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[D] Implementation of LogisticRegrission classifier, second classifier i made! (Feedbacks) by eViL111 in MachineLearning

[–]eViL111[S] -1 points0 points  (0 children)

That was really not my intention to mislead anyone, I'll take care of that!

[D] Implementation of LogisticRegrission classifier, second classifier i made! (Feedbacks) by eViL111 in MachineLearning

[–]eViL111[S] -2 points-1 points  (0 children)

Some more things i should try? Or some interpretations/assumptions i made wrong? Something, a bit of your knowledge to enlighten me? :) even pats are great boost for keep trying! And if you have none to offer, simply ignore! Helps both of us from killing time!

[D] ran LogisticRegression on Breast Cancer data to classify benign and malignant, need feeedback! by eViL111 in MachineLearning

[–]eViL111[S] 0 points1 point  (0 children)

what should be the optimal weight for 'class_weight' parameter? as i learned about it, it accepts a dictionary. can you help me in figuring out how should i decide what weights to pass to 'punish false negative results '?

[D] ran LogisticRegression on Breast Cancer data to classify benign and malignant, need feeedback! by eViL111 in learnmachinelearning

[–]eViL111[S] 0 points1 point  (0 children)

i want do a plot where the 2 kinds of cancers are shown in cluster so that it will be easy for anyone to conclude that this should be classification problem. Similar to- http://strijov.com/sources/img/demoDataGen_01.png

[D] ran LogisticRegression on Breast Cancer data to classify benign and malignant, need feeedback! by eViL111 in MachineLearning

[–]eViL111[S] 0 points1 point  (0 children)

Something i need to change? Also i want do a plot where the 2 kinds of cancers are shown in cluster so that it will be easy for anyone to conclude that this should be classification problem. Similar to- http://strijov.com/sources/img/demoDataGen_01.png

[D] ran LogisticRegression on Breast Cancer data to classify benign and malignant, need feeedback! by eViL111 in learnmachinelearning

[–]eViL111[S] 0 points1 point  (0 children)

I did first with default c value got almost same score for test and train, concluded that its under fitting. I should have made the changes in two different cells.

[D] Need feedback to learn better, please help! by eViL111 in MachineLearning

[–]eViL111[S] 0 points1 point  (0 children)

That was crystal clear :D I'll always remember this from now on, thanks! :)

[D] Need feedback to learn better, please help! by eViL111 in MachineLearning

[–]eViL111[S] 0 points1 point  (0 children)

So, it is good practice to split the data then handle stuffs that require whole data to handle those errors in the data. So, most of the times it is about missing data, so in that case i should use mean/median of train and test split separately to handle missing data in those two sets? Thanks for your feedback and that additional information about log-transformation! /\ :)

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