FMFaith Mwendeinbeginnerslog.hashnode.dev·1d ago · 4 min readI Finally Understand AUC, Confusion Matrix, and Classification Report (Day 4)Day 3 was splitting. Day 4 was my first actual model : a baseline logistic regression. The model trained fine. The AUC looked great. But the confusion matrix and classification report are what finally00
FMFaith Mwendeinbeginnerslog.hashnode.dev·1d ago · 3 min readSplitting Fraud Data Without Breaking the Ratio (Day 3)Day 1 was setup. Day 2 was looking at the data. Day 3 was the first real modeling decision: how do I split this data without breaking it? The problem it solves You can't train a model on all your data00
FMFaith Mwendeinbeginnerslog.hashnode.dev·3d ago · 3 min readWhat I Learned From My First Look at Fraud Data (Day 2)Day 1 was setup. Day 2 was the first time I actually looked at the data and the numbers immediately broke my assumptions. Here's what the credit card fraud dataset told me. The problem it solves I had00
FMFaith Mwendeinbeginnerslog.hashnode.dev·3d ago · 3 min readHow I Pulled a Kaggle Dataset Into Colab (Day 1 of My Fraud Project)I'm building a credit card fraud detection project from scratch. But before I could touch any data, I had a smaller problem: how do I actually get a Kaggle dataset into my notebook? My old method was 00
