Questions tagged [machine-learning-model]

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Bias Formula in Machine Learning expanded using ground truth

Why is Bias calculated for $f(x)$? Shouldn't it be calculated for $Y$ (which is $f(x)$ + Noise $\epsilon$)? We are fitting our model to $Y$, So shouldn't we be calculating bias wrt to $Y$? Also, I ...
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7 views

Custom Detection Model using CNN model and Labelled Data [closed]

I am currently working on my final year project. This project is based on traffic surveillance using deep neural networks. I have two tasks at hand. Classification and detection. For classifier I have ...
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0answers
12 views

i have trained a model using fer2013 dataset using CNN for Emotion detection. Now i want to use it in a image

I have a trained model and saved the weights in fer.h5. Now i want to use the pre trained model in another set of images and save it to a excel file ...
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1answer
42 views

Correlation vs Coefficient of multiple linear regression

I have 10000 samples. There are 4 dependent variables and 1 independent variable. The independent variables are all centered with 0 mean. I found the correlation between each of these variables ...
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1answer
13 views

Train building classifier for imagerial data

I am using the https://www.arcgis.com/ api for accessing imagery of aerial data. I would like to train a model that can caputure on the imagery if the provided ...
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1answer
21 views

Comparing Classification Algorithms [closed]

I have found the below code. My question is simple as I am an aspiring Data Scientist. can I rely on the output of this code spinet to choose the algorithms that i would use to model a problem? This ...
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19 views

Training personalized based machine learning models

I have a dataset that contains users banking transactions. It contains transactions of more than 500 users. My project is based on anomaly detection and so I'm planning to use HBOS for training my ...
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16 views

Comparing PCAP Datasets

I'm having some issues coming up with the best approach to compare two PCAP files. So I have two PCAPs, the first is a known bad application. The second is an unknown application. What I would like ...
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1answer
26 views

How do I know the best pruning criteria for decision trees?

Right now,I am working on decision trees on python,how do I know what would be the best pruning criteria based on my data?
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12 views

Is it possible to convert Neural Network code in Python into Matlab code?

I want to convert the code written in Python into Matlab code. May I know is it possible to do that. Share the available ways or methods to do the conversion. May I know is there any Online ...
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1answer
34 views

predicting next jobtitle

I have a dataset of which has 30M rows each like [current_jobtitles, nextjobtitles]. ...
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0answers
12 views

Interpreting Adaboost model results

I'm trying to get a better grasp of model interpretability using many different kinds of models for a binary classification problem. Quick note: By interpretability in this case, what I mean is ...
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0answers
5 views

Explain the relations between SPARK, Oozie, machine learning model

Background: Now I have a machine learning model written by Python. For example, the model has been saved as "model.h5". I have input data every hour. I want to use the model to test/predict these ...
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0answers
17 views

Metrics - multi-class model comparisons

I am looking for a way to quantify the performance of multi-class model labelers, and thus compare them. I want to account for the fact that some classes are ‘closer’ than others (for example a car is ...
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22 views

How can I validate the accuracy of a classification model without real data to contrast?

I'm dealing with a users data set classification problem, my goal is to classify all users in different categories such as fitness, fashion... depending on some features. I have already create some ...
2
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1answer
28 views

Loading models from external source

I have a 500MB model which I am commiting to Git. That is a really bad practice since for newer model versions the repository will be huge. As well, It will slow down all builds for deployments. I ...
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1answer
20 views

single v/s multiple user machine learning model

What are the merits and demerits of training machine learning models(One-class svm, isolation forest, DBSCAN) for anomaly detection on single-user data set and multiple user data set.? keep in mind ...
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0answers
21 views

True test data when using leave-one-out cross-validation

I'm new to machine learning and I'm trying to use it for a personal project in R. I'm trying to use leave-one-out cross-validation for training my data. In particular, I'm running the following code: ...
2
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2answers
55 views

How to write a generator for keras fit_generator?

This question is a further step of this question. My data inputs are tens of .csv files, I have already read csv input data until the following format: ...
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0answers
11 views

Which one is used to calculate the number of data needed for Machine Learning Models?

I am wondering which one is used to calculate the needed number of data for Machine Learning models between Hoeffding's Inequality and Power Analysis. I don't know which one people use when we need to ...
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0answers
10 views

What could be the impacts on the intercept and slops of each predictor in Logistic Regression by rare event cases?

I am wondering how data set with rare event cases would impact on my Logistic Regression model in terms of the intercept and slopes of each predictor?
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1answer
16 views

Classification algorithm with multiple output for a set of features

I want to build a classification algorithm that will predict multiple values for a set of features. For instance, lets say I have a customer demographic data like Income, age, sex, city and I want to ...
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1answer
28 views

Which models can handle null values?

Unfortunately trying to google or research null values in machine learning always brings up pages trying to teach you how to impute the values instead, but I'm trying to find models that can handle ...
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0answers
50 views

SHAP Kernel explainer for my pipeline model

I am trying to use SHAP kernel explainer to understand my XGBOOST model. My data is the lending club data and I am trying to predict the Grade of each customer. The data contains different types of ...
1
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1answer
28 views

How do I get started with machine learning and image recognition?

I'd like to get started with machine learning, specifically image recognition. I know that Python is the most popular language for ML since it's easy to pick up and there's tons of libraries for it. I ...
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0answers
16 views

Financial Time Series and Machine Learning question

I am working on a Machine Learning project applied to a financial time series. Initially, I grabbed features (open, high, low, close) and implemented a Random Forest. One of the subsequent tasks ...
2
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1answer
17 views

Can sampling like SMOTE/UP/DOWN applied on Validation set?

I am trying to predict classification problem. For that I have used Ranger, Xgboost and naive bayes. My Response class is imbalance . 92:8 ratio. My positive Response is only 8% of whole data. ...
2
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1answer
37 views

Bagging or Random Subspace Method for Random Forest?

I am reading a lot about the random forest regressor. I reading about bagging (bootstrap and aggregation) and random subspace. But I am not sure if the random forest regressor just using bagging or ...
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1answer
26 views

If a dataset is imbalanced in real life, should I train on my machine learning model on an imbalanced dataset [closed]

I have a dataset where around 20% of the data is the positive class and 80% of the data is the negative class. When I undersample and train my classifier on a balanced dataset and test on a balanced ...
2
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1answer
19 views

What inference can we draw from the frequency distribution of thresholds?

I've the probability scores of positive class of two models. The frequency distribution of those probability scores(thresholds) are like this Model #1 Model #2 It's a binary classification problem....
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2answers
99 views

Time Series Model for multiple trends

I am a newbie in the ML field. So please, neglect or better correct, if I am wrong somewhere. Currently working on a model training for time series data. My problem is a little more specific to bike-...
2
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0answers
22 views

How to use learning curve in reality

CONTEXT: I have some simulated data by which I made and trained a model. during my training, I enjoyed having a large number of samples, and therefore my model is leveraging it by being decently ...
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8answers
6k views

What would I prefer - an over-fitted model or a less accurate model?

Let's say we have two models trained. And let's say we are looking for good accuracy. The first has an accuracy of 100% on training set and 84% on test set. Clearly over-fitted. The second has an ...
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0answers
20 views

How to find transictions and group variables

Having a dataset like this: ...
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46 views

How to test yolo model with correct .name configuration file as it is getting pointed to data/coco.names instead of cfg/obj.names while testing?

Im getting below error while testing my newly retrained model on my custome dataset command to test : !./darknet detect cfg/yolo-voc.2.0.cfg backup/yolo-voc_last.weights helmet.jpg output: Error: in ...
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1answer
39 views

How to save and load model from unsupervised learning?

[Beginner] Sorry if this is dumb question. I am following the model from this article and below. ...
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1answer
28 views

How to use scikit metrics for a statsmodel or vice versa?

Am working on binary classification problem with 5K records. Label 1 is 1554 and Label 0 is 3558. I did refer this post but not sure whether it is updated now or anyone has any way to compute this ...
2
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1answer
47 views

How to Bootstrap dataset for 10000 AUC scores?

I am new to ML and trying to learn the nuances. I work on a binary classification problem with 5K records. Label 1 is 1554 and Label 0 is 3554. What I currently do is 1) split the data into train(...
2
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1answer
28 views

Why and how to match variables in logistic regression?

I have a dataset of ~4.7K records focused on binary classification with 60 features. class 1 is of 1554 records and class 2 is of 3558 records. Now I would like to find the risk factors that ...
2
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1answer
26 views

How to retrain a K-Modes model based on daily data?

I have read that retraining a model depends highly on what you are trying to achieve. I am conscious that maybe I need to retrain my model daily and after a certain time I have to train the model ...
1
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1answer
37 views

ML Project - Achieve 2 Objectives

I have a dataset with 5K records focused on binary classification. I am posting it here to seek your suggestions on project methodology Currently what is my objective is 1) Run statsmodel logistic ...
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3answers
32 views

How does one define the possibility space of valid priors (models)?

When one trains a model on data of any complexity one inevitably ends up with a one particular model among a vast many possible models that would make similar (or even, the same) predictions. For ...
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2answers
62 views

What does scaling a gradient do?

In the MuZero paper pseudocode, they have the following line of code: hidden_state = tf.scale_gradient(hidden_state, 0.5) What does this do? Why is it there? I'...
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3answers
90 views

How to handle features with very broad range

I have a long list of continuous values like in the image below: The plot looks like this: How to handle such features? If I train the model with this, the model will not have the best precision, ...
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0answers
39 views

Machine learning after Cosine Similarity for fuzzy name matching

I am following ING Bank's Large Scale Fuzzy Name Matching and I have implemented their awesome_cossim_topn to produce a dataframe of names and their associated similarities. I then added the other ...
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2answers
33 views

Plots of data using DBSCAN algorithm not making sense

I am using clustering for my data. Since the DBSCAN algorithm will also tell me an estimate of clusters that I can use, I have used DBSCAN. I have tried for the ...
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0answers
15 views

Best model for removing a consistent background image

I'm working on an ML driven background replacement from photos, where the background will always be consistent, but the objects in front of that background (in this case humans) will be different - ...
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1answer
49 views

Training a Siamese Neural Network for object similarity assessment

I am training a Siamese neural network with pairs of similar and dissimilar objects. The features of the objects are binary data on whether they contain some properties or not (2048 features per ...
1
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1answer
34 views

which is better : F1-score of 'N' in imbalanced data or 'N+3' in balanced data?

I have a dataset with 4712 records. Label 1 is 1558(33%) and Label 0 is 3154 (67%) a) Currently when I run the model and analysis as is (without sampling techniques), I get an ...
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0answers
30 views

How can I “export” a model from Orange once I have prototyped a solution?

Using Orange, I would like to use the underlying python model within the control system of my device. The device is a simple machine which is not connected to the internet. My intent is to use the ...

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