Questions tagged [prediction]

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Confidence interval for class membership probabilities

I would like to calculate confidence intervals for predicted probabilities of a class membership obtained with randomForest. I know I could use predict.all in randomForest(), which gives me the ...
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*(CATEGORIES[int(prediction[0][0])])* giving me different result for single image prediction from saved model

From a saved model, I am trying to predict a single image. I followed this code - https://www.youtube.com/watch?v=A4K6D_gx2Iw I am getting different result for two different command- ...
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2answers
59 views

how do I predict the next's alarms ? (time series) [closed]

I'm trying to solve a time series forecasting problem, where the main goal is to read data with various alarm logs and make a prediction about what may happen in the future. Specifically, my data is a ...
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1answer
24 views

Algorithm for Multivariable timeseries prediction (COVID forecast)

I am trying to forecast tomorrow's COVID-19 cases in my country. I tried a simple Linear Regression implementation based on the "new_positives" field but it does not work very well. I had ...
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1answer
13 views

Predict real world data after modelling with scaled features [duplicate]

I trained and test a model with scaled features. Now, I want to predict a single real world sample. If I have one sample alone, I can't scale it to fit into the model like I did with the test data. I ...
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1answer
14 views

Is it possible to predict sentiment of unlabelled dataset using BERT?

I have a large unlabeled dataset and I want to predict sentiment for each document in this dataset. I want to know, is it possible that I can use BERT for sentiment analysis of unlabeled data? I have ...
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1answer
27 views

target variable prediction among possible answers

I have a dataset on which I would like to apply a Machine Learning algorithm for multi-class classification. An example of my target variable (in string format, will be later ...
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29 views

What algorithmic solution would you use for this scenario?

The Project In a Nutshell Use an algorithmic solution to predict with 70%+ accuracy in as close to real-time as possible the increase and decrease of at least three numeric incremental movements for a ...
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13 views

Why does my model fail to predict on the whole dataset?

So I have about 3000 images with 6 classes and this is what I did: 1 - split into training set and test set prior to anything with 20% test size 2 - performed data augmentation on the under ...
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1answer
38 views

Sir Rod Stewart's and Celine Dion's voice after 15 years i.e. Year 2035 [closed]

https://www.google.com/search?sxsrf=ALeKk03hQn_rH1aaf7yO0q7CgN7CxPw2vw%3A1601345036018&ei=DJZyX9BW_o_j4Q-Fn77QCg&q=rod+stewart+age&oq=Rod&gs_lcp=...
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1answer
19 views

How to approach the dataset with a continuous and discrete label?

Let's say you're predicting the amount of money to bet in a poker game. Based on the game situation, you might decide to fold. In that case, the amount of money to bet is zero. If you decide to call ...
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1answer
33 views

Regression performance varies hugely on shuffling training and testing data

I'm working on a regression problem to predict a variable y based on an input vector X with about 10 columns. To split the data for training and testing, I use the ...
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1answer
40 views

Predicting game scores using sklearn

I am using onehotencoding and RandomForestRegressor to predict scores of a set of soccer games. How can I use it into ...
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15 views

Error in predictions using glmnet() function in R

I've got a problem with my code, whilst making predictions using glmnet() Here is my code plus an error which occurs: ...
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1answer
103 views

Understand the equations of quantile regression forest (Meinshausen)?

I am trying to implement a quantile regression forest (https://www.jmlr.org/papers/volume7/meinshausen06a/meinshausen06a.pdf). But, I have some difficulties to understand how the quantiles are ...
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1answer
27 views

How to use a multiple linear regression model built from normalized data

I built a linear multivariable regression model from normalized data (for the interval [0; 1]). Initially, the data was not normalized, I normalized the data by myself (independent and dependent ...
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1answer
73 views

Machine Learning: Predicting target based on a feature

I have a df looks as follow: -It is very likely that the same feature1Xfeature2Xfeature3 combination will appear multiple times....
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7 views

Estimating the progress through a workflow with an arbitrary number of steps

I have a dataset where a record (a customer order, to choose a made-up example) goes through a set of steps until eventual completion. The set of steps is generally very similar, with small variations ...
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0answers
36 views

LSTM model prediction scaling with loaded model

I am deploying a LSTM pytorch model for production and I have issue with scaling the LSTM output correctly. While the model was tested the output was scaled with label data: ...
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18 views

Stabilize Neural network prediction for class probability

I could not carry my question from stackoverflow I ve been trying to fit a neural network for binary setting using library(keras) and I am interested in class ...
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2answers
44 views

How to predict unknown unknowns in machine learning

I am dealing with a problem about classifying bird species through analysing MFCCs. I already built a dataset with 13 MFCCs for two kinds of birds. And I trained the data with Naive Bayes & KNN ...
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6 views

Why NARX neural network and Hammerstein-Wiener model perform worse than simple sigmoid network nonlinearity estimator on any predictions?

I am currently working on dynamic modeling and exploring different techniques and algorithms to deploy a dynamic time-series black-box model. My data looks like the following: I have 7 inputs and 1 ...
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31 views

Predict how many days until New Purchase

I am trying to introduce myself into predicting with dates and I am having big troubles understanding how to do it. I have a dataset with customer orders from an e-commerce platform with the usual ...
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10 views

Keras Predictions as a list of file names for each class

I've created a model using Keras, I have trained it with a training and validation set, and have used a test set filled with random number of images for each class. My test set consists of one folder ...
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32 views

Binary classification of multiple Sequences using Keras

I am trying to classify multiple independent sequences using Keras. My data looks like this (example with different stocks and their values). ...
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15 views

WEKA Multilayer Perceptron result is showing prediction probability instead of Prediction Value using classifyInstance

I need to print the prediction value of the trained and tested data set.I am using MultiplayerPerceptron method of WEKA in java.I need to find the predicted value . Below is the code where i am using ...
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1answer
40 views

Predicting equipment failure with time series alarm data

I am trying to predict machine failures based on alarm data. The situation: There is approximately 4000 machine failures per year. These are labelled poorly (it is entered manually and can have ...
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0answers
16 views

Improve confidence interval accuracy

I am doing a linear regression on log-transformed data and I use the bayesian approach to model the predictive distribution and construct my 90% prediction Interval. The problem with this approach is ...
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1answer
20 views

Predicting next element of a sequence given small amount of data

I have data of bank branches and amount of revenue they have generated in a month. The data looks like this: I am tasked to find the expected revenue for the branch for the next month using machine ...
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24 views

Why are Neural Network predictions “correct”, but offset from true value? Not using any past lagged values

I recently asked a similar question, but didn't get a response that really addressed/fixed the issue. Additionally, I've done some more work since then. I'm sorry for the long question below, I just ...
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3answers
1k views

Why are predictions from my LSTM Neural Network lagging behind true values?

I am running an LSTM neural network in R using the keras package, in an attempt to do time series prediction of Bitcoin. The issue I'm running into is that while my predicted values seem to be ...
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2answers
40 views

Why my training and testing set are about 99% but my single prediction does wrong prediction?

I have performed fruits classification using CNN but i am paused at a point where all things are going right confusion matrix accuracy score all are correct it seems there is no overfitting but it ...
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2answers
102 views

Machine learning to predict pollution at a single location

I have 2 months of air pollution measured data for a location of interest. I am highly interested to play with machine learning algorithms to predict pollution at the same location (let say, for the ...
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1answer
49 views

Can 1D-CNN method apply to real-time time series classification?

So I got an EEG dataset with shape (data points, 19), each row's shape (1,19) represent 1 second of EEG. I read much research on EEG classification that used many Deep Learning method and 1D-CNN is ...
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1answer
19 views

Predicting evolution of an unknown mathematical function with machine learning?

Is it possible to predict how a mathematical function evolves using ML? I am studying radioactive decay of polonium 210 and I have gathered data for its decay throughout a couple of weeks. I was ...
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1answer
22 views

Ingredients, Recipes and recipe ratings. I would like to predict the rating based on combination of ingredients

I would really appreciate some help on the first steps to my problem, suggestions of modeling techniques i could use or relevant research (i could not find any). I have a list of ingredients (150 in ...
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1answer
275 views

Multivariate, Multi-step LSTM time series forecast

I'm trying to predict the Pollution using a Multivariate and Multi-step LSTM code, I've been following this tutorial. I've been following the code until the end, but couldn't understand where the ...
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1answer
51 views

Keras Model Predict is not predicting all images flowing from directory?

I have the following code where I have done all the training and passed the testing set as a flow from directory. After that when I pass that object into the model.predict option, the array received ...
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13 views

What is a good accuracy level for a chatbot in keras?

I have build the model and despite the level of accuracy at 0.87 the answers to my questions are not good enough. And somehow I am not getting the 'EOS' tag, making the answers go 20 words and its ...
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1answer
25 views

best NN architecture for point prediction

I'm training to predict a single value y (continuos in [0,1]) based on a number of variables ...
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1answer
31 views

Prediction for not completely well classified data

I have a DataFrame of users, some of them are "bots" and they are identified with a bit equal to 1 in the "is_bot" column, if the bit is 0, the user is considered as "human". The problem is that some ...
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20 views

How to estimate the OCR accuracy

I am building a system which uses ocr to extract text but i have no way to flag that information on how correct it can be and if the information needs to be discarded by just looking at the image and ...
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0answers
12 views

When should I reverse normalizations to evaluate loss?

If I am training a neural network and have normalized the data before-hand, should I reverse the normalization to calculate the loss? This tutorial provides an example of this method. What if I'm ...
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15 views

Predicting the future event given the past sequence and backward

I have a problem of event sequence modelling and I want to model it with Artificial Intelligence (ML/DL) but I am not sure which algorithm to start with, I want to start simple instead of applying ...
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0answers
11 views

Measuring chance (“risk”) of being in some class

I don't know if this question fits better here or in statistics, but I think here is more appropriate. I have a dataset with several companies and its features and also I have the information if they ...
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1answer
42 views

Two-class model with predicted scores needed - classification or regression approach

In my problem, step one is to build a model to classify cases as one of True or False (1 or 0 could also be used obviously). Once the optimum model is found, step two is to retrieve probabilities for ...
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22 views

Which type of model should I use to predict when a time-series value will revert towards the mean?

I have a time series that consists of many rows, each with a timestamp, and a value between -1 and 1 representing the normalized price distance between 2 financial assets. Each entry is roughly evenly ...
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1answer
28 views

How to measure model success in production

I have a model running on a productive system. The model predicts if some lead will become a sale. How would you develop a check, which checks the success and the accuracy of the model? There is a ...
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1answer
96 views

Why is predict_generator is returning an empty array?

I am trying to print the predicted labels of my test data but the predict_generator() function is returning an empty array. My Model: ...
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1answer
29 views

How to use spectral clustering to predict?

In an academic paper, they talk about using a nearest neighbour algorithm to predict the cluster of a new point. And how the number of nearest neighbours is set to 10 in their example. What do they ...

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