomatic 1 nontypical 0 asymptomatic 0 nonanginal 1 typical 1 nonanginal 0 asymptomatic 1 asymptomatic 1 typical 0 nontypical 0 asymptomatic 0 asymptomatic 1 asymptomatic 0 nonanginal 0 nonanginal 0 nonanginal 1 asymptomatic 0 asymptomatic 0 nontypical 1 asymptomatic 0 nonanginal 1 asymptomatic 1 asymptomatic 0 nonanginal 0 asymptomatic 1 nonanginal 0 nontypical 0 nonanginal 1 asymptomatic 1 asymptomatic 1 asymptomatic 0 nontypical 1 nontypical 1 nontypical 0 nontypical 0 asymptomatic 1 typical 0 nonanginal 1 asymptomatic 1 asymptomatic 1 asymptomatic 1 asymptomatic nontypical 1 asymptomatic 1 asymptomatic 1 asymptomatic 0 nonanginal 1 asymptomatic 0 nonanginal 0 asymptomatic 0 nonanginal 1 nontypical 1 nontypical 0 nonanginal 0 nontypical 0 typical 1 nonanginal 1 asymptomatic 1 asymptomatic 1 asymptomatic 1 nonanginal 256 257 67 258 76 259 70 260 57 261 44 262 58 263 60 264 44 265 61 266 42 267 52 268 59 269 40 270 42 271 61 272 66 273 46 274 71 275 59 276 64 1 typical 277 66 0 nonanginal 278 39 0 nonanginal 279 57 1 nontypical 280 58 0 asymptomatic 281 57 1 asymptomatic 282 47 1 nonanginal 283 55 0 asymptomatic 284 35 1 nontypical 285 61 1 asymptomatic 286 58 1 asymptomatic 287 0 asymptomatic 288 58 1 nontypical 289 56 1 nontypical 290 56 1 nontypical 291 67 1 nonanginal 292 55 0 nontypical 293 44 1 asymptomatic 294 63 1 asymptomatic 295 63 0 asymptomatic 296 41 1 nontypical 297 59 1 asymptomatic 298 57 0 asymptomatic 299 45 1 typical 300 68 1 asymptomatic 301 57 1 asymptomatic 302 57 0 nontypical 303 38 1 nonanginal 1 asymptomatic 1 nonanginal 1 asymptomatic 1 asymptomatic 1 asymptomatic 0 asymptomatic 1 typical 129 196 0 140 298 0 132 247 138 294 1 1 120 211 0 100 299 0 160 234 1 138 236 0 120 244 160 273 110 254 180 325 150 126 1 ܘ 152 277 110 206 112 212 136 196 180 327 149 118 120 269 160 201 122 286 130 283 120 249 0 ooo. 0 0 0 140 313 110 211 0 142 309 128 259 0 144 200 0 130 262 0 150 244 0 120 215 0 120 231 0 130 214 0 178 228 1 112 230 120 193 105 204 138 243 130 303 138 271 112 268 108 267 94 199 123 282 108 269 118 210 112 204 oooo 0 0 0 0 ooooooooooo 0 0 0 0 0 0 0 0 0 0 OOO TO 0 134 271 0 120 295 0 110 235 ܘ ܘ ܘ 126 306 0 130 269 134 234 120 178 1 120 237 100 234 110 275 125 212 128 208 110 201 146 218 128 263 120 295 115 303 120 209 106 223 140 197 156 245 124 261 118 242 136 319 150 240 120 226 138 166 136 315 128 204 126 218 152 223 130 180 140 207 160 228 140 311 112 149 134 204 170 227 146 278 138 220 154 232 130 197 110 335 130 253 128 205 122 192 148 203 0 114 318 Oo. 0 0 oooOT 0 0 0 0 1 ooo 0 0 0 0 0 0 0 0 0 0 0 1 0 0 o oc 0 0 1 1 0 oooooo 0 0 0 0 0 0 0 0 0 0 0 0 ooooo 0 0 0 170 225 125 220 130 221 120 240 152 212 132 342 120 169 140 187 0 1 0 0 0 0 0 0 124 197 0 120 157 0 164 176 1 140 241 110 264 144 193 1 0 0 130 131 0 130 236 138 175 oc 0 0 0 ONN NOOOONNON NN NONO 2 2 2 2 2 2 2 0 0 2 2 2 0 0 0 0 2 0 NO 2 0 2 0 2 NOOOOOONNN 2 2 0 0 0 0 0 0 2 2 2 1 NNONC 2 0 2 2 2 0 0 OOO 0 0 0 0 0 NO 0 2 0 ON OOONO OOT NOON OO 2 0 0 0 2 0 0 0 1 2 0 0 2 2 0 0 0 O ONN OOONNONOOO TOO. 0 2 2 0 0 2 2 0 2 0 0 1 0 0 1 2 0 2 ON 0 NOON OON OOOO 2 0 0 2 0 2 0 0 0 0 2 To 0 163 122 143 106 115 125 131 152 162 125 159 154 173 133 161 147 130 126 155 154 170 182 168 165 160 162 172 152 122 182 172 167 179 95 169 192 143 172 108 132 169 117 126 121 163 116 103 144 162 162 153 163 163 145 96 71 156 118 168 140 126 105 105 157 181 173 142 116 143 141 149 152 171 169 125 125 156 134 181 150 138 138 120 125 162 155 152 152 164 131 143 179 130 174 161 140 146 144 163 169 150 166 144 144 136 182 90 123 132 141 115 174 173 0 1 1 0 ₂ c 0 1 OTOOor Oc 0 1 0 0 0 1 0 0 0 1 1 1 0 1 0 1 0 1 OOO 0 0 0 1 OOOO Tr 0 0 1 0 0 1 1 ooo 0 0 0 1 1 0 1 0 1 0 1 1 0 0 Oooo 0 0 0 0 0 0 0 0 1 0 0 1 0 1 ooooooooooo 0 0 0 0 0 0 0 0 0 1 1 1 0 0 O O O O O O O O O O TO 0 0 0 0 0 0 1 1 0 0 0 1 0 0 0 0 0 1 1 1 OOTOO 0 0 1 0 0 1 oo 0 0 0 4.2 | | 0.1 1.9 1.5 0.9 0.1 0.2 1.1 0 0 0 0.2 0.2 0 0 3 0.9 0 1.4 0 3.8 2 1 0 1.9 0 0 2 0 0 0 0 2 1.8 0.7 0.1 0 0 0.1 0.1 3.4 0.8 0.2 0 3.2 1.6 0.8 0 0 0 0 0 2.6 0 1 0.1 1 1 0 1.5 2 0.2 0.6 1.2 0 0.3 1.1 0 0.3 0.3 0 0.9 0 3.6 1.8 1 2.2 0 0 1.9 2.3 1.8 1.6 0.8 0.6 0 0 0 0.6 3 0 2 0 0 4.4 2.8 0.4 0 0 0.8 1.2 2.8 4 0 0 1 0.2 1.2 3.4 1.2 0 0 1 2 2 NN 2 3 normal 0 normal 2 normal 1 normal 0 normal 0 normal 0 normal 0 normal 0 normal 1 reversable 0 reversable 0 reversable 3 reversable 2 reversable 0 reversable 2 2 2 2 1 1 1 1 1 1 1 2 2 2 1 2 1 2 2 2 0 normal 0 normal 0 normal 0 reversable 0 normal 2 reversable 1 1 normal 2 0 reversable 1 0 normal 2 0 normal 2 1 1 1 1 2 0 normal 3 reversable NA reversable 2 1 1 2 2 normal 1 0 normal 1 0 normal 1 1 normal 2 1 normal 1 1 normal 2 0 normal 0 normal 3 normal 1 normal 1 1 normal 2 2 normal 3 0 reversable 1 0 reversable 2 2 normal 0 normal 0 normal 0 normal 0 normal 2 reversable 2 2 0 normal 1 0 normal 1 0 normal 1 0 normal 1 0 normal 2 2 normal 1 0 normal 2 0 normal 1 1 reversable 2 1 normal 1 2 reversable 1 0 normal 0 fixed 1 reversable 2 1 reversable 1 0 normal 2 0 normal 2 0 normal 1 2 normal 2 0 normal 1 0 normal 1 0 reversable 2 1 normal 1 2 normal 1 0 normal 1 0 normal 2 1 normal 0 fixed 2 2 Ο ΝΑ 2 1 fixed 1 0 reversable 1 0 normal 1 1 0 fixed 2 2 reversable 2 0 normal 1 2 normal 2 0 reversable 2 1 normal 2 0 normal 1 1 normal 2 0 normal 2 1 reversable 1 0 normal 2 1 reversable 1 0 normal 1 reversable 1 1 reversable 3 3 fixed 2 2 fixed 2 NA reversable 1 0 reversable 3 0 normal 2 0 1 0 normal 3 0 fixed 1 2 reversable 2 0 normal 1 0 normal 2 2 fixed 2 0 reversable 2 0 reversable 2 2 reversable 2 1 reversable 2 1 normal 1 NA normal reversable 0 1 1 1 0 1 0 0 0 1 0 0 0 0 0 1 1 1 0 1 0 1 0 1 1 0 0 0 0 0 0 0 0 1 1 0 0 0 1 1 0 1 0 0 1 1 1 0 0 0 0 0 1 0 1 1 1 1 0 0 1 0 0 0 0 0 0 0 1 0 1 0 0 1 1 1 1 1 0 1 0 1 0 1 0 0 0 1 0 1 0 1 0 1 1 1 0 0 0 1 0 1 1 1 0 1 1 1 1 1 1 0
Transcribed Image Text:1 2 3 4 5 6 Age Sex ChestPain RestBP Chol Fbs RestECG MaxHR ExAng Oldpeak Slope Ca Thal 145 233 1 63 1 typical 150 3 0 fixed 67 160 286 0 108 2 1 asymptomatic 67 1 asymptomatic 120 229 0 2 129 37 1 nonanginal 130 250 0 187 41 0 nontypical 130 204 0 172 56 1 nontypical 120 236 0 178 7 62 0 asymptomatic 140 268 0 160 8 57 0 asymptomatic 120 354 0 163 9 63 147 1 asymptomatic 130 254 0 10 53 1 asymptomatic 140 203 1 155 11 57 1 asymptomatic 140 192 0 148 12 56 0 nontypical 140 294 153 13 56 142 1 nonanginal 130 256 1 14 44 1 nontypical 120 263 0 173 15 52 1 nonanginal 172 199 1 162 16 57 1 nonanginal 150 168 174 17 48 1 nontypical 168 18 54 1 asymptomatic 160 19 48 0 nonanginal 139 20 49 1 nontypical 171 21 64 1 typical 22 58 0 typical 23 58 1 nontypical 24 58 1 nonanginal 25 60 1 asymptomatic 26 50 0 nonanginal 27 58 0 nonanginal 28 66 0 typical 29 43 1 asymptomatic 30 40 1 asymptomatic 31 69 0 typical 32 60 33 64 34 59 35 44 36 42 37 43 38 57 39 55 40 61 41 65 42 40 43 71 44 59 45 61 46 58 47 51 48 50 49 65 50 53 51 41 52 65 53 44 54 44 55 56 1 nonanginal 1 asymptomatic 0 nonanginal 1 nonanginal 0 nontypical 1 asymptomatic 1 asymptomatic 1 nontypical 1 asymptomatic 1 asymptomatic 1 nonanginal 1 asymptomatic 1 nonanginal 1 typical 0 asymptomatic 0 nonanginal 1 asymptomatic 0 nonanginal 1 asymptomatic 1 asymptomatic 1 nonanginal 1 nonanginal 1 asymptomatic 70 46 1 nonanginal 71 65 0 nonanginal 72 67 73 62 74 65 75 44 76 65 77 60 1 asymptomatic 78 51 0 nonanginal 79 48 1 nontypical 80 58 1 asymptomatic 81 45 1 asymptomatic 82 53 0 asymptomatic 83 39 1 nonanginal 84 68 1 nonanginal 85 52 1 nontypical 86 44 1 nonanginal 87 47 1 nonanginal 88 53 0 nonanginal 89 53 90 51 91 66 92 62 93 60 54 57 50 58 41 59 54 60 51 61 51 62 46 63 58 64 54 65 54 66 60 67 60 68 54 69 59 1 asymptomatic 1 nonanginal 1 asymptomatic 1 nonanginal 1 asymptomatic 1 asymptomatic 1 asymptomatic 1 asymptomatic 1 nonanginal 0 asymptomatic 1 typical 0 nontypical 1 nonanginal 0 asymptomatic 1 nonanginal 94 1 asymptomatic 1 asymptomatic 1 asymptomatic 1 asymptomatic 0 nonanginal 0 asymptomatic 0 nonanginal 1 asymptomatic 0 asymptomatic 62 1 nonanginal 44 0 nonanginal 110 229 140 239 130 275 130 266 110 211 0 140 235 oooooo. 138 257 0 0 0 0 0 150 283 1 120 284 0 132 224 0 130 206 0 120 219 0 120 340 0 150 226 0 150 247 0 110 167 0 140 239 117 230 140 335 135 234 130 233 140 226 120 177 150 276 132 353 150 243 150 225 140 199 160 302 150 212 130 330 112 230 0 0 1 oooooooooo 0 0 0 0 0 0 0 1 0 0 0 110 175 0 150 243 0 140 417 1 130 197 1 105 198 0 120 177 0 112 290 0 130 219 0 130 253 0 124 266 0 140 233 110 172 125 273 125 213 0 130 305 0 142 177 0 128 216 0 135 304 1 120 188 0 145 282 140 185 150 232 170 326 150 231 0 155 269 0 125 254 1 120 267 0 110 248 0 110 197 0 160 360 0 125 258 0 140 308 130 245 0 150 270 0 104 208 0 130 264 0 140 321 0 180 274 1 120 325 TOO 0 0 0 0 0 0 0 0 0 OOOC 0 0 128 216 0 138 234 0 130 256 0 120 302 0 160 164 130 231 108 141 DOO 0 Heart 0 2 2 2 0 2 0 2 0 2 2 0 2 2 0 0 0 0 0 0 0 2 2 2 2 2 0 0 0 0 2 Oooo 0 0 0 2 2 0 0 2 0 0 0 2 2 0 2 2 2 0 0 2 2 0 2 0 2 2 2 0 2 2 0 0 2 2 2 2 0 0 0 0 2 2 2 2 2 2 2 2 2 2 2 0 2 2 2 2 2 2 2 0 0 144 162 160 173 132 158 172 114 171 114 151 160 158 161 179 178 120 112 132 137 114 178 162 157 169 165 123 128 157 152 168 140 153 188 144 109 163 158 152 125 142 160 131 170 113 142 155 165 140 147 148 163 99 158 177 151 141 142 180 111 148 143 182 150 172 180 156 115 160 149 151 145 146 175 0 1 1 0 0 0 0 1 0 1 0 0 1 0 0 0 0 0 0 0 1 0 0 0 1 OC 0 0 0 0 1 0 1 0 0 1 0 1 1 1 1 0 1 0 0 0 0 0 0 0 0 0 oooo 0 0 0 1 1 0 0 0 1 1 1 1 0 0 1 0 0 1 0 0 0 1 OC 0 0 0 1 0 0 1 1 0 0 1 0 0 0 0 0 0 0 0 0 c 0 2.3 1.5 2.6 3.5 1.4 0.8 3.6 0.6 1.4 3.1 0.4 1.3 0.6 0 0.5 1.6 1 1.2 0.2 0.6 1.8 1 1.8 3.2 2.4 1.6 0 2.6 1.5 2 1.8 A 1.4 0 0.5 0.4 0 2.5 0.6 1.2 1 1 1.4 0.4 1.6 0 br 2.5 0.6 2.6 0.8 1.2 0 0.4 0 0 1.4 2.2 0.6 0 0.5 1.4 1.2 1.4 2.2 0 1.4 2.8 3 1.6 3.4 3.6 0.8 0.2 1.8 0.6 0 0.8 2.8 1.5 0.2 0.8 3 0.4 0 1.6 0.2 0 DOO C 0 0 0.5 0.4 6.2 1.8 0.6 3 normal 2 reversable 0 normal 0 normal 0 normal 2 normal 0 normal 1 reversable 0 reversable 0 fixed 0 normal 1 fixed 0 reversable 0 reversable 0 normal 0 reversable 0 normal 0 normal 0 normal 0 normal 0 normal 2 0 normal 1 2 reversable 2 2 reversable 2 0 normal 1 0 normal 3 0 normal 1 0 normal 2 0 reversable 1 2 normal 1 2 reversable 1 0 normal 2 0 reversable 1 0 normal 1 0 normal 2 2 2 2 2 1 1 1 1 2 1 1 3 1 2 2 2 2 1 1 1 3 1 1 1 2 o 0 reversable 1 fixed 1 reversable 0 normal 3 reversable 0 reversable 2 normal 0 normal 0 normal 1 reversable 1 0 normal 0 reversable 1 2 1 1 normal 3 0 normal 1 1 normal 1 0 reversable 1 1 normal 1 0 normal 1 1 reversable 2 1 reversable 2 1 reversable 1 0 reversable 3 1 normal 1 1 normal 2 0 reversable 3 0 normal 2 3 reversable 1 0 normal 2 1 reversable 2 2 reversable 2 0 normal 1 0 reversable 3 0 reversable 2 0 normal 1 0 normal 2 2 reversable 2 2 reversable 1 2 fixed 1 1 2 1 1 1 normal 2 0 normal 1 1 normal 0 normal reversable 0 reversable 2 0 normal 2 0 normal 1 0 normal 2 0 reversable 1 1 1 1 Ο 0 normal 0 normal 0 normal ΝΑ 0 normal 1 0 normal 2 0 normal 3 3 reversable 2 3 reversable 2 0 normal AHD 0 1 1 0 0 0 1 0 1 1 0 0 1 0 0 0 1 0 0 0 0 0 1 1 1 0 0 0 0 1 0 1 1 0 0 0 1 1 1 0 1 0 0 0 1 1 0 1 0 0 0 0 1 0 1 1 1 1 0 0 1 0 1 0 1 1 1 0 1 1 0 1 1 1 1 0 1 0 0 1 0 0 0 1 0 0 0 0 0 0 0 1 0 0 95 96 97 98 99 100 48 101 45 102 34 103 57 104 71 105 49 106 54 107 59 108 57 109 61 110 39 111 61 112 56 113 52 114 43 115 62 116 41 117 58 118 35 119 63 63 52 59 60 52 120 65 121 48 122 63 123 51 124 55 125 65 126 45 127 56 128 54 129 44 130 62 131 54 132 51 133 29 134 51 135 43 136 55 137 70 138 62 139 35 140 51 141 59 142 59 143 52 144 64 145 58 146 47 147 57 148 41 149 45 150 60 151 52 152 42 153 67 154 55 155 64 156 70 157 51 158 58 159 60 160 68 161 46 162 77 163 54 164 58 165 48 166 57 167 52 168 54 169 35 170 45 171 70 172 53 173 59 174 62 175 64 17€ 57 177 52 178 56 179 43 180 53 181 48 182 56 183 42 184 59 185 60 186 63 187 42 188 66 189 54 190 69 0 nonanginal 1 asymptomatic 1 asymptomatic 0 asymptomatic 1 nontypical 1 asymptomatic 1 asymptomatic 1 typical 0 asymptomatic 0 nonanginal 1 nonanginal 1 nontypical 1 asymptomatic 1 nonanginal 1 asymptomatic 1 asymptomatic 0 asymptomatic 1 asymptomatic 1 typical 0 asymptomatic 0 nonanginal 1 nontypical 1 nonanginal 0 asymptomatic 1 asymptomatic 1 asymptomatic 1 asymptomatic 0 asymptomatic 1 nonanginal 1 asymptomatic 1 typical 0 nontypical 0 asymptomatic 1 asymptomatic 1 nontypical 0 asymptomatic 1 nonanginal 1 nonanginal 1 nontypical 1 asymptomatic 0 nonanginal 0 nontypical 1 asymptomatic 1 nontypical 1 asymptomatic 1 nonanginal 1 nontypical 1 typical 1 nontypical 1 nonanginal 1 nonanginal 1 nonanginal 1 asymptomatic 1 nonanginal 1 nontypical 0 nonanginal 1 typical 0 asymptomatic 0 nonanginal 1 asymptomatic 1 asymptomatic 1 asymptomatic 1 asymptomatic 1 asymptomatic 1 asymptomatic 1 nonanginal 1 nontypical 1 asymptomatic 0 nonanginal 0 asymptomatic 1 nonanginal 1 asymptomatic 1 nonanginal 0 nontypical 1 asymptomatic 0 nontypical 1 nonanginal 1 asymptomatic 0 asymptomatic 0 asymptomatic 1 asymptomatic 1 asymptomatic 1 asymptomatic 1 asymptomatic 1 nonanginal 1 nonanginal 135 252 0 128 255 110 239 150 258 134 122 222 201 115 260 118 182 oooooooo 0 1 asymptomatic 124 274 0 asymptomatic 134 409 1 typical 148 244 1 typical 178 270 0 asymptomatic 158 305 0 nontypical 140 195 1 nonanginal 120 240 1 nontypical 160 246 1 nontypical 192 283 1 nonanginal 140 254 0 0 0 128 303 110 265 1 120 188 0 108 309 0 140 177 128 229 120 260 118 219 145 307 125 249 118 186 132 341 1 130 263 0 135 203 0 140 211 1 138 183 0 130 330 1 135 254 0 1 130 256 150 407 100 222 140 217 138 282 130 234 200 288 110 239 120 220 124 209 120 258 94 227 130 204 140 261 122 213 135 250 145 174 120 281 120 198 125 245 140 221 170 288 0 0 0 0 ܘ ܘ | ܕ 1 0 ooo 0 0 0 1 0 1 0 OOO OO 0 0 0 OOOOOOO 128 205 125 309 105 240 108 243 165 289 112 250 128 308 102 318 152 298 102 265 115 564 160 289 120 246 130 322 140 299 125 300 140 293 118 277 101 197 125 304 110 214 100 248 124 255 132 207 138 223 132 288 1 126 282 0 112 160 0 160 269 142 226 174 249 140 394 0 0 145 212 152 274 0 1 108 233 132 184 0 130 315 0 130 246 1 1 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 ooooooooo NON NON ~ ~ ~ NOOONO 2 0 2 2 0 2 2 2 2 2 2 0 0 2 2 2 2 0 0 2 ON N N NON 0 2 2 2 2 0 2 2 2 ON 0 o o a 0 2 0 2 NON N 2 2 0 2 0 2 0 2 0 0 2 ONONOO 0 N N N N N ON NOONONOO ON NOON ON NOON ON 2 2 2 2 2 2 2 0 2 0 0 2 2 2 2 0 2 2 2 2 N NOOON N N N 2 2 2 0 0 2 2 172 161 142 157 158 186 185 174 159 130 139 156 162 150 140 140 146 144 190 136 97 132 165 182 132 127 150 154 143 111 174 175 133 126 170 163 147 154 202 186 165 161 125 103 130 166 164 159 184 131 154 152 124 179 170 160 178 122 160 145 96 109 173 171 170 151 156 162 158 122 175 168 169 159 156 138 112 111 143 157 132 88 147 105 162 173 166 150 178 145 161 179 194 120 195 146 0 TTO o oc 1 0 0 0 0 0 0 0 0 0 1 0 1 0 1 1 ·OOOoo T 0 1 0 0 0 1 0 1 1 0 0 1 1 0 ₂ c 0 0 1 0 1 0 o 0 1 0 1 0 1 0 0 1 1 0 0 0 0 0 0 0 0 1 1 - Or 0 1 oooo 0 0 0 0 1 -oo 0 0 0 1 0 1 1 0 1 1 1 OOT OTO oo 0 0 1 0 1 0 0 0 1 TOO OOO TOO 0 0 1 0 0 0 0 1.2 2.6 0.8 0 0 0 0 0 2 0 0 0.4 3.6 1.2 1 1.2 0 3 1.2 0 0 1.4 1.8 2.8 0 4 1.2 5.6 1.4 0.6 4 2.8 0 0 0.4 0 0 0 0.2 1.4 2.6 1.4 1.6 2.4 0 0.2 0 1.8 0.6 0 1 0 0 0 1.2 0.6 1.6 0.8 2.2 2.4 1.6 0 1.2 1 0 0 1.6 1 0 0 0 0 0 0 2.9 0 0 1.2 2 1.2 0.1 2.1 1.9 0 0.5 1.9 0.8 4.2 0 0 0.8 0 0 2 1 1 2 2 1 1 1 1 1 1 2 1 1 2 2 2 2 2 2 2 2 2 1 1 1 2 1 2 2 3 2 2 3 2 1 1 2 1 1 1 2 2 3 2 2 2 1 2 1 2 0 normal 1 reversable 1 reversable 2 reversable 1 normal 2 1 1 0 normal 0 normal 0 normal 1 normal 1 normal 3 reversable 0 reversable 1 reversable 1 reversable 1 reversable 0 reversable 0 reversable 1 normal 0 fixed 0 reversable 1 reversable 0 fixed 0 normal 0 normal 3 reversable 1 reversable 2 reversable 3 reversable 0 normal 0 reversable 1 normal 0 normal 2 reversable 1 reversable 0 normal 0 normal 0 reversable 1 reversable 0 normal 0 normal 0 normal 0 normal 0 reversable 1 reversable 0 reversable 0 normal 0 normal 0 reversable 0 normal 0 reversable 0 reversable 2 1 0 normal 2 3 reversable 1 0 normal 1 0 normal 1 1 normal 2 0 reversable 2 0 normal 2 0 reversable 2 1 reversable 3 1 normal 2 3 normal 1 0 reversable 1 2 reversable 2 reversable 1 reversable 0 reversable 3 1 normal 2 0 normal 2 0 normal 1 2 normal 1 0 reversable 1 NA normal 1 1 normal 0 reversable 0 normal 1 2 2 1 2 2 2 2 1 3 reversable 2 1 fixed 1 1 normal 1 3 normal 2 0 reversable 2 2 reversable 1 2 normal 3 0 reversable 1 0 normal 1 2 normal 3 0 reversable 2 3 fixed 1 2 1 reversable 0 reversable 0 normal 0 normal 2 fixed 1 reversable 1 reversable 3 reversable 0 1 1 1 0 0 0 1000 0 0 0 1 0 1 1 1 1 1 1 0 1 1 0 0 0 1 1 ..... 1 1 1 1 0 0 0 0 0 0 0 0 1 1 1 0 0 1 0 1 0 1 1 0 0 0 0 0 0 1 1 1 1 1 1 0 0 1 0 0 1 0 1 0 1 0 1 1 0 1 0 0 1 1 0 0 1 0 0 1 1 1 191 50 192 51 193 43 194 62 195 68 196 67 197 69 198 45 199 50 200 59 201 50 202 64 203 57 204 64 205 43 206 45 207 58 208 50 209 55 210 62 211 37 212 38 213 41 214 66 215 52 216 56 217 46 218 46 219 64 220 59 221 41 222 54 223 39 224 53 225 226 34 J 63 227 47 228 67 229 54 230 66 231 52 232 55 233 49 234 74 235 54 236 54 237 56 238 46 239 49 240 42 241 41 242 41 243 49 244 61 245 60 246 67 247 58 248 47 249 52 250 62 251 57 252 58 253 64 254 51 255 43 42 n 1 nonanginal 1 asymptomatic 1 asymptomatic 0 asymptomatic 0 nonanginal 58 1 asymptomatic 1 typical 0 asymptomatic 0 nontypical 1 typical 0 asymptomatic 0 asymptomatic 1 nonanginal 0 nonanginal 1 asymptomatic 1 asymptomatic 1 asymptomatic 1 asymptomatic 1 nontypical 0 asymptomatic 0 nonanginal 1 typical 1 nonanginal 0 asymptomatic 1 asymptomatic 1 typical 0 nontypical 0 asymptomatic 0 asymptomatic 1 asymptomatic 0 nonanginal 0 nonanginal 0 nonanginal 1 asymptomatic 0 asymptomatic 0 nontypical 1 asymptomatic 0 nonanginal 1 asymptomatic 1 asymptomatic 0 nonanginal 0 asymptomatic 1 nonanginal 0 nontypical 0 nonanginal 1 asymptomatic 1 asymptomatic 1 asymptomatic 0 nontypical 1 nontypical 1 nontypical 0 nontypical 0 asymptomatic 1 typical 0 nonanginal 1 asymptomatic 1 asymptomatic 1 asymptomatic 1 asymptomatic nontypical 1 asymptomatic 1 asymptomatic 1 asymptomatic 0 nonanginal 1 asymptomatic 0 nonanginal 0 asymptomatic 0 nonanginal 1 nontypical 1 nontypical 0 nonanginal 0 nontypical 0 typical 1 nonanginal 1 asymptomatic 1 asymptomatic 1 asymptomatic 1 nonanginal 256 257 67 258 76 259 70 260 57 261 44 262 58 263 60 264 44 265 61 266 42 267 52 268 59 269 40 270 42 271 61 272 66 273 46 274 71 275 59 276 64 1 typical 277 66 0 nonanginal 278 39 0 nonanginal 279 57 1 nontypical 280 58 0 asymptomatic 281 57 1 asymptomatic 282 47 1 nonanginal 283 55 0 asymptomatic 284 35 1 nontypical 285 61 1 asymptomatic 286 58 1 asymptomatic 287 0 asymptomatic 288 58 1 nontypical 289 56 1 nontypical 290 56 1 nontypical 291 67 1 nonanginal 292 55 0 nontypical 293 44 1 asymptomatic 294 63 1 asymptomatic 295 63 0 asymptomatic 296 41 1 nontypical 297 59 1 asymptomatic 298 57 0 asymptomatic 299 45 1 typical 300 68 1 asymptomatic 301 57 1 asymptomatic 302 57 0 nontypical 303 38 1 nonanginal 1 asymptomatic 1 nonanginal 1 asymptomatic 1 asymptomatic 1 asymptomatic 0 asymptomatic 1 typical 129 196 0 140 298 0 132 247 138 294 1 1 120 211 0 100 299 0 160 234 1 138 236 0 120 244 160 273 110 254 180 325 150 126 1 ܘ 152 277 110 206 112 212 136 196 180 327 149 118 120 269 160 201 122 286 130 283 120 249 0 ooo. 0 0 0 140 313 110 211 0 142 309 128 259 0 144 200 0 130 262 0 150 244 0 120 215 0 120 231 0 130 214 0 178 228 1 112 230 120 193 105 204 138 243 130 303 138 271 112 268 108 267 94 199 123 282 108 269 118 210 112 204 oooo 0 0 0 0 ooooooooooo 0 0 0 0 0 0 0 0 0 0 OOO TO 0 134 271 0 120 295 0 110 235 ܘ ܘ ܘ 126 306 0 130 269 134 234 120 178 1 120 237 100 234 110 275 125 212 128 208 110 201 146 218 128 263 120 295 115 303 120 209 106 223 140 197 156 245 124 261 118 242 136 319 150 240 120 226 138 166 136 315 128 204 126 218 152 223 130 180 140 207 160 228 140 311 112 149 134 204 170 227 146 278 138 220 154 232 130 197 110 335 130 253 128 205 122 192 148 203 0 114 318 Oo. 0 0 oooOT 0 0 0 0 1 ooo 0 0 0 0 0 0 0 0 0 0 0 1 0 0 o oc 0 0 1 1 0 oooooo 0 0 0 0 0 0 0 0 0 0 0 0 ooooo 0 0 0 170 225 125 220 130 221 120 240 152 212 132 342 120 169 140 187 0 1 0 0 0 0 0 0 124 197 0 120 157 0 164 176 1 140 241 110 264 144 193 1 0 0 130 131 0 130 236 138 175 oc 0 0 0 ONN NOOOONNON NN NONO 2 2 2 2 2 2 2 0 0 2 2 2 0 0 0 0 2 0 NO 2 0 2 0 2 NOOOOOONNN 2 2 0 0 0 0 0 0 2 2 2 1 NNONC 2 0 2 2 2 0 0 OOO 0 0 0 0 0 NO 0 2 0 ON OOONO OOT NOON OO 2 0 0 0 2 0 0 0 1 2 0 0 2 2 0 0 0 O ONN OOONNONOOO TOO. 0 2 2 0 0 2 2 0 2 0 0 1 0 0 1 2 0 2 ON 0 NOON OON OOOO 2 0 0 2 0 2 0 0 0 0 2 To 0 163 122 143 106 115 125 131 152 162 125 159 154 173 133 161 147 130 126 155 154 170 182 168 165 160 162 172 152 122 182 172 167 179 95 169 192 143 172 108 132 169 117 126 121 163 116 103 144 162 162 153 163 163 145 96 71 156 118 168 140 126 105 105 157 181 173 142 116 143 141 149 152 171 169 125 125 156 134 181 150 138 138 120 125 162 155 152 152 164 131 143 179 130 174 161 140 146 144 163 169 150 166 144 144 136 182 90 123 132 141 115 174 173 0 1 1 0 ₂ c 0 1 OTOOor Oc 0 1 0 0 0 1 0 0 0 1 1 1 0 1 0 1 0 1 OOO 0 0 0 1 OOOO Tr 0 0 1 0 0 1 1 ooo 0 0 0 1 1 0 1 0 1 0 1 1 0 0 Oooo 0 0 0 0 0 0 0 0 1 0 0 1 0 1 ooooooooooo 0 0 0 0 0 0 0 0 0 1 1 1 0 0 O O O O O O O O O O TO 0 0 0 0 0 0 1 1 0 0 0 1 0 0 0 0 0 1 1 1 OOTOO 0 0 1 0 0 1 oo 0 0 0 4.2 | | 0.1 1.9 1.5 0.9 0.1 0.2 1.1 0 0 0 0.2 0.2 0 0 3 0.9 0 1.4 0 3.8 2 1 0 1.9 0 0 2 0 0 0 0 2 1.8 0.7 0.1 0 0 0.1 0.1 3.4 0.8 0.2 0 3.2 1.6 0.8 0 0 0 0 0 2.6 0 1 0.1 1 1 0 1.5 2 0.2 0.6 1.2 0 0.3 1.1 0 0.3 0.3 0 0.9 0 3.6 1.8 1 2.2 0 0 1.9 2.3 1.8 1.6 0.8 0.6 0 0 0 0.6 3 0 2 0 0 4.4 2.8 0.4 0 0 0.8 1.2 2.8 4 0 0 1 0.2 1.2 3.4 1.2 0 0 1 2 2 NN 2 3 normal 0 normal 2 normal 1 normal 0 normal 0 normal 0 normal 0 normal 0 normal 1 reversable 0 reversable 0 reversable 3 reversable 2 reversable 0 reversable 2 2 2 2 1 1 1 1 1 1 1 2 2 2 1 2 1 2 2 2 0 normal 0 normal 0 normal 0 reversable 0 normal 2 reversable 1 1 normal 2 0 reversable 1 0 normal 2 0 normal 2 1 1 1 1 2 0 normal 3 reversable NA reversable 2 1 1 2 2 normal 1 0 normal 1 0 normal 1 1 normal 2 1 normal 1 1 normal 2 0 normal 0 normal 3 normal 1 normal 1 1 normal 2 2 normal 3 0 reversable 1 0 reversable 2 2 normal 0 normal 0 normal 0 normal 0 normal 2 reversable 2 2 0 normal 1 0 normal 1 0 normal 1 0 normal 1 0 normal 2 2 normal 1 0 normal 2 0 normal 1 1 reversable 2 1 normal 1 2 reversable 1 0 normal 0 fixed 1 reversable 2 1 reversable 1 0 normal 2 0 normal 2 0 normal 1 2 normal 2 0 normal 1 0 normal 1 0 reversable 2 1 normal 1 2 normal 1 0 normal 1 0 normal 2 1 normal 0 fixed 2 2 Ο ΝΑ 2 1 fixed 1 0 reversable 1 0 normal 1 1 0 fixed 2 2 reversable 2 0 normal 1 2 normal 2 0 reversable 2 1 normal 2 0 normal 1 1 normal 2 0 normal 2 1 reversable 1 0 normal 2 1 reversable 1 0 normal 1 reversable 1 1 reversable 3 3 fixed 2 2 fixed 2 NA reversable 1 0 reversable 3 0 normal 2 0 1 0 normal 3 0 fixed 1 2 reversable 2 0 normal 1 0 normal 2 2 fixed 2 0 reversable 2 0 reversable 2 2 reversable 2 1 reversable 2 1 normal 1 NA normal reversable 0 1 1 1 0 1 0 0 0 1 0 0 0 0 0 1 1 1 0 1 0 1 0 1 1 0 0 0 0 0 0 0 0 1 1 0 0 0 1 1 0 1 0 0 1 1 1 0 0 0 0 0 1 0 1 1 1 1 0 0 1 0 0 0 0 0 0 0 1 0 1 0 0 1 1 1 1 1 0 1 0 1 0 1 0 0 0 1 0 1 0 1 0 1 1 1 0 0 0 1 0 1 1 1 0 1 1 1 1 1 1 0
Expert Solution
steps

Step by step

Solved in 5 steps

SEE SOLUTIONCheck out a sample Q&A here
Blurred answer
Knowledge Booster
Bayes' Theorem
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, computer-science and related others by exploring similar questions and additional content below.
Similar questions
  • SEE MORE QUESTIONS
Recommended textbooks for you
Database System Concepts
Database System Concepts
Computer Science
ISBN:
9780078022159
Author:
Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:
McGraw-Hill Education
Starting Out with Python (4th Edition)
Starting Out with Python (4th Edition)
Computer Science
ISBN:
9780134444321
Author:
Tony Gaddis
Publisher:
PEARSON
Digital Fundamentals (11th Edition)
Digital Fundamentals (11th Edition)
Computer Science
ISBN:
9780132737968
Author:
Thomas L. Floyd
Publisher:
PEARSON
C How to Program (8th Edition)
C How to Program (8th Edition)
Computer Science
ISBN:
9780133976892
Author:
Paul J. Deitel, Harvey Deitel
Publisher:
PEARSON
Database Systems: Design, Implementation, & Manag…
Database Systems: Design, Implementation, & Manag…
Computer Science
ISBN:
9781337627900
Author:
Carlos Coronel, Steven Morris
Publisher:
Cengage Learning
Programmable Logic Controllers
Programmable Logic Controllers
Computer Science
ISBN:
9780073373843
Author:
Frank D. Petruzella
Publisher:
McGraw-Hill Education
SEE MORE TEXTBOOKS