INFO-3135 Data Structures and Algorithms - Project 2: Diagnosis of Breast Cancer using Decision Tree Data Mining Technique
CanadaFanshawe CollegeINFO-3135INFO3135Data Structures and AlgorithmsDecision TreeData MiningPythonC++
Diagnosis of Breast Cancer using Decision Tree Data Mining Technique
CourseNana.COM
Problem Description
CourseNana.COM
CourseNana.COM
Build a binary tree to help detect the type of Breast Cancer tumors.
CourseNana.COM
CourseNana.COM
Benign tumors have not yet spread to other parts of the body whereas Malignant tumors have already spread to other parts of the body. So it is useful to know if a tumor is Benign or Malignant.
CourseNana.COM
CourseNana.COM
A study has been published that uses a Binary Decision tree to determine if a patient has benign or malignant breast cancer tumors to within a 94.5% accuracy.
CourseNana.COM
CourseNana.COM
We will build that binary decision tree as shown in Figure 13, that runs on a dataset with the information as shown in Table 3. The data that we would like to run on some new patients through the binary Decision tree will be in the csv format in Figure 12, but without the diagnosis (class).
CourseNana.COM
CourseNana.COM
You are to read in the data of new patients, run the data through the binary decision tree and output the data as shown with the diagnosis (Benign or Malignant) as shown in Figure 12 the csv format.
CourseNana.COM
CourseNana.COM
So the dataset provided to you will be in the order of Table 3 and CSV Formatted Data without the diagnosis
CourseNana.COM
CourseNana.COM
The Binary Decision Tree on the CSV formatted data is as shown:
CourseNana.COM
CourseNana.COM
Run the provided dataset on your binary decision tree and generate a report with the added diagnosis (benign or malignant) determined by the binary decision tree.
CourseNana.COM
Also provide a summary at the end stating the total number patients with Benign and Malignant tumors
CourseNana.COM
Canada代写,Fanshawe College代写,INFO-3135代写,INFO3135代写,Data Structures and Algorithms代写,Decision Tree代写,Data Mining代写,Python代写,C++代写,Canada代编,Fanshawe College代编,INFO-3135代编,INFO3135代编,Data Structures and Algorithms代编,Decision Tree代编,Data Mining代编,Python代编,C++代编,Canada代考,Fanshawe College代考,INFO-3135代考,INFO3135代考,Data Structures and Algorithms代考,Decision Tree代考,Data Mining代考,Python代考,C++代考,Canadahelp,Fanshawe Collegehelp,INFO-3135help,INFO3135help,Data Structures and Algorithmshelp,Decision Treehelp,Data Mininghelp,Pythonhelp,C++help,Canada作业代写,Fanshawe College作业代写,INFO-3135作业代写,INFO3135作业代写,Data Structures and Algorithms作业代写,Decision Tree作业代写,Data Mining作业代写,Python作业代写,C++作业代写,Canada编程代写,Fanshawe College编程代写,INFO-3135编程代写,INFO3135编程代写,Data Structures and Algorithms编程代写,Decision Tree编程代写,Data Mining编程代写,Python编程代写,C++编程代写,Canadaprogramming help,Fanshawe Collegeprogramming help,INFO-3135programming help,INFO3135programming help,Data Structures and Algorithmsprogramming help,Decision Treeprogramming help,Data Miningprogramming help,Pythonprogramming help,C++programming help,Canadaassignment help,Fanshawe Collegeassignment help,INFO-3135assignment help,INFO3135assignment help,Data Structures and Algorithmsassignment help,Decision Treeassignment help,Data Miningassignment help,Pythonassignment help,C++assignment help,Canadasolution,Fanshawe Collegesolution,INFO-3135solution,INFO3135solution,Data Structures and Algorithmssolution,Decision Treesolution,Data Miningsolution,Pythonsolution,C++solution,
