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Questions tagged [machine-learning-model]

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1answer
36 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
28 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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0answers
17 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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8 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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0answers
15 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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1answer
57 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
63 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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2answers
85 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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2answers
28 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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1answer
25 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
123 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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1answer
263 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
103 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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0answers
26 views

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
503 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
71 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: ...
2
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1answer
78 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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0answers
76 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
470 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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1answer
53 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
376 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
32 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 ...
2
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2answers
153 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
70 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
44 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
37 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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1answer
3k 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 ...
1
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1answer
30 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 ...
1
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1answer
53 views

How do I deal with missing values in a data set?

I am trying to build a binary classification model which predicts whether a patient would me infected with a certain disease at the the end of his hospital stay or not. The features that I have are ...
1
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2answers
184 views

ensuring that dependent variable decreases monotonically with independent variable

I have one key relationship between a numeric independent variable X and a numeric dependent variable Y, which is like a negative exponential function determined by 2 parameters. There are other ...
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1answer
233 views

Why doesn't the binary classification log loss formula make it explicit that natural log is being used?

I'm completing a DataCamp course where we are introduced to the log loss formula for binary classification: Two scenarios are given to show how the formula is used. One with p=0.1 and one with p=0.5....
2
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1answer
23 views

Understanding the multidimensional-nature of the data being fed to a RNN and its output

Assuming we have a time-series dataset whose window_size = 30 and the batch_size = 4, which makes the overall input = 4*30 (2D). But as RNN expects 3D input, ...
3
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1answer
254 views

Bi-directionality in BERT model

I am reading the paper BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding that can be found here. It looks to me that the crux of the paper is using masked inputs to ...
2
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2answers
141 views

Unable to understand the usage of labels argument in sklearn.metrics.f1_score

I am trying to model a dataset with RandomForest Classifier. My dataset has 3 classes viz. A, B, C. 'A' is the negative class ...
2
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1answer
79 views

Is Nvidia Jetson product family also suitable for machine learing model training?

I recently came accross these products (Nvidia Jetson) and they are all tagged as "edge", so i think they are designed only for machine learning inference and not model training. They are quite ...
1
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2answers
37 views

Is the _error_ in the context of ML always just the difference of predictions and targets?

Simple definitional question: In the context of machine learning, is the error of a model always the difference of predictions $f(x) = \hat{y}$ and targets $y$? Or are there also other definitions of ...
1
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1answer
32 views

Keras: Misunderstanding what Keras does when invoking a Model, providing an Input?

In a class named Generator, I have defined a model with the below method define_model: ...
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4answers
68 views

How to build a model where multiple data points contribute to a result

I’m trying to figure out how to massage data and model the following scenario: Customers at a restaurant rate the quality of the service between 1-10. I have data on individual interactions between ...
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2answers
47 views

How significant the variables like “id”, “region code” etc are in the predictive modelling?

I participated in one of the hackathon. And there the variables were like id, region, gender, age .etc. It was a regression problem. I did scaling on the variables. But I am not sure what to do with ...
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0answers
25 views

Significance of AUC score

My model (Logistic Regression) has AUC score of 0.8 Am I right in stating that the probability of the model ranking a random positive sample higher than a random negative sample is 0.8? Also, how ...
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0answers
32 views

Predicting electricity consumption in a household

Please I need your help in brainstorming on a problem. I have a community, in this community, every household has a 'power device' that powers the household. Households need to buy power units from a ...
0
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1answer
455 views

MLP Parameter tuning - gridsearchCV cannot fit?

I'm making an MLP classifier for binomial classification from 145 features. I want to get the best parameters on my MLP classifier to get a better prediction so I followed the answer to this question,...
1
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1answer
28 views

ML Approach for Getting List of Observations with Similar Features (Discrete+Continuous)

I have a dataset with 19k observations. Each has approximately 448 features: - Text description turned into vectors of size 300 - 16 categorical variables represented numerically - The remainder ...
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1answer
471 views

Transfer learning VGGish (AudioSet). Impact of zero padding to fit the input size

I am trying to train a network on top of the VGGish architecture (https://github.com/tensorflow/models/tree/master/research/audioset/vggish), using (transfer learning) finetuning. I initially started ...
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2answers
44 views

Suggestion of a model for these type of data?

I've got a data set that looks like this ...
2
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1answer
26 views

Machine learning for object states

I have the objects pool with histories of their states, where each transition from one state to another takes some time, ex: $$ object\ 1: A \overset{1s}{\rightarrow} B \overset{2s}{\rightarrow} C \\ ...
1
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2answers
71 views

How to treat the undefined values which make sense?

I'm currently trying to create a few features to improve the performances of a model. One of those features that I would like to create corresponds to the difference in days between a customer's ...
1
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2answers
37 views

Model with two targets(classification, regression)?

I have a dataset with features like Cylinders, Transmission, ExteriorColor, OdometerReading, StockType(New/Old), MakeModel, ModelYear, SoldYearMonth, CountSoldByMonth, Price, TopSelling. Target ...
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0answers
117 views

Can Facebook's Prophet be considered a “type” of AI? Like and CNN or RNN

I'm facing a problem to determine if the model Prophet developed by Facebook team is some kind of Neural Network or similar. Someone has an answer for it? In Github repository has the following ...

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