Questions tagged [confidence]

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Prediction intervals is the correct way for upper bound prediction?

I was tasked with a relatively straightforward problem at work: Given an already preprocessed training dataframe X and its corresponding target vector y, find the estimated upper bound in performance ...
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How to test the confidence for a rule based system?

I have a multi-class dataset and I generated based on it rules. That is, if certain features are seen then it must be a certain class. I chose only rules with precision 1 (with respect to the whole ...
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How to use confidence labels?

I have 2 sets of training data in csv files. The training data have class labels, 1 for memorable, and 0 for not memorable. In addition, there is also a confidence label for each sample. The class ...
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Effect of size of data on the confidence on the coefficients in Linear regression?

What is the impact of size data on the confidence (p-value) of model coefficients?. Does increasing the size of data always improve the confidence in the model coefficients? Suppose I have 100 data ...
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Evaluate Dendrogram Statistical Significance

I have N=21 objects and each one has about 80 possible not NaN descriptors. I carried out a hierarchical clustering on the objects and I obtained this dendrogram. I want some kind of 'confidence' ...
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How are the confidence intervals of a model interpreted?

I am doing some work with R and after obtaining the confusion matrix I have obtained the following metrics corresponding to a logistic regression: ...
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Association rules - Find 100% confidence rules [closed]

Suppose there are 100 items, numbered 1 to 100, and also 100 baskets, also numbered 1 to 100. Item i is in basket b if and only ...
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Approximation of a confidence scores from a neural network with a final softmax layer: Softmax vs other normalization methods

Say that there is a neural network for classification and the 2nd to last layer are 3 nodes, and the final layer is a softmax layer. During training the softmax layer is needed, but for inference it ...
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Confidence intervals for evaluation on test set

I'm wondering what the "best practise" approach is for finding confidence intervals when evaluation the performance of a classifier on the test set. As far as I can see, there are two ...
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data analysis leads to linear regression model: how to proceed with prognosis?

Data analysis of a large dataset of project management data together with working hours led me to a surprisingly simple linear model over the key milestones of all projects. Now I am a bit at loss on ...
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Excluding data via confidence score: Is it a good idea?

Let's say I have a model which has a binary classification task (Two classes of 0 and 1) and therefore, it outputs a number between 0 and 1, if it is greater than 0.5 we consider it to be class 1 and ...
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How to State The Confidence of Accuracy/Inaccuracy?

Consider that I have a dataset automatically acquired by a machine that returns the following measurements: [111, 121, 114, 154, 149, 150] I then go and manually ...
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How to predict only those values that our model is 95% sure of?

I have 5 classes. I made a XGBoost Classification model and used model.predict(test) to predict the classes of test dataset. Out of all those values predicted by my ...
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Plotting confidence intervals

For the following dataframe, I am trying to plot the means of a sample of 5 random rows . And also plot their respective confidence intervals using errorbars. I am unable to figure how to plot the ...
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Producing a confidence output to use in a weighted average layer

I am trying to solve a problem where the input consists of an unordered set of observations (variable size), and the desired output is a single value describing some property of the observations as a ...
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Confidence score for all observations is between 0.50 - 0.55

Hello Data Science Stack Exchange Community, This question will appear to be open-ended, however any answers or thought will be much appreciated. I am trying to go-through a pre-trained Random Model ...
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Narrow confidence Interval of forecast

I am new to data science so please accept my apology in advance. I am trying to predict the value using ARIMA. I have got weekly value for the current year. Based on the available weekly values, I ...
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Confidence in the rewards for a RL task

For a RL task that I am trying to solve, for which I train once per day, I have the rewards stored for each of those days, so that I can see the progress on daily basis. In the beginning of the ...
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Difference between test statistic and sample statistic?

Test statistic and sample statistic are used to check statistical significance. How do I understand the procedure in background of reaching a conclusion about an effect-size estimate.
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Interpreting confidence interval results for datasets

I have created a dataset automatically and wanted to clarify my interpretation of the amount of noise using the confidence interval. I selected a random sample and manually annotated the sample and ...
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Confidence rating for regression tasks

In classification tasks, we can interpret the output vector as how "confident" the model is that the input has a certain label. For example, ...
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Relation between Cross Validation and Confidence Intervals

I've read from a source which I forgot where that 'In cross validation, the model with best scores at 95% confidence interval is picked'. But according to my stat knowledge, in order for CI (...
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Understand how to simulate a statistics [closed]

This solution describes how to simulate statistics to find a confidence interval. A journalist called 1000 people in town to ask who will they be voting for out of candidates A and B. The observed ...
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Predict_proba for Binary classifier in Tensorflow

I'm working in binary classifier problem, where I have used Tensorflow low level API's. Last layer wrapped with Sigmoidal Function and just returning a single value. For my prediction I just set a ...
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