Questions tagged [machine-learning-model]

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How to predict the appropriate bidding price for a keyword ad using machine learning?

This is just to brainstorm how to design a ML algorithm that helps a company to decide how much to bid for a keyword. How to predict the appropriate bidding price for a keyword ad? What are the ...
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1answer
14 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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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
19 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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11 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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22 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
19 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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1answer
20 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
21 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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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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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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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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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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4 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
12 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
20 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
19 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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How to make image classification using weka?

I have two hundred and fifty images, and extracted the features from them and put them in an Excel file, how to use the weka program so that the first 200 images for training and the remaining fifty ...
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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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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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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
35 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
15 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
37 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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16 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
15 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 ...
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1answer
58 views

How many model parameters did Microsoft's 2015 ImageNet-winner network have?

In 2015 a team of researchers from Microsoft won the ImageNet contest with a network of 152 layers. How many parameters did their model have?
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Why do the training curve fall sharp suddenly?

I am training a CNN classifier on a binary balanced dataset. The dataset has 4500 numbers of tweet data along with the class of the tweet. During training, I am applying, GLOVE embedding of 300 ...
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1answer
28 views

How to predict consumer purchase in next 6 months?

I'm working on a model to predict a customer as being 'in-market' for a product in the next 6 months. The dataset has a wealth of information like lifestyle and demographic variables and previous ...
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1answer
35 views

Error using decision tree regressor [closed]

I'm new to data science , while i'm implementing decision tree. I'm facing the following error. Where i went wrong; Sample data in csv is: ...
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1answer
49 views

How to wisely choose machine algorithm for the given data set?

I have a data sample of RSSI value from three different devices and based on the RSSI sample, it should tell from which location the data sample is arrived. Below are the sample data set, ...
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7 views

Will re-ranking my results slow down my search?

I'm looking into incorporating ranking in my website by using a machine learning model. But to rank my documents I have to calculate all my features (like tf-idf, word count, etc..) on every document ...
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28 views

Can I update my model using partial_fit after training my model using fit?

I have trained my model using MLPClassifier using fit method and saving in pickle object for the first time. ...
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1answer
31 views

Face detection for different poses more robust than MTCNN?

I am using the MTCNN model described on machinelearningmastery here: MTCNN ipazc But it won't detect certain orientations, ie. somebody lying on the ground so the top of the head points to the right ...
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9 views

Using Unsupervised / Supervised Learning for RGB manipulation

I need to teach a model(or any substitute) for automatically adjusting the concentration of R, G, and B values until they make up white colour. i.e, tweak the RGB values (beginning from some arbitrary ...
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1answer
46 views

How to convert trained data (feature extracted) into a prediction model? [closed]

Background: I am analyzing and labeling some log data. (parsed already, sample data below) I have extracted the major features of data. For examples, the classification results ("1 - normal" or "0 - ...
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4answers
41 views

How to know if my Decision tree model is good or bad?

I built a decision tree model and am not sure if it is good or bad. Could you help to evaluate my model? My code: ...
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1answer
21 views

How to normalize a position in 3d game?

I'm pretty new to anything and everything related to this kind of stuff, I was wondering how would I normalize the coordinates of a entity in my game for a nerual network? Would it just be the same ...
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2answers
67 views

Calculate future GDP % using machine learning

I need to estimate the GDP % of a country three years into the future, based on historic data. I have 30+ years of the following monthly data that includes features such as inflation and unemployment ...
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2answers
63 views

What is the best way to approach this problem? [closed]

I'm new with data science, but I'm familiar with python3. I'd like to solve a problem with machine learning, but I'm totally new to this field, which is why I am looking for someone kind enough to ...
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1answer
23 views

How to deal with evaluations in a multi step ML pipeline

Apache Spark provides us the pipeline to construct a ML pipeline. Moreover, we can evaluate the regressors in the pipeline, now here is the point I dont understand: how to apply to testing data. Ok, ...
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1answer
26 views

R package vs REST API

I have a logistic regression algorithm in R to predict irresponsible users. I need this to be as flexible as possible for any market. I would need to use the logistic regression algorithm to ...
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0answers
4 views

Approach recommendation to enhance time step determination in dynamic simulation

I am developing a specialized tool to perform dynamic simulations of a specific family of physical systems. This tool has two major parts: establishing the kinetics, and deciding how far into the ...
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1answer
43 views

How to Improve Low Accuracy Keras Model Design?

I am trying to train a system that looks at some data points and predicts the quantity of surfers on a surf break. I have labeled the pattern for the past 2 months and I have 1500+ training examples ...
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1answer
20 views

Application of Machine learning in modelling experimental system as a PhD topic

I am working as a control Engineer in a high energy physics lab. I am looking for a PhD thesis topic. Our experimental system is highly non linear and can't be modeled using standard white box ...