Bagaimana perhitungan manual untuk membentuk tree menggunakan algoritma decision tree c45
Contoh Kasus Decision Tree
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Metode Decision Tree
Java source code for Decision Tree algorith
clips decision tree
contoh soal statistika dasar tentang decision treeFull description
contoh soal statistika dasar tentang decision treeFull description
Annex 1Full description
Decision Tree Assisted Controlled IslandingndingFull description
Full description
Operational Research
Full description
Data mining techniques are rapidly developed for many applications. In recent year, Data mining in healthcare is an emerging field research and development of intelligent medical diagnosis system. Classification is the major research topic in data mi
Merck & Co. : Evaluating a Drug Licensing O DECISION TREE
Success Phase II
10%
Depression Only
85%
15%
Weight Loss Only Phase III
15% 75%
25% 70%
Success
Failure Success
Failure Success Both
Considering all the possible outcomes and expected cash flows, the licensing project yields an expected net prese our recommendation is that Merck should take up the licensing opportunity. This particular investme Note : Please refer to calculations sheet
ating a Drug Licensing Opportunity DECISION TREE Investments Phase I 60%
40%
Failure
$
30,000,000.00
$
40,000,000.00
Phase II
5%
70%
Both
Failure
se III
15%
5%
10% $ 200,000,000.00 $ 150,000,000.00
Depression Only
Weight loss
Failure
$ 500,000,000.00
oject yields an expected net present value of $13.98 Million. Since the net expected value is positive, portunity. This particular investment is expected to add $13.98 Million to the firm value.
Cash flows Investments
Phases
Possibility
Phase I Phase II Phase III
In $ Million 30 40
For Depression For Weight Loss For Both
200 150 500
For Depression For Weight Loss For Both
250 100 400
For Depression For Weight Loss For Both
1200 345 2250
Depression Only
Success Failure
Weight Loss Only
Success Failure
Both
Success In both Success in Depression Only Success In Weight Loss Only Failure
