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Questions tagged [prediction]

The tag has no usage guidance.

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Linear Regression Approaches for Scoring Cell Images

I have 2K TIF images of cells; the images have a corresponding CSV file containing the image file name and the label of cellularity score of the image (between 0 and 1.0). My target is the "Score" ...
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1answer
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Predicting sequences newbie question

I have a ranked list of rows of 100 lines of data 1- 8 4 0 5 9 3 2- 0 3 3 5 3 2 3- 0 0 2 4 0 2 .. 100- 0 2 3 2 2 0 Is it possible to predict a) when given a new ...
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6 views

Manual Input Increase Probability In Machine Learning

I have been building a neural network using Tensorflow to predict the location of flying object. I have been able to successfully run the data through and get a predicted output, but I want to include ...
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0answers
14 views

Import the same interval of previous week into the deep model

In a dataset, the data are the average of vehicles speed in the points (cells) of a map. I am trying to build a prediction model. While the inputs are the average of vehicles speed of all points in ...
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18 views

LSTM data scaling formula based on range

I am planning to run LSTM for a prediction project which has the following input ...
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0answers
10 views

Coefficient of Determination in a 2d space

I am currently working on a project about visual engagement prediction and I would love your help. I need to calculate the Coefficient of Determination $R^{2}$ in order to evaluate if the data that I ...
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0answers
13 views

Disease prediction over Big image data using Deep Learning

I was working on some medical image data set. These data set are publicly available, here. Now, I'm trying to build a disease prediction system by analyzing over this image data sets using state-of-...
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0answers
20 views

Calculate coefficient of determination (R-squared)

this is my first question in this Exchange so let me know if I should reformat anything. I am working with 2D images of dimensions (w,h). I collect data from users and sample their activity on the ...
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1answer
86 views

Accuracy for Kmeans clustering

I am looking for accuracy python code for kmeans clustering with no labels. Is there anyone who knows about it? it is ok that is not built-in function. Manually made is also ok
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1answer
30 views

What algorithms are good to predict next numbers?

Let's consider we have several hundreds of numbers like ( 1, 2, 5, 8, 7, 15, 19, 8, 4, 6, ...) those are closed numbers of a stock on consecutive days for example. I like to know what algorithms are ...
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0answers
3 views

I have to find homography transform parameters which are 8 in number with the help on CNN [closed]

I have to find homography transform parameters which are 8 in number..I m using a pretrained residual network. The problem I am facing is I am not able to use model.fit() as it takes argument such as ...
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1answer
17 views

How to predict unknown(hidden) value by incomplete value or partly recorded value

Let me make it clear by make an example: Suppose I knew a person's cost each month for 3 years like: 2016Jan : $2500 2016Feb : $4000 2016Mar : $3500 ... Just according to this, can I ...
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2answers
74 views

sales price prediction [closed]

I have to find make a classifier for price prediction of a item. The question I have is which columns I should choose for price prediction. Also which machine learning classifier would be good to ...
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0answers
11 views

How can I conditionally combine predictions?

I understand how to combine predictions based on a weighted average, but how can I conditionally apply another prediction? The goal is classifying text strings into positive (...
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1answer
23 views

How do I use a model after it's fitted to predict the class of a single string?

After a model is built, how can I use it to predict the class of a single string? model.predict() is returning something like ...
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0answers
32 views

Improving population weighting

Bit of a noob in this stats world, so apologies in advance for any naiveté. I did a fair bit of stats long ago in college but it's a distant memory, so please assume little knowledge! The dataset I'...
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1answer
24 views

Neural network for variable length data classification

How can I create a network which can predict labels of variable lengths data: Training data: ...
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0answers
11 views

binary classification for counting - estimating the error on counts due to error on prediction score

Ok, so I have the following set up: I have a binary classification problem and I am classifying events into signal and background. Ultimately, I want to count how many background events and how many ...
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0answers
16 views

How to calculate and print unseen time series values for LSTM after train, valid and test data

My dataset is time series data. It contains data of 10 packages. trainX = (1410,3,15), trainY= (1410,1), testX=(110,3,15), testY=(110,1). Input is three feature vectors of last three months and i am ...
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2answers
27 views

How to predict weather? [closed]

I want to know how does one predict day to day weathers. Like what are the factors that must be known to predict day to day weathers using a NN. Few factors I could think of are: Humidity Weather ...
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0answers
24 views

one predictive methods

Is there any algorithm/method/system/application that combine all predictive methods into one? so for users instead of deciding which method they should use, is there any platform that you just feed ...
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1answer
22 views

predicition for a specific month

I am attempting to build a predictive model based on the past historical data. I have details of specific machine failure based on the past year data. I have data from some months of 2016 and from ...
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0answers
29 views

Dataset containing spatial and temporal features (built on a CNN model)

A dataset contains spatial and temporal features. It contains the time series data (2 min intervals) of the sections of a map. It is 320*480 (320 map sections and 480-time intervals). Each row ...
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1answer
260 views

how to interpret predictions from model?

I'm working on a multi-classification problem - Recognizing flowers. I trained the mode and I achieved accuracy of 0.99. To predict, I did: ...
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1answer
34 views

How do I predict continuous value from time series data?

I have a glove that have 2 IMUs (Inertial Measurement Unit) attached to it. It can give the rotation value as Quaternion (x,y,z,w) and acceleration of the hand (x,y,z). I put it on my left hand and I ...
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0answers
37 views

Time-series prediction/forecast coupled with classification [closed]

I am trying to predict a danger zone. I have a multidimensional time-series data and I want to forecast two timeseries for a defined number of time points. Then, I want to classify my predictions and ...
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2answers
109 views

Train an LSTM neural network with time series containing seasonal and trend

I am working on a project for predicting the number of DNS queries from the site: DNS queries statistics. The data I use is minutely data, which means the number of DNS queries of every minute. If ...
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0answers
24 views

Naive/ Persistent Models & 7 Day Forecasts

When determining the baseline performance using a persistent or naive model I understand it to be using the value of the previous time step as the prediction for the next time step and then ...
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0answers
130 views

Time Series prediction with multiple features in input data

Assume we have a time-series data that contains the daily orders count of last two years: We can predict the future's orders using Python's statsmodel library: ...
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1answer
92 views

How to properly predict date using Orange 3

First of all - I'm new to all of this. I'm trying to create a model to predict the release of ios 12 based on previous years. I've got an excel that has a format like this: ...
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52 views

What all methodologies are there in Data Science/ML to predict the next transaction date of a customer?

I've a data-set with three columns: customer_id, transaction_date & sales_amount. Product data can also be added but to avoid complexity, I've not added that. The objective on which I'd like to ...
5
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1answer
62 views

Make classification and prediction at the same time

I am working on the detection and prediction of epileptic seizures and I was thinking about something : would it be possible to apply classification and prediction at the same time. I mean, having ...
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0answers
34 views

Explaining ROC curve

I am running classification algorithm on binary class classification problem where I achieve ~85% precision and ~84% recall rate. My issue is that ROC score looks quite edgy and there are only few ...
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2answers
41 views

Why does prediction by a consensus of classifier work better than prediction by a single classifiers?

I have seen that consensus of classifiers (taking say 5 separate classifiers) and obtaining the final labeling of the unknown sample based on the voting method (whichever class gets the predicted the ...
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0answers
12 views

How to decide which forecasting model to use? [closed]

So I have a sales forecasting problem where I have 3 years worth of data about weekly sales of a certain company. There are 3 types of retail stores in that company, Type A, B, and C. There are a ...
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1answer
32 views

Inference of root mean square value in terms of house prediction

The objective of the task is to predict the housing prices. A model is created based on California housing dataset to predict housing prices and is subjected to evaluation using the below code. ...
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0answers
35 views

Predict time series using NN trained with multiple TS [closed]

I'm trying to predict time series using RNN from keras and I have several time series to work with (these are sales from some stores, just usual 1D TS). Right now I can train one simple model using ...
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0answers
183 views

Tensorflow - Clarification on how to predict more than 1 step ahead using LSTM

I'm looking for some clarification on how to perform more than one prediction ahead using long-short term memory in Tensorflow for univariate time series. The reason is that I'm having problems when I ...
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1answer
101 views

How can we define missing rating in recommender system?

I was reading about collaborative filtering where we need to pass (user, item and rating) in case of matrix factorisation (SVD). Now, my question is given data of ...
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3answers
148 views

Forecast vs Prediction: What is the difference?

I use the two terms as follows: A prediction model gets features (which can be a time series) as input and gives a fixed-length output (might be multiple values, but "atomic" in some sense) Examples:...
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26 views

Predicting a new document [closed]

I have a document, (purchase agreement) of approx. 100 pages. This document is sent from buyer to seller several times, and each time there is a negotiation. Negotiation could be anything. For eg. ...
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1answer
62 views

Predicting Customer Activity Absence

Could you please assist me with to following question? I have a customer activity dataframe that looks like this: It contains at least 500.000 customers and a "timeseries" of 42 months. The ones and ...
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2answers
44 views

Estimate battery voltage based on scheduled events and previous behaviour

My goal is to estimate if a battery will have enough charge for certain other systems to be powered. The power state of the other systems is recorded (i.e. if they are turned on or not), as well as ...
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0answers
79 views

Real-Time signal processing with RandomForestClassifier in sklearn

I am trying to perform real-time decision making on data from a radar sensor and trying to detect occupancy. I generated data using the same sensor annotated it manually as vacant or occupied. I ...
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1answer
46 views

How do I use rnn to forecast to n periods with limited data?

So this is my 1st time trying to run a small time-series dataset through an RNN, but after a lot of searching, I haven't been able to find, 1. How I can use this to forecast to n periods ? (like in ...
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0answers
36 views

Orange: Predictions widget on same data gives different results

I have built a simple tree predictor and then applied this to a new set of data. This was giving a very different probability distribution so I tested connecting the same training data and comparing ...
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1answer
41 views

How to predict next year's gross revenue given this year's data?

I have the following dataset (.csv format) which contains: 100 columns: $\textbf{Period}$ (in years, e.g. 2017, 2018, ..., 2028), $\textbf{Gross Revenue}$, $\textbf{Region}$ (e.g. APAC, NEMEA, etc), ...
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1answer
23 views

Predicting which apps users may be interested in

I am building a mobile app that can predict what apps users may be interested in downloading from the play store, based on what apps the user has already installed on their device and how much time ...
2
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1answer
1k views

Simple prediction with Keras

I want to make simple predictions with Keras and I'm not really sure if I am doing it right. My data looks like this: ...
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0answers
26 views

Prediction questions related to the dataset

I have been self-learning data science from different sources. I have a dataset which was sent to me by my friend from one of her college courses. The work is to be done in R preferably. Description: ...