Questions tagged [prediction]

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3answers
29 views

Predict the salaries of customers in 2019 from 2016 data

I have a spreadsheet of data with ages and salaries for 2016. For example, in 2016 there were 12988 customers who were 18 years old and earned 20k. I need to predict the salaries of customers for 2019....
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1answer
20 views

Predicting probability for each tag given already chosen tags

I have a set of tags (~10'000, will be extended over time) presented to a user. After he has selected 3 or more tags, I want to predict for each remaining tag what the chances are that the user will ...
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1answer
17 views

Finding the usage percent to perform predictive analysis for new users

Problem Statement- I have to find the average feature usage all the users and the usage of user X to suggest if he should use the feature. Example - On google home page out of all the user's avg 85% ...
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0answers
7 views

what are possible error analysis approach in tabular data?

I am working on binary classification on tabular data. The dataset is mostly made of categorical data and after fitting the data to a model I found test accuracy to be low. I want to do error analysis ...
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1answer
37 views

Decision tree classifier prediction changes from one run of the model to the next

I'm running a very basic gender ['male', 'female'] classifier using the sklearn DecisionTreeClassifier based on ...
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2answers
35 views

Splitting training and test set with financial data

I am using trees algorithms (decision tree, random forest and XGBoost) to forecast the sign of the returns in the stock market (classification). I am using this article as a reference: http://...
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0answers
25 views

Classification and prediction on binary data

I am trying to cluster a binary data that consists of 294 inputs and 120 possible outputs. I have tried to train a neural network using tensorflow/keras with the sigmoid function as the activation one....
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1answer
24 views

Multivariate time series prediction with binary target

I have an electronic component whose sensors record temperature, current and voltage values of various sub-elements. These readings are taken at regular intervals of time and I organized them as ...
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1answer
62 views

How to predict whether the client will renew the subscription or not based on given data structure

I have a requirement where I want to predict whether the client will renew the subscription or not. And the data is something like below. Basically client's subscription end date can be anything. ...
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0answers
8 views

prediction with un-obligatory features

I am pre-processing a real-world dataset with some features with missing values. these features are not mandatory - the user doesn't have to provide them. This means the values are not missing at ...
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0answers
18 views

Predicting house pricing given a dataset consisting of [ location: date of transaction: price ]

What would be the right way to tackle the problem of predicting median house pricing, given that the data I have for training consists in a big list of entries that have the following values: ...
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0answers
11 views

Modify image with machine learning

Here's my problem: I already have a little neural network that generate images using DCGAN, that was very entertaining to do but now I'd like to modify images using ML methods. Let me explain myself: ...
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1answer
63 views

XGBOOST : model.predict_proba() and model.predict() conflicting behaviour

I have two classes : 1 and 2 The output of model.predict_proba() -> [0.333,0.6667] The output of model.predict() -> 1 This is happening for around 200 test values out of the test data of 10 lac. ...
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2answers
54 views

Prediction after one hot encoding

I have a regression model that I want to make prediction based on values that I will get from an end user. In my dataset, I have one categorical variable region ...
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1answer
40 views

How to deploy ML models in production?

Have been learning Machine Learning concepts and doing hands-on past few months. Now got a bit different doubt than implementation of code. This is regarding measures to be considered while ...
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1answer
18 views

Identifying importance of each feature in deep model

I have a deep model and I want to figure out which feature has the maximum influence on predicted result. For this I train the model with all the features I think are important, during prediction I ...
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1answer
21 views

Machine Learning based Multivariate Time Series Prediction - How to create supervised data format

Q1: I have a multivariate time series dataset. For each timestep, there are 11 features and 1 output. I am going to use supervised ML to predect the output. I understand that in univariate cases, if ...
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0answers
9 views

What's the meaning of Err in Online Time Series Predicion with Missing Values

I'm reading THIS paper about online predictions on time series with missing values. And trying to code the third algorithm in C++. The thing is that I don’t understand what they mean by $Err_{\tau}...
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34 views

Given $x_1,…,x_n$, predict $y$ without being able to train on $y$

Say we have some large training data (a time series) of a few thousand rows, i.e. $$X_1=\{x_{1,1},\ldots,x_{1,n}\} \in\mathbb{R}^n, \quad y_1\in\mathbb{R}$$ $$\quad\quad \vdots$$ $$X_m=\{x_{m,1},\...
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0answers
14 views

Find possible fearure values to predict a certain outcome

I have a dataset about patients waiting times in a health district. The data is aggregated by health provider, type of medical procedure, urgency of the procedure (3 classes) and reports the n. of ...
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1answer
43 views

Include time as a variable in regression model

I am currently working on a regression problem which requires me to predict the costs of a fixed asset. I have used several variables to do so and derived a predicted cost. However, my superior has ...
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1answer
22 views

How can I get an algorithm to have an evalutation metric based on aggregate predictions?

Let's say I have a model that makes a prediction per individual. An example data set is below. Normally, evaluation metrics (for example within the XGBoost algorthim), are used at the individual ...
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1answer
23 views

LSTM get next output with Keras

So I'm learning RNN, and tried to do a prediction LSTM, but I do not understand how the output works. I have this LSTM RNN: ...
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0answers
118 views

How to fix “'The `start` argument could not be matched to a location related to the index of the data.” Error?

When I try to predict the results using ARIMA for a specific train/test split, its throwing an error like this: "'The start argument could not be matched to a ...
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1answer
44 views

Xgboost multiple class predictive performance beats one versus rest

I have an NLP task I'm tackling with xgboost (R implementation). Before describing my doubt I'll give you some background: I have a corpus of documents for which I did topic discovery, using a term ...
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0answers
4 views

Get sequential model to output probabilities with pystruct

I have implemented a sequential model using Pystruct. The model I use is BinaryCLF and as a learner the StructuredPerceptron. So far, when I test the prediction of my model, I give as an input the ...
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0answers
10 views

Compare large prediction with observed values

I have test scores for a lot of schools and I created a performance index calculated using the last score of a state test. This index is supossed to predict the performance of the school in the next ...
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1answer
31 views

Predicting when component will fail having its parameters data

I have a component and I need to predict when it will wear out and will need replacement. I monitor, let's say 5 parameters of this component, each one is monitored for every run cycle. So, the ...
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2answers
54 views

Sequence prediction with unlimited predictions

I have a special kind of prediction problem. I have observed $M$ sequences $X_m = [x_1, x_2, ..., x_N]$ where the distance $d$ between $x_n$ and $x_{n+1}$ is drawn from the same normal distribution, ...
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0answers
17 views

Can anyone please guide me how to find the accuracy, presion and recall of a tensorflow objectdetection api trained model

I have trained a tensorflow object detection api model named faster-RCNN, but I am not able to find its accuracy, precision and recall on test dataset. Kindly guide me on how to find them. I have ...
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1answer
31 views

Why am a getting wrong prediction when combining two list of samples, which individually gives correct prediction?

So I am coding in Python. I have to set of samples. Set1 contains samples of class A and the other set, Set2 contains samples of class B. These samples taken are a part of the training dataset. When I ...
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0answers
41 views

Timeseries prediction error measurement. How to deal with diffrent time scales?

I have some time series and a prediction model. Now I would like to measure how good/bad the prediction is for different products. The problem is that for each product the time points (frequency of ...
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0answers
10 views

Scores of the objective function are very close to zero

For my model, I am using a square loss for the objective function. When I get the result of the prediction, the score given for each instance is very close to zero ($1*e^{-10}$). Does this mean that ...
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2answers
41 views

How can i test the performance of a model when the test data contains seen and unseen data

To test the performance of my model based on some selected features, i try to use unseen and seen data. However, when choosing the accuracy based on all data, the model is almost overfitting since ...
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0answers
31 views

Best service to host fine-tuned bert model?

I want to offer my fine-tuned bert model over the cloud. Are there any easy services to do this while only paying for usage (instead of an entire server)?
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3answers
59 views
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1answer
35 views

What could make a set of the train data more predictive than the whole train data

I took a sample of my training data and balanced it and then trained my model. The results obtained are more accurate than using the whole set of train data (balanced or imbalanced). My question is: ...
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0answers
18 views

How to find prediction probability in given CNN in tensor flow?

I am very new in tenser flow. Lets assume I already have a trained convolution neutral network, now I give one new data to this CNN, and I want to see whats the prediction probability in each class. (...
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0answers
18 views

Multi-label learning, how to interpret the scores of instances

I am working on a multi-label learning classification problem. When I tune the hyperparameters of the model, the sign of each label (each line on the MLL) remains the same while the scores change. ...
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1answer
210 views

ValueError: Expected 2D array, got scalar array instead using predict method

I am trying to get a predicted value instead of whole features for a particular level using predict method. ...
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0answers
22 views

Choosing loss function in Keras for prediction binary_crossentropy or categorical_crossentropy

What loss function in keras should I chose for binary_crossentropy or categorical_crossentropy? I have data like : $w1,w2,w3,w2,w2,w1,w3,w5,w9,w5,w4...$ I want to predict sequence: input: $w1,w2,w3$...
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0answers
7 views

How to reduce complexity of inference stage in recommender systems?

Given a large set of customers and a large set of items, how to make predictions given a model like this one: https://arxiv.org/pdf/1606.07792.pdf As stated in the article: "Since there are over a ...
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1answer
31 views

Searching prediction from 4 datasets

The fourth dataset contains (train_data, test_data, previous_data, and information_history_data). The goal is to search for a user's rating on the loan to the bank. ...
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9 views

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
9 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
47 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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0answers
21 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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0answers
26 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
22 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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2answers
106 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 ...