Questions tagged [machine-learning-model]

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11 views

What ML model should I use for matching 3 datasets on a selection of common columns?

I am very new to machine learning so I am looking for suggestions on which model might be appropriate for my case. I have 3 tables that I need to match. column names don't match but I can modify ...
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14 views

What ML model should I use for matching 3 datasets on a selection of common columns? [closed]

I am very new to machine learning so I am looking for suggestions on which model might be appropriate for my case. I have 3 tables that I need to match. column names don't match but I can modify ...
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0answers
13 views

Building the right prediction process with machine learning

I am working on a two-class classification model to predict if some lead becomes a sale. At this moment I have all leads try to predict these ones, which are sales. I become good metrics right now ...
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14 views

AxisError: axis 1 is out of bounds for array of dimension 1

I've used svm classifier. Now I need to construct the confusion matrix. Here is the code that I have used. ...
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Number prediction [closed]

I would like to know if I could predict the next number from a large available sequence of numbers using orange. If so please help me with the detailed steps as I am new to this field.
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Learning curve and Lambda curve doubt!

Please tell me if my understanding is right or not! I am stuck on this for long! First, Let's consider Linear regression. Now, For this we define a cost function without regularization. After ...
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1answer
25 views

How to choose the best algorithm

this might be simple but I need to know how to choose a best algorithm based on a scenario. I have a dataset. The target class is, let's say color, this ...
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2answers
11 views

Regression and Machine learning models for panel data

I have a panel data which consists of the sales of different companies across different years. Can someone tell me what kinds of regressiona and ML methods we use for forecasting the sales? Thanks
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2answers
34 views

Decision Tree gives 100% accuracy - what am I doing wrong?

My assumption is that my training set includes the test set, but I don't know how to change this. ...
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1answer
10 views

Identify same product

I am new to ML and still learning it. My problem is to identify duplicate products. I have a dataset containing product details such as name, colour, size, description, features etc (there are ...
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1answer
20 views

Finding gender affinity for businesses

What are the different models I can use to find the gender affinity of businesses using yelp dataset-- https://www.kaggle.com/yelp-dataset/yelp-dataset . I need to find Probablity (Male buying from a ...
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15 views

How to reconstruct an unbiased data set?

Imagine that every month, I have a "virgin" data set consisting of data points (e.g. people that have stopped paying a subscription) with certain features (e.g. geo-demographic information and payment ...
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8 views

WaveNet implementation question

I'm trying to understand an implemenation of wavenet here: https://github.com/Dankrushen/Wavenet-PyTorch/blob/cfcfde22b874055f43b436df1cb0e11338e59b44/wavenet/models.py#L195 This block of code is ...
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1answer
36 views

Building a prediction model for dynamic coordinates and later categorize as binary classification

Project Summary I have a website (academic project) that records mouse movements such as click, mouse up, mouse down, etc. It records the coordinates for each event on a given web page from a visitor....
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2answers
16 views

Decision tree with multiple outputs

I have a sample with 10 independent variables (X1, X2, X3 ....), and multiple output labels (y1, y2, y3). Here y1 will depend on X1, X2 y2 will depend on X3, X4 and so on. y1, y2, y3 might or might ...
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20 views

Tensorflow 2.0 doesnt seem to be detecting my GPU, and runnning on CPU only

Today I tried to train a tensorflow model on my laptop and realized that it was taking way too long. I checked my system's processes and realized that my CPUs were being over-worked and my GPU wasn't ...
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1answer
9 views

How and When features are attached to target label

I am using Mallet CRF library and having training set sequences like below. ...
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19 views

Unable to apply my model on separate test file

This is the training model and df is the dataframe: Then, I've applied some operations according to the requirement: ...
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12 views

Improve performance for known unlabelled test set

I'm training a machine learning model from a training set of $1000$ samples (but around $23000$ features). I'm fairly content with my cross-validated results, but would like to improve it further by ...
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21 views

how to correctly output precision, recall and f1score in keras?

I have a data set of images that I divided into Training and Testing folders, each divided into the two classes I am classifying. I use Keras generators to fit and evaluate the data. I found some ...
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1answer
26 views

Getting a best k in KNN Algorithm

So, i was learning the KNN Algorithm and there i learnt cross Validation to find a optimal value of k.Now i want to apply grid search to get the optimal value.I found an answer on stack overflow where ...
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1answer
24 views

MAE estimation for k-fold cross-validation

I have code that estimates RMSE for k-fold cross-validation and I think it is correct (from book: Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition by Aurélien Géron) <...
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1answer
9 views

Optimization function returns the same optimal parameters for two labels

I've recently enrolled in the Coursera machine learning, and am working my way through making my own classifier for the Iris dataset problem using matlab. I'm training a classifier for each species (...
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15 views

What is the difference between the distributed execution environments and the distributed machine learning algorithms?

I'm starting to learn about big data. What are the difference between distributed execution environments and distributed machine learning algorithms?
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22 views

NLP/Text Analytics : How to extract relevant features from a given text so as to predict the future probability of the label assigned?

Actually I am a bit stumped as to how one can approach the problem where for a given historical text data, we have to predict the probability of approval for the new text data. For further ...
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11 views

Does Generalised Additive Models handle Multicollinearity out of the box while building a Regression Model in Python

While Building a Generalised Additive Model for Logistic Regression, will the multicollinearity between the predictor variables are taken care of out of the box by the algorithm or do we need to ...
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1answer
25 views

Build a Generalised Regression Model Containing Linear and Non Linear Predictor Variables with a Target Variable in Python

Imagine a dataset having five predictor variables and a target variable, through scatter plot I observed three predictor variables having a linear relationship with the target variable and the other ...
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1answer
30 views

Binary Classification Comparing two time series of variable length

Is there a machine learning model (something like LSTM or 1D-CNN) that takes two time series of variable length as input and ...
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22 views

Keras - Custom loss function with multiple output and different weights

I'm trying to train a network with multiple outputs, in the below code: the loss from X, Y logits are weighted equally in the loss function. I want X weighted twice than Y. I tried Loss weight when ...
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47 views

Neural Network Architecture to approximate simple function

What neural network architecture would approximate this function? This is monotonically decreasing non negative time series, that has non-stationary mean. $$ q(t) = \frac{qi}{(1+b*D*t)^(\frac{1}{b})}...
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62 views

Which of the following is a consequence of Selecting model complexity on test data? (multiple right answers)

Selecting model complexity on test data (choose all that apply): A. Allows you to avoid issues of overfitting to training data B. Provides an overly optimistic assessment of performance of the ...
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1answer
10 views

something wrong with my Alexnet

I made Alexnet NN but it had brought out an error input : image of 32*32*3 output : 10 classes below is my Alexnet code ...
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2answers
39 views

Which ML algorithm should I use for following use case for classification and Why?

I have data in table format having total 3 columns. One column for label, other two columns are features. So, such 30 rows(1 row contains 2 feature and 1 label) make one set of data with all 30 rows ...
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2answers
71 views

Why do decision trees have low accuracy?

It seems to be generally acknowledged that decision trees have low prediction accuracy. Is there a concise explanation for why they have low accuracy? I've read this so much, I've accepted it to be ...
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96 views

Optimising for Brier objective function directly gives worse Brier score than optimising with custom objective - what does it tell me?

I am training an XGBoost model and as I care the most about resulting probabilities, not classification itself I have chosen Brier score as a metric for my model, so that probabilities would be well ...
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1answer
23 views

Predictions of a Deep Learning Model

I’ve built a model that classifies digits from 0-9. My dataset is tf.keras.datasets.mnist. I use softmax as the activation function for the output layer. Q1: The output layer should consist of 10 ...
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1answer
21 views

How does resnet model restores the skipped layers as it learns the feature space?

From the definition of resent from wikipedia: it is mentioned that resent model uses fewer layers in the initial training stages. This speeds learning by reducing the impact of vanishing gradients, as ...
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46 views

Is it a good practice to exclude the noisy data for training a model?

I executed a linear search on an array containing all unique elements in range [1, 10000], sorted in increasing order with all search values i.e., from 1 to 10000 and plotted the runtime vs search ...
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48 views

Hedge fund rank on their returns or rating predictions modeling problem

Problem: Hi, I m a new machine learning practitioner. I have a dataset about hedge funds. It contains monthly hedge fund returns and some financial metrics. I calculated metrics for every month from ...
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2answers
28 views

ValueError: Error when checking input: expected dense_9_input to have 2 dimensions, but got array with shape (60000, 28, 28)

I'm doing a regular detection of numbers from photos with MNIST, but when i try to fit my model, it doesn't work, and it dispayed this message... ...
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1answer
27 views

Do I use the mean vector from my training set to center my testing set when dimension reducing for classification?

Please let me know if this is the right place to ask this (or if any of my tags are wrong) or if I need to write this any differently. Do I use the mean vector from my training set to center my ...
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1answer
20 views

Create new data set

I am going to classify the hotel reviews as positive, negative and neutral. For train the model I couldn't find any data set with labels positive, negative and neutral. I could find this Hotel Reviews ...
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12 views

Guidance on sequencing the data science professional courses

I am planning to start data science online professional courses at Harvard University, but I don't which course should I begin with . I request for help in sequencing these courses below so that I can ...
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2answers
21 views

Keras fit_generator() for long signals

I want to make an LSTM network and I have quite a long signal that I want to use as my training data My X_train is a CSV-file which contains 12 signals with a length of 54 837 488 My y_train is an ...
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1answer
55 views

Confusion matrix and ROC AUC curves are not in sync

I created a classification model with three target classes and created a confusion matrix to measure the accuracy, here is the matrix code ...
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3answers
60 views

How to determine which features matter the most?

I have a large dataset which consists of search results of loans. Someone would input their details like income etc and the results would include a bunch of loans from different companies and ...
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8 views

How to compute Cramer's V if each variable 1 has more than 1 variable 2?

We're monitoring a plant's reactivity to nutrients. We administer different combination of nutrients to the plant every day and record it's reactivity on daily basis. Some of the nutrients/conditions ...
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1answer
20 views

An error coming out when fitting a model with keras

I am trying to build a model using kerras but for some reason I receive a ...
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16 views

Which machine learning technique can be used for predicting customer behavior? The description of the case is mentioned below

The customers apply request for getting an estimated amount for the service. Then the customer decides if they want the service or not. In this case there are multiple customers and multiple services ...

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