Question

In: Computer Science

lets say i have a set of data and I want to build an ensemble classifier...

lets say i have a set of data and I want to build an ensemble classifier and wanted to do models for a python machine learning project, how would the startup/build up to put all of that together.

Solutions

Expert Solution

I understand you are willing to start developing your machine learning project to build an ensemble model, so refer below as I have covered in-depth detailed and step-by-step process on how you should proceed with starting to build and not only that but will also help you finish developing your ensemble model.



Related Solutions

Lets say for a sample of data the correlation coefficient is zero. I know this means...
Lets say for a sample of data the correlation coefficient is zero. I know this means there is no linear relationship, and if you tried to fit the data by a least-squares then the slope would also be zero. But if you did this analysis, could you get a nonzero y-intercept? I think you could, but curious to see what other people think.
You have decided to use J48 as a classifier in Weka for your data set. After...
You have decided to use J48 as a classifier in Weka for your data set. After your analysis, you have found that the accuracy of J48 for your data set is greater than that of ZeroR, but less than the accuracy of OneR. Should you continue to use J48 as a classifier for your data set? Why or why not?
Lets say I owned a business worth $100 million dollars and I have 25% stake in...
Lets say I owned a business worth $100 million dollars and I have 25% stake in the company. Lets say 100% of the what I own in the company will be taxable and I am married and it will be filed jointly. Company's net income is $17.5 million. If I was selling the company how much estate tax attributable would I be facing filing jointly?
Lets say I owned a business worth $100 million dollars and I have 25% stake in...
Lets say I owned a business worth $100 million dollars and I have 25% stake in the company. Lets say 100% of the what I own in the company will be taxable and I am married and it will be filed jointly. Company's net income is $17.5 million. What would be the estate tax attributable, 100% interest will be taxable and filling jointly? Also can you please mention some tax laws that would be beneficial in this situation?
Lets say I have a 2 firm game with homogenous products with the demand function: P...
Lets say I have a 2 firm game with homogenous products with the demand function: P = A - BQ What would be my theoretical Consumer, Producer and Total Surplus for Cournot, Stackelberg and Bertarand competitions?
Hello I have a data set of stock price from previous year. I want to know...
Hello I have a data set of stock price from previous year. I want to know the probability of stock price to be more than a certain value after x days starting from where the dataset ends. Which way do i need to approach. I thought of logistic regression, if its correct what do i need to do to move forward. Thank you!
lets say i make a PYTHON code that lets a user guess a number between 1-1000,...
lets say i make a PYTHON code that lets a user guess a number between 1-1000, every failed attempt you get a hint (go lower or go higher) how can i penalize the user if they dont follow the hints, example ( go higher!... your next pick: a smaller number... 2 you loose $100 for not following hint) 2 and the user has unlimited attempts, until he guesses the number, this is made using random.randint(1,1000) function THE ONLY THING IM...
I have an externa file lets call it "data" which is not written in the MaTLab,...
I have an externa file lets call it "data" which is not written in the MaTLab, I want to call it using a code so, I can read all the data numbers from it and then plot it in a sine and cosine waves in the graphical user interfernace (GUI) I need it fast please Thanks
You would like to build a classifier for an Autism early detection application. Each data point...
You would like to build a classifier for an Autism early detection application. Each data point in the dataset represents a patient. Each patient is described by a set of attributes such as age, sex, ethnicity, communication and development figures, etc. You know from domain knowledge that autism is more prevalent in males than females. If the dataset you are using to build the classifier is noisy, contains redundant attributes and missing values. If you are considering a decision tree...
Lets say that I were to give you a sorted list of P elements that was...
Lets say that I were to give you a sorted list of P elements that was followed by randomly ordered elements. Please explain how you would sort the entire, whole list? Please give a detailed reasoning and provide a good explanation (In language C++) Please type answer if you can
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT