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I'm working on a multi-label classifier. I have many output labels [1, 0, 0, 1...] where 1 indi… Read more Customize Keras' Loss Function In A Way That The Y_true Will Depend On Y_pred

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

I need to use boosted cascaded training to classify some images in scikit-learn. I want to classify… Read more Plotting A Graph On Axes But Getting No Results While Trying To Classify Image Based On Hog Features

Im trying to use scikit-learn for a classification task. My code extracts features from the data, a… Read more How To Force Scikit-learn Dictvectorizer Not To Discard Features?

I have a very simple 1D classification problem: a list of values [0, 0.5, 2] and their associated c… Read more Extract Decision Boundary With Scikit-learn Linear Svm

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

I am checking using the below function what are the most frequent words per category and then obser… Read more Classification Is Poor Although Term Frequency Is Right

INTRO I have a Pandas DataFrame that represents a segmented time series of different users (i.e., u… Read more Scikit-learn Labeled Dataset Creation From Segmented Time Series

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)

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

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

I am trying to use sklearn.mixture.GaussianMixture for classification of pixels in an hyper-spectra… Read more Multiclass Classification Using Gaussian Mixture Models With Scikit Learn

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)

my first post here! I have problems using the nltk NaiveBayesClassifier. I have a training set of 7… Read more Nltk Naive Bayesian Classifier Memory Issue

I am trying to classify data based on prespecified labels. Got two columns and shown below: room_cl… Read more Classification Accuracy Based On Single Feature Set

I have a Keras model for predicting moves in the game. I have an input shape of (160,120 ,1). I hav… Read more Same Output Of The Keras Model

my first post here! I have problems using the nltk NaiveBayesClassifier. I have a training set of 7… Read more Nltk Naive Bayesian Classifier Memory Issue

I'm using the SVM Classifier for classifying text as good text and gibberish. I'm using pyt… Read more SGDClassifier Giving Different Accuracy Each Time For Text Classification

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