MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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(O4) Helping tags: Statistics, Analysis of Relationships Among Variables, Logistic Regression Analysis, Linear Discriminant Analysis

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WILL UPVOTE, just pls help me answer the following questions in the attached image. Pls show complete solutions and explain them. Thank you!

4. Cancer is a disease caused by abnormal growth and proliferation of cells in the body. A model is constructed to predict whether a cancer is malignant (1) or benign (0) using uniformity in cell size (X1, score from 1 to 10) and uniformity in cell shape (X2, score from 1 to 10). The biopsy results of two hundred randomly selected patients from a certain hospital were used to construct the following model: π(y=1) In[((-²)] = −5.07 +0.60X₁ +0.79X₂ [1¬n(y=1)] The confusion matrix for the constructed model is shown below: Outcome 0 (benign) 1 (malignant) The accuracy of the model is A. 7.0 B. 62.0 C. 91.8 D. 93.0 _%. Predicted Probability < 0.5 > 0.5 130 5 9 56
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Transcribed Image Text:4. Cancer is a disease caused by abnormal growth and proliferation of cells in the body. A model is constructed to predict whether a cancer is malignant (1) or benign (0) using uniformity in cell size (X1, score from 1 to 10) and uniformity in cell shape (X2, score from 1 to 10). The biopsy results of two hundred randomly selected patients from a certain hospital were used to construct the following model: π(y=1) In[((-²)] = −5.07 +0.60X₁ +0.79X₂ [1¬n(y=1)] The confusion matrix for the constructed model is shown below: Outcome 0 (benign) 1 (malignant) The accuracy of the model is A. 7.0 B. 62.0 C. 91.8 D. 93.0 _%. Predicted Probability < 0.5 > 0.5 130 5 9 56
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