Questions tagged [error-handling]

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10 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,...
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0answers
16 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 ...
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1answer
32 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 ...
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2answers
20 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: ...
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1answer
36 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 ...
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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 ...
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1answer
49 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
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1answer
55 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
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1answer
150 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 ...
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1answer
1k 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 ...
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1answer
6k views

TypeError: '<' not supported between instances of 'int' and 'str'

I have the following code ...
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0answers
17 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 ...
2
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1answer
491 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. ...
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1answer
60 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 ...
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2answers
7k 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 ...
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0answers
32 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 ...
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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....
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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
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0answers
49 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 ...
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1answer
64 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
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1answer
125 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 ...
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0answers
764 views

XgBoost error: contrasts can be applied only to factors with 2 or more levels

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2answers
11k 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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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 ...
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1answer
132 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." ...
2
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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
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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. ...