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Showing posts with the label Classification

Python File Format For Email Classification With Svm-light

I am working with email subject, so I have 20 emails i want to classify, and a file with 20 lines -… Read more Python File Format For Email Classification With Svm-light

Vectorized Relabeling Of Numpy Array To Consecutive Numbers And Retrieving Back

I have a huge training dataset with 4 classes. These classes are labeled non-consecutively. To be a… Read more Vectorized Relabeling Of Numpy Array To Consecutive Numbers And Retrieving Back

How Can I Know Which Is The Positive Class Value And Negative Class Value For Xgboost?

I am working with an imbalanced dataset where I have a class variable of 2 different values: 0 and … Read more How Can I Know Which Is The Positive Class Value And Negative Class Value For Xgboost?

Why Does Single-layer Perceptron Converge So Slow Without Normalization, Even When The Margin Is Large?

This question is totally re-written after I confirmed my results (the Python Notebook can be found … Read more Why Does Single-layer Perceptron Converge So Slow Without Normalization, Even When The Margin Is Large?

Adding Gaussian Noise To A Dataset Of Floating Points And Save It (python)

I'm working on classification problem where i need to add different levels of gaussian noise to… Read more Adding Gaussian Noise To A Dataset Of Floating Points And Save It (python)

How To Add A Feature To A Vectorized Data Set?

I want to write a Naive Base text classificator. Because sklearn does not accept 'text form… Read more How To Add A Feature To A Vectorized Data Set?

Class_weight For Imbalanced Data - Keras

I am trying to perform binary classification with a highly imbalanced dataset. My target values are… Read more Class_weight For Imbalanced Data - Keras

Classification Tree In Sklearn Giving Inconsistent Answers

I am using a classification tree from sklearn and when I have the the model train twice using the s… Read more Classification Tree In Sklearn Giving Inconsistent Answers