Thanks to all your sessions I have successfully landed a job as a data scientist and moved ahead in my career. Thanks Dr. Rai. I aim to do a PhD someday in this field😊
hello sir thank for your the nice videos, i am a cardiologist in the US, and does research in cardiac imaging. i have a question, when ever i do this code: plot.roc(r1) I get this: Error in roc.default(x, predictor, plot = TRUE, ...) : No valid data provided. not sure why i made sure i followed your steps and i tried to google this but no answer, could you tell me what i did wrong Thanks alot
Sir, I have a query, kindly suggest. I tried to build two models, MLR and SVM with training and testing data. The sensitivity for MLR-training is 62.9% and SVM training is 65.7%. Whereas, the sensitivity for MLR-testing is 70.0% and SVM-testing is 63.3%. Please suggest, why the sensitivity decreased in the case of MLR though it was high in the training data set as compared to SVM. And how we can to interpret this kind of situation.
Hello Professor, I'd be curious to see how to construct the plot for logistic regression with multiple variables. Can you maybe share the code with us, or suggest a video where you show this? Thanks in advance
@@bkrai No I was referring to the actual logistic regression model, with the x variables and the probabilities on the y axes. I have trouble to do that with multiple x variables. It’d be great to see that on the admit, gpa, rank dataset. Thanks a lot
@@bkrai yes Professor. I'd like to plot each independent variable on the x axes and the respective predicted probabilities on the y axes. Im new to R, so Im finding this particular thing difficult. If you can share the code I'm sure it'd help me and many others. Thanks a lot
Thanks to all your sessions I have successfully landed a job as a data scientist and moved ahead in my career. Thanks Dr. Rai. I aim to do a PhD someday in this field😊
That's excellent! Congratulations!
You are a Legend Sir..You give all real time scenarios with Clear examples...Please keep posting RUclips Vedios..
Thanks for comments!
i got internship in ds , all thanks to you sir, god bless
That's great to know, Congratulations!
Excellent video Sir 🙏
Thanks!
Nice! Thank you!
You are welcome!
Great video 👌🏼👌🏼
Thanks for the visit!
Very Good ..Thanks
You are welcome!
hello sir thank for your the nice videos, i am a cardiologist in the US, and does research in cardiac imaging. i have a question, when ever i do this code: plot.roc(r1)
I get this: Error in roc.default(x, predictor, plot = TRUE, ...) :
No valid data provided.
not sure why i made sure i followed your steps and i tried to google this but no answer, could you tell me what i did wrong
Thanks alot
If you are using the same data as in the video, then check your code again. If you are using a different data set, I may have to look at the code.
Very informative video. What is the null hypothesis of Mcnemar's test in this context?
Sir long waited for this video. Thanks a ton. Jus one query what's the significance of two tailed z test?
It's to see if the variable is statistically significant or not. If it is not, then it can be removed from the model.
@@bkrai Sir what's the criteria to decide variables are significant under z-test?
If p-value is less than 0.05, it is statistically significant.
Hi Dr Rai, at 31:53 regarding "Setting direection", how does the system know that 0 is controls group and 1 is cases group? Thank you
It's the default setting or this function.
Sir, I have a query, kindly suggest.
I tried to build two models, MLR and SVM with training and testing data. The sensitivity for MLR-training is 62.9% and SVM training is 65.7%. Whereas, the sensitivity for MLR-testing is 70.0% and SVM-testing is 63.3%.
Please suggest, why the sensitivity decreased in the case of MLR though it was high in the training data set as compared to SVM. And how we can to interpret this kind of situation.
It's difficult to say without looking at the data. But for choosing the better model, we should go with the results from test data.
@@bkrai Thank you so much sir
You are welcome!
Hello Professor, I'd be curious to see how to construct the plot for logistic regression with multiple variables. Can you maybe share the code with us, or suggest a video where you show this? Thanks in advance
This video includes Multi-class ROC Curves, if you are referring to that.
@@bkrai No I was referring to the actual logistic regression model, with the x variables and the probabilities on the y axes. I have trouble to do that with multiple x variables. It’d be great to see that on the admit, gpa, rank dataset. Thanks a lot
I didn't understand your question. By 'multiple x variables' do you mean several independent variables.
@@bkrai yes Professor. I'd like to plot each independent variable on the x axes and the respective predicted probabilities on the y axes. Im new to R, so Im finding this particular thing difficult. If you can share the code I'm sure it'd help me and many others. Thanks a lot
For making such plots in R, you can refer to this:
ruclips.net/video/CSAE66lwiyA/видео.html
Sir please make a tutorial on multiple polynomial regression in R
Thanks for the suggestion!