Level0 | Web-based OpenStreetMap Editor | Editor library

I'm trying to extract each first occurrence of a character before a keyword. In the string below, the idea would be to extract the position of ">" just for lines that contain the word "Change", and should match 3 ">" on the 3 last lines.

I am running some tests to send emails from my python script with 2 dataframes: one is raw (ie without styling) and the other one is with styling. For styles I followed the example (output 9) from the pandas-style documentation

I copy/pasted the definition of the styling function below:

I have three Groups - CAPITAL, FIXED ASSET & CURRENT ASSET (pink color), If the row has another row under it, then it will become a parent(orange color).

When I add a new row (level 1) at the bottom of the group, it will sum the value to the parent and group. But actually it should only sum to the group as it is in level 1 and it has no child under it.

The X meaning the amount should not appear at the row. It should not sum to the parent as it is not the child of the parent. How do I make the level 1 always sum to the group only?

In my JSFiddle/Code Snippet(Just an example, mine is a dynamic table)

I have three Groups - CAPITAL, FIXED ASSET & CURRENT ASSET (pink color), The row will be child(white color) if no other row under it. If the row has another row under it, then it will become a parent(orange color).

Users only can input value in the child. The total value of the child in the group will show at the rows of group and parent(if have) **Rows that have color background cannot insert value

I want to calculate the total amount based on the group and the grand total amount. For now, I only success calculate the grand total amount as shown in my JS Fiddle or code snippet. JS Fiddle I do not have any idea on how to calculate based on group condition for the table and calculate up the amount. Does anyone have an idea??

Result that I expected:

This is the current result that I get:

Given the following table/code, I'd like to add or adjust three items. I don't know Jquery well enough as I just learn programming within two months and this code was refer from other places and I made some adjustment for it. Anyone who could help me I will be very appreciate, I have try this expand and collapse function for two weeks but I still cannot get the result that I want so I post here to ask for help.

Here are the three items:

1. For the parent that do not have child will not show '+' when I click on the hide all, for example in my fiddle, the capital share and capital contribution does not have child below it but it still appear '+'. Please see the image attached [Current Result & Expected Result]
2. When I show all, I want to show '-' for the parent or child that able to collapse as a group. Please see the image attached [Expected Output Result]
3. After I click Hide All, when I click expand the Fixed Assets, It should only appear Building and Computer, not including the child of Building and Computer. When I click expand on the building, then it only expand the accum. dprn building. Please see the image attached [Expected Result]

Here is the table I'm using:

I am trying to get data from a website.

Everything seems to be correct (xpath was tested on the shell):

I'm ripping my hair out on the following so I'm kindly asking for help here.

I have an array of durations in minutes whose total is one day (1440 min.)
I have another array with a value which represent a protection level : 0 to 5.

I try to solve a common problem in medicine: the combination of a prediction model with other sources, eg, an expert opinion [sometimes heavily emphysised in medicine], called superdoc predictor in this post.

This could be solved by stack a model with a logistic regression (that enters the expert opinion) as described on page 26 in this paper:

Afshar P, Mohammadi A, Plataniotis KN, Oikonomou A, Benali H. From Handcrafted to Deep-Learning-Based Cancer Radiomics: Challenges and Opportunities. IEEE Signal Process Mag 2019; 36: 132–60. Available here

I've tried this here without considering overfitting (I did not apply out of fold predictions of the lower learner):

Example data

Why does the classification performance degrades when I shuffle the test dataset?

For replication purposes: I created an imbalanced dataset: