g-shreekant / heart-disease-prediction-using-machine-learning Goto Github PK

You mentioned that Randomforest accuracy is 95% but when I executed it's showing that accuracy of 90% only.

While the project is about the Heart Disease Prediction, the description tells about the Stock Price Prediction. I know, it's a confusion while working in different projects. But, better update.

Hey, the dataset might have been deleted from Kaggle!

from sklearn.model_selection import train_test_split

predictors = dataset.drop("target",axis=1)
target = dataset["target"]

X_train,X_test,Y_train,Y_test = train_test_split(predictors,target,test_size=0.20,random_state=0)

from the above code you wrote predictors and please explain me in detail about predictors i mean which attributes comes under this predictors.

I have used the same dataset what you have used in your code and even code is taken reference from your repo, but i haven't achieved the same accuracy what u have got while fitting the dataset with random forest classifier. I have only achieved 90.16%.

I need More Accuracy in classifier, can you please make a hybrid classifer "

i get this error restart pls help me to resolveit
New Text Document.txt