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Questions tagged [mse]

MSE stands for mean-squared error. It's a measurement of an empirical loss in certain mathematical models, especially regression models.

233 questions
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The default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'

I am trying to fit XGBClassifier to my dataset after hyperparameter tuning using optuna and I keep getting this warning: the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss' Below is my…
spectre
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How to calculate Normalised Mean Square Error (NMSE) and why to use it?

I've been told I need to normalise my MSE for my thesis involving neural networks. Equations for NMSE seem a bit few and far-between. I have the following and want to corroborate it if possible: Is the standard deviation term supposed to be…
Archie
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Finding Mean Squared Error?

I have produced a linear data set and have used lm() to fit a model to that dataset. I am now trying to find the MSE using mse() I know the formula for MSE but I'm trying to use this function. What would be the proper way to do so? I have looked at…
Dan
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Working with SSIM loss function in tensorflow for RGB images

I want to use SSIM metric as my loss function for the model I'm working on in tensorflow. SSIM should measure the similarity between my reconstructed output image of my denoising autoencoder and the input uncorrupted image (RGB). As of what I…
Yousif H
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Training MSE loss larger than theoretical maximum?

I am training a keras model whose last layer is a single sigmoid unit: output = Dense(units=1, activation='sigmoid') I am training this model with some training data in which the expected output is always a number between 0.0 and 1.0. I am…
oooliverrr
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Pytorch, Unable to get repr for

I'm implementing some RL in PyTorch and had to write my own mse_loss function (which I found on Stackoverflow ;) ). The loss function is: def mse_loss(input_, target_): return torch.sum( (input_ - target_) * (input_ - target_)) /…
bene
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Converting fragmented mp4 file for MSE (Media Source Extensions)

I'm looking for a way to generate proper fragmented *.mp4 files for MediaSourceExtension (Chrome). I tried out the example from here: http://people.mozilla.org/~jyavenard/tests/mse_mp4/paper.html and with the given video file it worked just fine. So…
Die Usche
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Calculating mean square error return y_true and y_pred have different number of output (1!=10)

I am really new with deep learning. I want to do a task which asks: Evaluate the model on the test data and compute the mean squared error between the predicted concrete strength and the actual concrete strength. You can use the mean_squared_error…
user907988
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How to display R-squared value on my graph in Python

I am a Python beginner so this may be more obvious than what I'm thinking. I'm using Matplotlib to graphically present my predicted data vs actual data via a neural network. I am able to calculate r-squared, and plot my data, but now I want to…
paula.n
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How to find a precent value that represents how much two arrays are different?

I have two arrays. I want a percent value that describes how much their values are different. I try using MSE and RMSE: /** * Mean Squared Error * MSE = (1/n) * Ʃ[(r - p)^2]} */ export function computeMse(a, b) { const size = a.length let…
user7558372
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Unsupported HLS video on iOS mobile

A quick backstory, I am building a baby-monitor with a Raspberry Pi and writing a web frontend with Node.JS. I have a handful of old phones that I plan to leave around the house so baby-monitors can be scattered about. So far much of the whole…
rbprogrammer
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the loss of mse always be 0 when keras for topic predict

my input is a 200 dims vector, which is generated by mean of the word2vector of all words of a article, my output is a 50 dims vector,which is generated by the LDA results of a article I want to use mse as the loss function,but the value of the loss…
Jaspn Wjbian
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MFCreateFMPEG4MediaSink does not generate MSE-compatible MP4

I'm attempting to stream a H.264 video feed to a web browser. Media Foundation is used for encoding a fragmented MPEG4 stream (MFCreateFMPEG4MediaSink with MFTranscodeContainerType_FMPEG4, MF_LOW_LATENCY and MF_READWRITE_ENABLE_HARDWARE_TRANSFORMS…
Fredrik Orderud
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Getting worse result using keras 2 than keras 1

I ran the same code (with the same data) on CPU first using keras 1.2.0 and then keras 2.0.3 in both codes keras is with TensorFlow backend and also I used sklearn for model selection, plus pandas to read data. I was surprised when I got the…
TRiba
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How to extract the CV errors for optimal lambda using glmnet package?

I'm using the glment package for regression in R. I do the cross validation using cv.fit<-cv.glmnet(x,y,...), and I get optimum lambda using cvfit$lambda.min. but I want to also get the corresponduing MSE(mean square error) for that lambda. would…
user2806363
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