Questions tagged [classification]

An instance of supervised learning that identifies the category or categories which a new instance of dataset belongs.

Filter by
Sorted by
Tagged with
0
votes
0answers
5 views

structuring time dependent features classification

I have a binary classification task at hand to predict Status = 1,0. The independent variables are a function of time, with each row representing a task that updates the status if things change . in ...
0
votes
1answer
17 views

How to predict an outcome within a specific time window?

I have a dataset which has around 10K records. My objective is to predict whether the customer will churn or not. Binary classification problem with each class representing around 55:45 proportion ...
0
votes
1answer
7 views

is there cross validation for xgb classification for multi labels?

is there cross validation for xgb classification for multi labels? I have been search but can not find any cross validation for xgb classifier is using cross validation for xgb or xgb classifier ...
0
votes
1answer
19 views

Classification with feature not available at time of model creation

I have problem statement to predict the probability of solving a task depending on multiple features for e.g. when the task was created, the time needed to work on a task, etc Please find a dummy ...
1
vote
1answer
15 views

Is this scheme correct for logistic regression with stochastic gradient descent

I am implementing logistic regression with stochastic gradient descent, but it is not working as expected. I've tried many epochs and different learning rates $\alpha$ but the probability of belonging ...
0
votes
1answer
12 views

Python and Titanic competition how to get the median of specific range of values where class is 3

I am trying to solve Kaggle's titanic competition. In the test set, there is only 1 row having Fare value as null. It's so easy to replace it with median or average of all Fare values. But I am ...
3
votes
1answer
41 views

Is there a way to recognize which of these scatter plots is “better”?

I doubt better is the correct adjective, apologies for that. What I mean is this: I have a set of files (1200~) each paired with a scatterplot image. I need to find a way to classify which data files ...
1
vote
0answers
26 views

Post-classification after inference in deep learning models

I designed a fire detection using Deep Learning binary classification in Keras (fire vs none). It's a simple model with a few layers. In my training dataset, I ...
0
votes
2answers
41 views

Cannot make a single prediction: Is this behavior normal?

I am running a hate speech classifier published by Davidson et al. The principle is simple, the classifier takes as an input an annotated ('hateful', 'offensive', 'neither') dataset of tweets. It ...
0
votes
1answer
24 views

Class asks me to give self for Naive Bayes Model python

I try to use the following code but when I try to use fit function with my X_train and y_train, I get the following error: <...
-1
votes
0answers
11 views

How can the influence of unknown samples on a model be determined that were not used for training?

I am searching for the correct term or research area: For an already trained supervised model, more precisely a classifier, it should be calculated or estimated, which influence a not yet seen sample ...
1
vote
1answer
20 views

Data augmentation in deep training

I'm trying to understand the role of data augmentation and how it can affect the performance/accuracy of a deep model. My target application is a fire classification (fire or not, on video frames), ...
0
votes
1answer
23 views

How to determine irrelevant data in binary classification?

Suppose I was looking at social media to find users' intents on trading stocks. I might have a binary classification model that predicted "buy" and "sell". However, it's obvious that most social media ...
-1
votes
0answers
23 views

Car classification [closed]

i want to classify cars into make and model (year would be good too but i need too much data for that) for example. BMW X4, BMW X5, BMW 540, Audi tt, Audi s6, Audi s8, ford..., opel..., Volkswagen... ...
1
vote
2answers
35 views

Different performance for splitting into test/train data vs. using cross-validation

I am training a linear model using the following scikit-learn setup: ...
0
votes
0answers
13 views

Image-to-Image Regression for GO territory classification

I'm trying to implement a neural network that is able to generate an image indicating territory occupation given a board state for GO (a strategy board game). Input images are 19x19x1 grayscale images,...
1
vote
1answer
35 views

Random Forest Variable Importance in R and Python

I am new to random forests and have tried to implement it in both R and Python. I was following a paper that compared the two and followed their exact steps, however, when I plot the variable ...
2
votes
0answers
37 views

Predict a label based on multiple rows each one case?

I need to do a classification of binary labels. The dataset represents a loan procedure. So one row is a certain moment of a process for a certain case. The dataset consists of several cases more ...
3
votes
1answer
14 views

Do i need to use hyperparamters from Gridsearch to train on WHOLE training set to get final model?

I just want to make sure i am on the right lines so please correct me if wrong. I am testing which hyperparmets are best for logisitic regession on my data X, y where X is featrues and y is target. X, ...
1
vote
1answer
32 views

Difference between SVM and GD/SGD?

My colleague mentioned that a data science project is using SGD classifier. So I started reading about GD/SGD and came across a nice article about Text classification using SVM and GD. In the end of ...
1
vote
1answer
23 views

How does a 3D, 4D,.. hyperplane look like (visualization)?

I am looking at support vector machine classification algorithm. It finds the optimal hyperplane. In linear algebra, hyperplane is a space that is one dimension lower than the ambient plane. For ...
1
vote
1answer
31 views

SMOTE for multilabel classification

I have a dataset with 77 different labels. Each sample has one or more of these labels. I did some data analysis and found out that the dataset is highly imbalanced - there are a large number of ...
1
vote
0answers
12 views

Multiclass Classification Task - Performance on Each Class Compared to Chance?

As a part of a classification task, a classifier has decided whether different books belong to class A, B or C (which are imbalanced) by looking at certain feature of the book. I have calculated ...
2
votes
1answer
16 views

Use LSTM to predict the proportion of steps with nonzero feature values

I am trying to do a simple regression for sequences. Each input $X_i$ is a $n=2000$ by 1 matrix, formatted as $n_i$ 0-s followed by $(n-n_i)$ 1-s. The output $y_i$ should be $n_i/n$, i.e. the ...
2
votes
1answer
25 views

Extracting encoded features after CatBoost

I have a dataset containing numerical as well as categorical variables. After I've fit my dataset to a CatBoostClassifier, I want to extract the entire feature set, with the categorical variables ...
0
votes
1answer
34 views

How to select one record from multiple record for a subject during analysis?

I have a dataset where I am working on a binary classification. I have two classes of subjects. One is Outpatients and Other is Inpatients. (66:33 is the class proportion) My objective is to identify ...
0
votes
1answer
24 views

Getting feature vectors from CatBoost pool

I have a dataset with some numerical and categorical features and I am trying to apply CatBoost for categorical encoding and classification. Since my dataset is highly imbalanced, with a large number ...
2
votes
2answers
130 views

What do I do when my column has 50% data missing?

I have a data set i am pre-processing. However in my categorical columns (3 of them) i have "??" in it's place. They constitute 50% of the data. In fact 3 columns have this. My question is how should ...
0
votes
1answer
21 views

Techniques for increase random forest classifier accuracy

I build basic model for random forest for predict a class. below mention code which i used. ...
0
votes
0answers
24 views

Multi-output and heterogeneous models

What models (including software) support multiple outputs/responses which can have their own loss functions? For example, suppose I would like to fit a model with multiple outputs where one output ...
0
votes
1answer
30 views

Classify graphs using machine learning

I am trying classify an input graph (a 2D point sequence) into one of the predefined graphs (A,B,C etc) using machine learning. The goal is to identify which type of graph the input graph belongs to. ...
1
vote
0answers
14 views

Multiclass AUC score higher than binary

I just built a random forest classifier and wondered about the results. I have 4 classes: A, B, C and control. When I compare A vs control, B vs control, C vs control I get a lower average AUC score ...
2
votes
0answers
15 views

GuassinaNB parital fit not working properly

I'm trying to make a partial fitting with GuassianNB here's small snippet of my code ...
1
vote
1answer
19 views

Decision tree in sentiment analysis

Creating a classifier to do "Sentiment Analysis" can be done with several algorithms like SVM, KNN, Neural networks,Decision tree... and lately i have read about Decision tree and how it works and i ...
0
votes
0answers
11 views

Which one is used to calculate the number of data needed for Machine Learning Models?

I am wondering which one is used to calculate the needed number of data for Machine Learning models between Hoeffding's Inequality and Power Analysis. I don't know which one people use when we need to ...
1
vote
2answers
20 views

Does it make sense to train multiple classifiers for multiple partitions of data?

Let's say I have a dataset consisting of 100 features and a binary target variable. On exploring the data, I see that Feature 10 which is binary, seems to split the data in an 80:20 ratio with respect ...
2
votes
1answer
16 views

Classification algorithm with multiple output for a set of features

I want to build a classification algorithm that will predict multiple values for a set of features. For instance, lets say I have a customer demographic data like Income, age, sex, city and I want to ...
2
votes
0answers
30 views

How can I improve the accuracy of my model? (Cab Cancellation Prediction)

I am trying to predict based on several parameters like trip type, car type, source of booking, start time, lead time (start- book) and a few other params whether or not a customer will cancel. From ...
2
votes
1answer
35 views

Word Embedding or Hash?

In my dataset I have a 'text' column and a 'followers' column containing lists of follower IDs, i.e. '1093777852477116417, 936194589043683328,...'. Some of the 'followers' values contain thousands of ...
1
vote
0answers
19 views

Neural-Networks - preferred method for training, classification v.s. regression

As a conclusion of their paper "Efficient Backprop" (http://yann.lecun.com/exdb/publis/pdf/lecun-98b.pdf) (§10 Discussion and Conclusion), LeCun and others conlude that the preferred method for ...
0
votes
0answers
10 views

How to do template matching without opencv?

How to do template matching without opencv ? I have a order invoice of documents belonging to Amazon ,ebay,flipkart,snapdeal and i want to extract few information from the order invoice . Since the ...
2
votes
0answers
17 views

Approach to classify blocks of time series

I am wondering if there exists an approach to classify blocks of time series, and not specifically individual time series. If so, can you point me out papers/articles/tutorials where these type of ...
1
vote
0answers
7 views

How does one use activation function with greater than [-1;1] range for binary classification?

In Efficient Backprop (http://yann.lecun.com/exdb/publis/pdf/lecun-98b.pdf), Lecun and others propose to use activation function that don't reach target values on their asypmptotes. They explain (§ 4....
2
votes
1answer
31 views

Dealing with low-information centroids using Nearest Centroid Classifier and bag of words method

I am currently working on a problem where we have projects and e-mails that belong to a single project each. My goal is to create a recommendation system for incoming e-mails which presents the ...
3
votes
1answer
119 views

classification imbalance data - bias and class weight

This page shows a classification problem. They have used bias as well as bias along with class weights. What is difference between bias and weights? In some other techniques such as Random Forest we ...
2
votes
2answers
86 views

Modelling data with Machine learning without a target variable

I want to understand the required steps that need to be taken into account while handling a dataset that does not have a target variable. I can do machine learning on top of a labeled dataset having ...
1
vote
0answers
16 views

How to handle imbalanced Data set features for classification problems?

I have a Data set with 300 features that are dummies 0 or 1 and two classes for output 0 or 1 and the distribution of classes is 48% and 52%, but the distribution of the features is skewed as in the ...
1
vote
1answer
40 views

Assistance needed on what machine learning approach to use

👋 I'm currently writing my Master's Thesis on Subjective tagging of sounds and I feel that I've been stuck with the same problem for quite a time now and need assistance to progress. I'll, in short, ...
0
votes
0answers
18 views

Encode features for Machine Learning Model

I am working on a classification problem on medical reports. I am taking ngrams as features. The problem is that there are few attributes that a single ngram can posses. For example, if 'abdominal ...

1 2 3 4 5 39