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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

Improving Accuracy Of A Tensorflow Neural Network- Python

This is a continuation of my first question: Receiving random cost output on tensorflow regression-… Read more Improving Accuracy Of A Tensorflow Neural Network- 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?

Specific Number Of Test/train Size For Each Class In Sklearn

Data: import pandas as pd data = pd.DataFrame({'classes':[1,1,1,2,2,2,2],'b':[3,4,5… Read more Specific Number Of Test/train Size For Each Class In Sklearn

Classification Metrics Can't Handle A Mix Of Binary And Continuous Targets

I try to train and test several scikit-learn models and attempt to print off the accuracy. Only som… Read more Classification Metrics Can't Handle A Mix Of Binary And Continuous Targets

Keras - Precision And Recall Is Greater Than 1 (multi Classification)

I am working on a multi classification problem using CNN's in keras. My precision and recall sc… Read more Keras - Precision And Recall Is Greater Than 1 (multi Classification)

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 To Handle Lstms With Many Features In Python?

I have a binary classification problem. I use the following keras model to do my classification. in… Read more How To Handle Lstms With Many Features In Python?