@lynn57 wrote:
Hi,
I would like to ask if there are any resource on developing the outlier chart / Visualization for Multivariate variables (Eg: More than 10 features used on the outlier model)
The examples here are only when there are 2 features:
IX1 - inlier feature 1, IX2 - inlier feature 2
IX1 = np.array(dfx['Item_MRP'][dfx['outlier'] == 0]).reshape(-1,1) IX2 = np.array(dfx['Item_Outlet_Sales'][dfx['outlier'] == 0]).reshape(-1,1) # OX1 - outlier feature 1, OX2 - outlier feature 2 OX1 = dfx['Item_MRP'][dfx['outlier'] == 1].values.reshape(-1,1) OX2 = dfx['Item_Outlet_Sales'][dfx['outlier'] == 1].values.reshape(-1,1)
What if i have 10 features used in the outlier model ?
Is it possible to plot a chart like this ?(Sorry, I’m very new to this)
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