Questions tagged [machine-learning-model]

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Audio Analysis - Training the model - Tuple Index out of Range Error

I am trying to analyse an Audio file and train the system based on that extracted features but I am getting an error while Fitting the model saying "Tuple Index out of Range". I have provided the ...
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2answers
90 views

Training machine learning models from log files

Im starting to learn about ml and most of examples show very simple examples on how to train your ml modell. For me this looks more like statistic calculations than actual ml. These kind of examples ...
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Implementing a Kernel Adaptive Filtering model explained in a paper

In this paper, Stock price prediction using kernel adaptive filtering within a stock market interdependence approach, the authors propose a method for predicting stock prices by combining the ...
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5 views

Using Complex Event Processing Engine for Machine Learning Models

we are running several models to detect events on customer and financial data using a cron-tab. (runs every 5 minutes currently) Some of these events are described as a model (often using ML methods ...
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1answer
24 views

Does Feature Normalization affect Gradient Descent | Linear Regression

am new to datascience and i want to learn linear regression so i coded linear regression from scratch and performed gradient descent to find the best $w_\theta$ and $b_\theta$ values using a tutorial. ...
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1answer
13 views

How does joint probability generate new data in generative model

Learning about different Machine Learning concepts, I came across Generative and Discriminative model. To infer from what I have studied, generative model is based on P(x,y)(Joint probability ...
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2answers
56 views

How to handle addresses of the restaurants to feed the data-set in the ML model?

I have data from different restaurants which have also address of the restaurants now I want to predict the food delivery timing based on the given data, now the restaurant address is one of the ...
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21 views

Transforming Data for Classification

I have a dataset of the type: Time_from_anchor is the time from when the diagnosis was made, if he had cancer. i.e patient 1 was diagnosed with cancer at 0. He had tests x and y at time -1 and tests ...
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1answer
18 views

Covariates in machine learning classificatoin

I would like to classify a number of people as sick and healthy. I have all the body measures as features. I have to control for age and sex because body features are affected by that. How do I adjust ...
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14 views

Reproducing risk curve

I want to reproduce the curve above with a code implementation using MNIST data. How can I plot the curve above with an increasing model complexity? What should I do to run experiments with increasing ...
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16 views

why evaluate_generator accuracy too much by using flow_from_directory with shuffle true?

i am using tensorflow and keras on colab i train with shuffled data but i met this strange accuracy with evaluate_generator with my training set that has 95% acc if i did not shuffle my data with ...
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13 views

Learning the change in data

I've got a large dataset of sensor data (so gyroscope, accelerometer and so on). This is sampled at about 60hertz. Here's an example of some milliseconds of data It's a simple csv file with like 1000 ...
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23 views

Pre-training model with existing seasonal data for new dataset with maximum limit

I apologise if this is a simple one, I'm not sure if this is not possible or if I'm just not using the right keywords to find the answer; Say I've got a pizza store, I've been able to successfully ...
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1answer
11 views

Recommendation Model

Hi i'm working on a practice project on amazon movie reviews and i did everything that was asked except building a model that will recommend movies to users which have not been watched nor been rated. ...
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1answer
17 views

LSTM fot text classification always returns the same results

Hello fellow Data Scientists, I'm trying to make a classifier that was to classify sequences of text into some predefined classes, but i always get the same output, can anyone help me understand why? ...
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1answer
34 views

Deep Learning for non-continuous dataset

I am working with this dataset which is record of student academic details and I want to predict the student's performance. since the dataset is non-continuous I cannot apply CNN on this dataset. ...
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3answers
65 views

How to fix my high validation loss and inaccuracy

New to machine learning and tried to train my bird recognization model and found very high validation loss and inaccuracy. I'm using this dataset: http://www.vision.caltech.edu/visipedia/CUB-200-2011....
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7 views

Why would predicting a percentage bring my test score R2 nearly to zero?

I am trying to predict the Score on an exam from various predictors. The exam have a total # of points (ScoreMaximum) you can have and each exam can have a different ScoreMaximum. When I try to ...
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14 views

Does the type of y value affect the prediction power of model?

I am using the sunlight intensity time series data(X) to predict plant height(Y) in different locations using CNN model in Keras. I am wondering if I change the group Y values into 2 categories: High ...
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13 views

What language is most used in deep learning research?

I see the GAN source code all in Python, or otherwise, BERT seems to be all in Python as well. I was under the impression that ...
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9 views

How to encode factor predictors in prediction models

The response variable as well as all predictor variables in my dataset are factors. I want to build a model for predicting the response variable. As I understand I have to first encode my predictor ...
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1answer
24 views

Forecasting Consumption for Multiple Products for Multiple Regions

Came across a very interesting Real-World Time Series Forecast Problem. Can you please help me understand the right track to resolve the below Time Series problem: Input Data Sample: and we want to ...
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7 views

What techniques can I use to find position relationship in group of elements?

I have 14,000 tagged documents. These are custom forms that our employees create and fill out. I need to build a model that will be able to classify the types of each input field of the form in order ...
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1answer
20 views

Ensemble Techniques - Boosting

I understand boosting is a sequential learning technique and it use the prediction from previous model as a dataset for new model ,after adding weight to the misclassified data points. The point ...
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15 views

Scaling ML/DL classifier

I have been trying to find some guideline through google/stackoverflow for scaling a classification system. E.g. how can I scale a face recognition system if we want to add new people into the system? ...
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0answers
26 views

XGBoost speed issues

I'm trying to optimize the hyperparameters for XGBoost, thus needing to run it multiple times with different parameters. However the time needed to run single XGBoost with the parameters provided ...
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1answer
29 views

Dividing the weights obtained on an already standardized data set by the standard deviation of the features? (Ridge regression)

I'm trying to understand a code snippet from my lecture on Machine Learning (see the code below). It extracts the mean and standard deviation of the features and uses them to 'normalize' (...
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2answers
27 views

How do i find the most frequently occuring category for each unique customer?

I have a dataset with 30k unique users with each customer having multiple transaction. I aggregated the dataset with one record per user and containing aggregated information such as average ...
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1answer
25 views

How do I deal with changing values in a categorical variable when I am aggregating customer records

My requirement is to build a model to predict if a new customer will return to their website. I need to analyze what drives customer repeat for both new and returning customers. The only information ...
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0answers
15 views

Word embedding microservices in the cloud

I would like to build nlp classifiers for various tasks such as sentiment analysis, topic modeling, name entity recognition etc. . I realized that most of them only involve simple logistic regression ...
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5 views

Multi Output Regression Graph

I am doing a multi output regression using Keras/Tensorflow. I basically have a column of inputs and 2 columns of output points on excel file. I want to fit a curve for that points. The code that i am ...
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7 views

Predicting when the State of a variable will change based on past behavior

I have a equipment which Has two possible states, Responding & Not Responding, I have with me the amount of time the equipment spent over the last couple of months being in both the states, for ...
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8 views

Seeking advice to implement a machine learning algorithm for pattern recognition in MATLAB

https://drive.google.com/open?id=1WsAm3h-__al_eXfXaOc-DFMlONGf2ysv Hello, I have many frames of 256 X 256 digits. These have clusters of data that I need to do classify from, I seek advice from the ...
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13 views

Variable importance of Numerical features in Classification Model - Random Forest Classifier

I have few numeric features in my model. Out of 25 features, I have 7-8 numeric features in my model. One thing I observed is model gives more weightage to numerical feature compare to categorical ...
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6 views

SRGAN: How to adapt the model to the input image?

I wrote and trained my own SRGAN: so I obtained a generator’s model that takes 32x32 images as input and gives their improved 128x128 version as output… However, the end users of my Android app will ...
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1answer
22 views

How to Proceed with Tokenized text content which is given in number?

I have one data set of customer review, but the text data is given is tokenized text number. I am unable to proceed thinking about how to proceed? As I am encountering such data set the first time, ...
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1answer
24 views

Metric/loss for bin classification

I have a model that has to classify inputs into one of 45 categories but those categories actually represent bins (e.g. bins 1, 2 and 3 are between 1 and 10, 11 and 20, 21 and 30 respectively). What I ...
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1answer
23 views

How to train a Machine Learning model for blocked data

I'm concerned with a supervised classification problem for the following type of data. The data consists of $N$ rows (where $N$ is not very large - this is not a big-data problem) and $M$ columns (...
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11 views

How to structure a multi-target prediction problem when the targets depend on eachother

I'm trying to build a model that predicts 4 variables based on some input variables. I can make this quite easily as four independent models. However, since the prediction variables depend on each-...
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8 views

Testing Setup in Temporal Tensor Factorization for Recommendation

I am trying to wrap my head around Temporal Tensor Factorization for Collaborative Filtering, as described in the paper: Temporal Collaborative Filtering with Bayesian Probabilistic Tensor ...
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8 views

How to use SenseVector Embeddings for deep learning model?

I was facing the issue of false positives due to Word Sense Disambiguation (WSD) for text classification. For eg: 'bank' could be associated to either 'river' bank or 'commercial' bank. Using ...
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10 views

How to prepare for machine learning?

I'm working on a project that has weather data and information related to agriculture. Our goal is, in the long term, start identifying patterns and better understand how can we help the users to ...
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24 views

Model performance confusion

Please I am a bit confused. I am doing some practice work. I am using the F- score to score model's performance. To improve model's performance, I did a random grid search and got an F-score of 1. ...
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1answer
14 views

Identifying if the sentence if it comprise information about education

Given a sentence I am trying to classify if the sentence contain information about education. For example: ...
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0answers
43 views

MultiOutput Regression Model

I have a dataset of 187 data points (numeric data) with 8 features that I need to train to predict 4 target variables. What would be a good algorithm to go about solving this? Ideally, I want an ...
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1answer
19 views

Simplest way to build a semantic analyzer

I want to build a semantic analyzer i.e., to find how similar the meaning of two sentences are. For example- English: Birdie is washing itself in the water basin. English Paraphrase: The bird is ...
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2answers
42 views

Model should predict the same value every time for the same input

I have used a random forest model for prediction of prices. Should the model be predictable in its behavior? By this, I mean that I'm not changing the model and the input, Will the predicted value ...
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17 views

Algorithm/Model for Power System Optimisation

For my engineering honours project, I'm performing a study of voltage control on the electrical distribution network, using reactive power provision from residential solar inverters. Basically, each ...
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1answer
20 views

How to split the data as per the label name count using sklearn

Before training a model, I would like to split the data in a 80/20 ratio. For example, in my dataset of 3000 rows, I have different labels. Out of which A is one label name, has 100 records in the ...