Answer / john martin

The Microsoft Naive Bayes algorithm is a classification
algorithm provided by Microsoft SQL Server Analysis Services
for use in predictive modeling. The name Naive Bayes derives
from the fact that the algorithm uses Bayes theorem but does
not take into account dependencies that may exist, and
therefore its assumptions are said to be naive.

This algorithm is less computationally intense than other
Microsoft algorithms, and therefore is useful for quickly
generating mining models to discover relationships between
input columns and predictable columns. You can use this
algorithm to do initial explorations of data, and then later
you can apply the results to create additional mining models
with other algorithms that are more computationally intense
and more accurate.

Answer / parvendra

this algorithm is used to work on large databases

What is the breadth-first search algorithm?

0 Answers  

---

can anyone help me with some suggestions and improvemnts for sage line 50?

0 Answers  

---

Which search algorithm will use a limited amount of memory in an online search?

0 Answers  

---

Which search algorithm will use a limited amount of memory in online search?

0 Answers  

---

What do you mean by overfitting and underfitting algorithms?

0 Answers  

---

list the types of linked list with aid of diagram?

0 Answers  

---

A* algorithm is based on which search method?

0 Answers  

---

Can you pick an algorithm. Write the psuedo-code for a parallel implementation?

0 Answers  

---

What is iterative deepening depth-first search algorithm?

0 Answers  

---

Draw a flowchart to find the average of four number?

0 Answers  

---

What are the disadvantages of breadth-first search algorithm?

0 Answers  

---

Which is the most straight forward approach for planning algorithms?

0 Answers  

---