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Questions tagged [prediction]

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What is the difference between BAIR action free and action conditioned dataset?

The papers SV2P and SVAP talk about BAIR robot pushing dataset in 2 settings: action-free and action-conditioned. From the papers, I only understood that in action-conditioned setting, another action ...
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0answers
7 views

Logistic Regression Perfect segregation issue

Is it possible that a combination of independent variables are showing a perfect segregation in a binary logistic regression. As I am getting the warning: glm.fit: fitted probabilities numerically 0 ...
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1answer
24 views

Best metric in imbalanced classification for multi-label classification

My test data are imbalanced, i tried to use the precision or the gmean as metrics for a multi-label learning model, but both metrics are not very informative. Is there any way to use for example the ...
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10 views

Caffe CNN prediction gives poor accuracy on validation set despite success during training

I am new to Machine Learning, CNN and Caffe and I have an issue I would be very happy to solve. As part of a University project I must use a Machine Learning method to classify images into 3 classes. ...
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21 views

How to interpret a multi-label learning prediction

I am using a multi-label learning technique that takes into account the correlation between labels. Some lines( labels) are well predicted while others are not. I know that the performance of a multi-...
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0answers
16 views

How can I evaluate my sequence prediction model?

I want to evaluate the performance of my prediction model , which is an VED (Variational Encoder Decoder) used for sequences prediction (it predicts the next sequence knowing the actual) I want to ...
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1answer
14 views

Adding hour data to Date feature in time series prediction

I'm a noobie with regards to working with time series data. I have a time series data which has date column in YYYY-MM-DD and a hour column containing 0 to 23 representing hour of the day and the ...
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1answer
17 views

Explanation of MAPE formula

I have a regression problem with 150 independent variables and three response variables. To report the performance, I calculated the Mean Absolute Percentage Error using the unseen test dataset which ...
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2answers
42 views

difference betwen predicting seen and unseen data

I tried to test my model with seen and unseen data (seen data are data that i used to learn the model). I figure out that as much as i increase the number of features seen data can be properly ...
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2answers
37 views

Statistical methods for Sequence learning

I am bit more traditional and I am looking for a statistical method that can help me also do inference or predictions. I have some table that contains some transitions, where each row of the table ...
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0answers
7 views

How to weight models for ensemble learning where models dont always have an output?

I have a problem, where I need to weight models for ensemble learning, however, some models aren't always able to give a prediction. The problem to classify 1 unit to win out of several ( 5 - 10 other ...
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1answer
18 views

Comparing different classification results with different trainig and test data

I have different samples with different sizes. The instances of each sample have different features in comparison to the instances from the other samples. For each sample i train my model and tested ...
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13 views

Drawing Trees, finding Probabilities and Predicting

My first post here :) I have some transition states. Like below, where each row reflect to a specific process: ...
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3answers
366 views

Why can't my neural network learn how to predict the squares of natural numbers?

I want my neural network to learn to predict the square $n+1$ number having $n$ number. I am considering a regression problem. That's what I'm doing: ...
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1answer
22 views

Using a feature in prediction even if it gets zero as p-value?

I created two binary classification based logistic regression models and I got these results: Model 1: Accuracy: 67.51% AUC: 65.21% Model 2: Accuracy: 67,99% AUC: 65,70% The second ...
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0answers
24 views

Unable to Print or Save Predicted Results in Orange?

Well, I have applied some MOdels (Logistic, Tree, SVM, Neural Network, etc) in order to predict my results but when I was Printing or saving my Predicted results, I was unable to print the Complete ...
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1answer
19 views

Combining scaling, dimensionality reduction, prediction using sklearn pipeline

I would like to use a sklearn pipeline doing this : ( - ) scale the data ( StandardScaler ) ( - ) reduce dimensionality ( PCA ) ( - ) make a prediction with GradientBoostingRegressor() and ...
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1answer
24 views

How to construct confidence bound for Time Series Prediction?

I have a Time series and using some Deep Learning techniques I get its prediction. Now I would like to construct confidence bounds for it. I calculate the residuals, their mean and standard ...
3
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1answer
55 views

Use Machine Learning/Artificial Intelligence to predict next number (n+1) in a given sequence of random increasing integers

The AI must predict the next number in a given sequence of incremental integers (with no obvious pattern) using Python but so far I don't get the intended result! I tried changing the learning rate ...
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1answer
16 views

Calculation of R2 and Mean Square Error for multiple response outputs

My neural network model is 20 inputs and 3 outputs for a regression problem. I am learning how to report the performance or the goodness of fit. http://www.wardsystems.com/manuals/neuroshell2/index....
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1answer
33 views

Time Series - Values recorded every 10 minutes - Fill missing values

I have a time series data from a sensor that records value periodically - sometimes - every 10 minute period, other times every 5 minute period etc. I have to find out anomalies in real time (as and ...
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1answer
22 views

Can I test my already trained model using the data it was trained on?

I have a model that predicts multiple choice answers to questions. I used an 80/20 train test split of my questions and tuned it. The questions actually form part of a game aka 10 questions in a game....
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0answers
12 views

Keras prediction

I have been editing this stock price prediction program. I am new to python programming. I am trying to print the predicted values for the next 10 days. however it is printing the prediction for the ...
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2answers
28 views

Linear regression incorrect prediction using Matlab

In the plot below the red crossed line is the actual curve and the crossed blue line is the predicted curve. I am using least squares for linear prediction. I have used 1:79 examples in training and ...
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0answers
10 views

Convert binary outcome to multiple categorical outcome

I have a dataset containing binary labels Y with values "correct" or "wrong". I want to study the reason of wrong state, based on several conditions made from multiple features. For example I want ...
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1answer
40 views

How Dummy Variables Should Be Modeled In A Linear Regression Model?

I've a cross sectional model where I want predict number of users that take specific service, to make it I've many variables but have specifically two nominal: isWorkday(0 or 1) and weeday(1,2,3,...,7)...
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2answers
39 views

Is ARIMA appropriate for time series prediction involving a mix of explanatory and independent variables?

I have a table with the following columns: Date(Month,Year), Sold_Past_Month, Quantity_Available, Quantity_Shipping_In, Missed_Sales, Quantity_Needed Quantity_Needed is the dependent variable that ...
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1answer
22 views
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3answers
54 views

Which algorithm to use for efficient resource assignment?

I am a starter in ML. So pardon me if the question is naive. We have a Project Management tool where users can create a ticket and assign it to others. This is just one part of the tool but we are ...
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1answer
84 views

Machine learning model to predict the best candidate

Problem: I would like to build a machine learning model that can predict the best candidate from any given set. What could be a good architecture for such a model? Given: I have several training ...
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1answer
27 views

Very low probability in naive Bayes classifier 1

I have some training data (TRAIN) and some test data (TEST). Each row of each table contains an observed class (X) and some columns of binary (Y). I'm using a Python script that is intended to predict ...
3
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0answers
95 views

Why does CV yield lower score?

My training accuracy was better than my test accuracy, hence I thought my model was over-fitted and tried Cross-validation. The model further degraded. Is that my input data need to be sanitised ...
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1answer
15 views

Service Request classification, questionnaire filling and call logging

I am very new to machine learning. I just went through some of the tutorials in Azure and completed one practice workflow(car price prediction). I hope I can ask basic questions here. Scenario : We ...
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1answer
30 views

Find suitable locations using Machine Learning

Just for fun, I am currently trying to find suitable locations to deploy new stores. So what I did so far is to take the actual sites of current stores and to assign surrounding variables to it. These ...
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3answers
134 views

Forecasting ticket sales and city

I am learning data science. I have the following dataset for train tickets: ...
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1answer
87 views

predicting loan default based on transaction history

i have a training dataset with 25,000 different customers, each with a transaction history of 50-500 bank transactions (both deposits and withdrawals, the exact # varies across customers). each ...
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1answer
32 views

Is “adding the predictions to the real data for new training and prediction” a good idea for LSTM?

Considering we have trained our model with a lot of data for "many-to-one" prediction. Then we like to forecast the future data of next 10 days. So we use last 60 of existent data and predict the ...
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1answer
304 views

What do “compile” , “fit” and “predict” do in Keras sequential models?

I am a little confused between these two parts of Keras sequential models functions. May someone explains what is exactly the job of each one? I mean ...
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0answers
36 views

How to add previous predictions for new predictions in LSTM?

I am trying to train a model on a big data sequence like this [0.2 0.1 0.1 ..... 0.4 0.8] . I create X vectors with length 60 for inputs and Y scaler numbers as ...
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1answer
49 views

How to launch a Machine Learning model? [closed]

First of all thank you for taking your time to read my question. I have done a Machine Learning model with a dataset (The famous one about Cancer) and I want to know how can I do to predict the ...
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0answers
31 views

How to create a timeline graph ( Date / time series) in MATLAB?

The data file is attached https://ufile.io/ttwi8.How may I create a timeline graph where my y-axis is the number of cases(Demand and prediction as sjown in attached graph) and my x axis is increasing ...
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1answer
19 views

How do we go about imbalanced data for prediction problem? [duplicate]

As in classification we have imbalanced classes, we use up-sampling or down-sampling and other techniques, what do we do when we have imbalanced data in prediction problems, for example, I have ...
2
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1answer
154 views

How to extract the sample split (values) of decision tree leaves ( terminal nodes) applying h2o library

Sorry for a long story, but it is a long story. :) I am using h2o library for python to build a decision tree and to extract a decision rules out of it. I use some data for training where labels get ...
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0answers
24 views

Can Amazon Comprehend (Medical) be used for autocompletion of words or phrases?

"Amazon Comprehend Medical can accurately identify abbreviations, misspellings, and typos in medical text" source here. As such I believe one could use it to develop an autocorrect service, that ...
3
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1answer
102 views

How can i find trend time for my articles?

our article is time-based, that means is my article search more in a specific time. as you can see in under chart this article search more in specific period time. if my dataset looks like this(it ...
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2answers
23 views

Time of trainig vs time of prediction, which one is used during classification algorithms comparison?

I need to use many algorithms for making a binary classification, such as Logistic regression, SVM, XGBoost, CatBoost, ... I get an interesting improvement but All of those algorithms (except LR) take ...
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0answers
13 views

what is the interest of TimeDistributed after an LSTM layer?

I've already seen several similair questions but I did not understand anything, what is the interest of TimeDistributed? why we need to insert a TimeDistributed layer after LSTM to establish the time ...
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3answers
44 views

Which type of model to use and what's my target variable

I am a beginner in Data Science field, so sorry if my question is too basic. The task is to build an ad bidding model for online marketing which allows you to deliver targeted ads to the right ...
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0answers
12 views

Structures for incorporating linear functions into a nonlinear optimization problem

I'm working on a problem which naturally involves both linear and nonlinear operations, and I'd like some help understanding the best way to combine these into a neural network framework. To be more ...
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1answer
40 views

Predict upcoming coordinates

Given sequences of points that define similar lines amongst each others, e.g: Where the blue lines are similar to each other, given the red point sequence and assuming that it will follow the same ...