Questions tagged [error-handling]
The error-handling tag has no usage guidance.
33
questions
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0answers
20 views
How to calculate error in omega having error in cos(omega*x)?
I have an equation $cos(\omega \times x) = c$. How can I calculate uncertainty in $\omega$ knowing (for each $x$) $c$ and uncertainty in $c$?
0
votes
0answers
19 views
Operands Could not be Broadcast with Shapes (19,)(0,)
I have googled and read something similar to the problem I have but I do not seem to know how to fix the error I got from this particular code:
...
0
votes
0answers
14 views
CNN models comparison
I coded a 38 layer CNN and 8 layer CNN but there's something wrong in my 38 layer CNN, which doesn't learn anything. Not able to fugure out what's wrong. They were trained on CIFAR.
0
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1answer
37 views
Making Sense of this Error Message
I am using a book and a video to learn how to use KNN method to classify movies according to their genres.This is my code:
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0
votes
1answer
17 views
Can an R^2, or coefficient of determination be used on non-linear data?
I have used the $R^2$ metric to determine how well my neural network performs a non-linear regression. And it seems to work. The plots look almost identical, and I get an $R^2$ value of 0.93... it ...
0
votes
1answer
70 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,...
0
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0answers
37 views
How to describe accuracy/error without ground truth?
I am using machine learning regression models to predict motor scores among a population with spinal cord injury using features derived from their actual movements. Although the clinical measure we ...
0
votes
1answer
45 views
What are good practices in reporting RMSE or MAPE estimates for a machine learning model?
I have built a regression model to estimate prices given some attributes. Prices are expressed in million USD, with average of 4.4 million USD. I need to provide an estimate of the RMSE and MAPE of ...
0
votes
2answers
21 views
I am getting different mean_absolute_error when i retrain my model everything same
I have set my numpy random seed to 0.
I am training on colab and using keras.
I didn't change anything.
I just re-ran my cell and the val_absolute_error changed.
Code:
...
1
vote
1answer
40 views
How to create a system to detect text structure of a file?
Let's say I want to create a Machine Learning system that has a lot of log files of some few types (F1, F2,.. Fn) and I get a new Log file with maybe some errors or ...
0
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0answers
8 views
Error using imread function in matlab code
I was doing some sort of speech recognition pattern for recognition of sound but I stuck at imread error in matlab, any advice what to change in picture below you can find code and error.
Code
Error
...
1
vote
1answer
61 views
Importing Excel format data into R/R Studio and using glmnet package?
I have no problem importing Excel formatted data into R/R Studio and use all other R packages that I use. But, when I want to use the glmnet package to develop a regularization model, I invariably ...
1
vote
1answer
74 views
Should I only use scalar labels with Keras LSTM?
I have an array X_train = (1110,25,2) and a y_train = (1110,5,2). It means I use arrays with length of 25 for inputs and length ...
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0answers
9 views
How to find a model for data with anomalous error
I have some data which seems to be distributed along a line with large negative erros
$Y \sim X - \epsilon \,\, $ with $\, \, \epsilon \in [0, \infty)$.
Somehow, the error is not gaussian and ...
1
vote
1answer
281 views
What is the error rate for random guessing?
I am studying for my Machine Learning exam. In sample exam questions, there is a specific one that I could not understand:
And the question is: "What is the error rate for random guessing?"
I could ...
0
votes
1answer
2k views
PySpark: java.io.EOFException
System:
1 name node, 4 cores, 16 GB RAM
1 master node, 4 cores, 16 GB RAM
6 data nodes, 4 cores, 16 GB RAM each
6 worker nodes, 4 cores, 16 GB RAM each
around 5 Terabytes of storage space
The data ...
2
votes
1answer
8k views
1
vote
0answers
21 views
binary classification for counting - estimating the error on counts due to error on prediction score
Ok, so I have the following set up:
I have a binary classification problem and I am classifying events into signal and background. Ultimately, I want to count how many background events and how many ...
4
votes
1answer
723 views
Training on accurate data versus noisy data
I have data currently available that is very accurate and I would like to train my classification methods on this set of clean data to learn the important markers for distinguishing between classes. ...
0
votes
1answer
70 views
Regression model performance with noisy dependent variable
I'm doing a support vector regression with the dependent variable representing measurements from an uncalibrated sensor (measurement error between 2% and 20%) and I want to study the effect of this ...
0
votes
2answers
9k views
Tensorflow InvalidArgumentError: You must feed a value for placeholder tensor
I come across this error when I run the following code, trying to get prediction on test data. By printing out operation names, I see no operation named ...
1
vote
0answers
34 views
k nearest neighbors method, temporal trend in error
I have this set of data that looks like this
I was asked o build a $k$-nearest neighbors algorithm for it which I just finished building. I have this question in regards to the data that I do not ...
1
vote
0answers
17 views
Implementation of reliable rule learning
I want to perform "reliable rule learning", i.e. mining a set of rules with a very low number of false negatives. I recently read the paper "Reliable agnostic learning" by Kalai et al. (https://doi....
1
vote
1answer
48 views
Matplotlib: plot indicating the precision of measurements
I have some data with some margin of error and am using numpy arrays to plot that data. Assuming the precision is, let's say, 0.05 or 0.03grams, then the data will be something like
[4.0 $\pm$ 0.05, ...
2
votes
0answers
50 views
Errorbars on a weighted average (of a non gaussian distribution)
I have some datapoints $x_i$ and errors $\sigma_i$ which are the absolute value of some datapoints $w_i$ with (supposed) gaussian errorbars (the $\sigma_i$). The $x_i$ are amplitudes so we did not ...
5
votes
1answer
65 views
Theoretical background for model arhitecture choosing
Suppose I have a dataset $X$ and two different binary labels $y_{1}$ and $y_{2}$. The classes are very imbalanced - 3% of true in $y_{1}$ and 2% in $y_{2}$. Moreover, there are no pairs of (0,1), so, ...
1
vote
1answer
126 views
Help training Back-propagation Neural Network With 150k training pairs
I am currently trying to train my backpropagation to classify 150k training pairs. Each training pair is a vector of 18 Bipolar numbers and it runs through 2 hidden layers with a final output of 1 ...
2
votes
0answers
838 views
2
votes
2answers
13k views
Problems with accuracy.score sklearn
I am learning python and trying myself out at mashine learning. I am reproducing a super simple example - based on the infamous iris dataset. Here it goes:
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3
votes
2answers
6k views
First steps with Python and scikit-learn
I believe I have a simple if not trivial question. I have a background in statistics and I tend to use Stata and R quite a bit. I am interested in learning Python. I used it for a while now and ...
1
vote
1answer
136 views
Uncertainty calculation through integration and correct analysis methodology
In the following text, uncertainty refers to standard deviation.
My methodology and notation was based mainly on the book "A Student's Guide to Data and Error Analysis" by H.J.C. Berendsen."
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2
votes
0answers
48 views
Modified Voting Algorithm to find the best recommendation
I have to find the best 10 items from the set of items for x number of given features. I don't know what the best recommendation will be. User data is not available to validate it. After reading a ...
-1
votes
1answer
130 views
R error using Knitr
I am attempting to compile code using Knitr in R.
My code below is returning the following error, and causes errors in the rest of the document.
...
