Here is our team I_over_B solution. Please upvote the notebook!overview: We handled the imbalanced data by dropping unnecessary rows in both the train and test... See more

Thank you Zindi for a good competition.Below is a summary of my approach:1. Feature engineering2. Winsorization (Replacing extreme values with a quantile thres... See more

Hi everyone! 👋The results are in, and we are thrilled to announce the winners of the African Credit Challenge! 🎉 A huge congratulations to the top performers... See more

Here's my notebook for a mid-level private score of 0.66. https://www.kaggle.com/code/joshuaamayo/zindi-credit-scoring .Posting for any beginners to follow thro... See more

Hello Zindians! 👋I’m glad to share my solution to this Competition, which was actually my first competition in almost 2 years! it was a month fill of fun, fai... See more

First congrats to the 1k+ people who attempted this competeion and also to the top performers. In the selection of the final winners post code review , I hope Z... See more

Hi everyone,I found the challenge fascinating, but I struggled a lot with the issue of class imbalance (tried undersampling, oversampling, both, feature enginee... See more

Hi,I'm sharing here the magic trick I found to achieve 0.8+ public score and 0.78 private.To gain a considerable boost, you just need to set all loans to 1 if t... See more

Hello Zindi team, there seems to be an issue with my score. My submission was 72.78 in the private leaderboard, but now I see 66.13. I would like to point out t... See more

For learning purpuse, which method lead you to achieve a score on Public LB higher than 80?

I wanted to wait for the first challenge under the new feature to close and observe the results. Once the competition ended, I could immediately see the private... See more

I'm asking how did you increase your scores, especially for those who got a high public score of 0.72? What kind of methods did you use, such as post processing... See more

By comparing the scores of the public and private leaderboard in this competition, I found that the division method seems to be random.

i am getting CV as 0.995 F1 but cant pass 0.706 score on LB. Does anyone can suggest me the possible reasons?

Is there a reason why most of the loans are disbursement on the later half of the year (with the exception of December ?

Anybody who has looked at the disparity between Total Amount and Total amount to repay? I find that in some loans the amount being repaid is actually less than... See more

to the zindi gods here, what do you think of this?for the 70% of public evaluation, Ghana dataset has a correct prediction of 1 which gives a score of 0.217, wh... See more

Are people still having disparity between LB and CV? My CV has gone up to 0.91 but lb score still plateau-ing at 0.68. Seen many people break the 0.7 mark so cu... See more

Best wishes everyone

Is there any time limit for training and making predictions ?

i still didn't add them to my data but does they improve my model and any tips on how to add them

Sorry I'm a 1st timer here. It says in the rule: "Before the end of the challenge you need to choose 2 submissions to be judged on for the private leaderboard.... See more

Please, I want to understand more about the above feature. This was given in the variable definition, "Lender_portion_to_be_repaid: The portion of the outstandi... See more

df['calc_Lender_portion_Funded'] = (df['Amount_Funded_By_Lender'] / df['Total_Amount'])df['calc_Lender_portion_to_be_repaid'] = (df['calc_Lender_portion_Funded'... See more

Like seriously guys how are you getting 0.7+ scores. Its been weeks and I am nowhere closer.