Questions tagged [confidence]
The confidence tag has no usage guidance.
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Correctness of derivation for binary F1 variance for F1 confidence intervals
I'm developing a python library for confidence intervals for common accuracy metrics, with both analytic and bootstrap computations.
Following this paper, I implemented the Macro and Micro F1 scores ...
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Precision vs probability
Say I have a model which predicts a class $C_i$ from an input $X$, with a probability of 0.95 i.e $P(C_i| X)=0.95$. That would mean that if we do this over and over, then 95/100 times we would be ...
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Is there a way to quantify uncertainty in classification?
I'm thinking of a way to build an extension to a binary classifier (actually I will get the output probabilities like in logistic regression, so technically you should call this regression) that ...
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How to find confidence sets for a bunch of regression functions?
Unlike confidence intervals where we are interested in indicating a range of beta values in which the true parameter lies 95% of all times, I would like to understand how confidence sets are ...
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Statistical significance in multiple groups
What is the most appropriate test to validate significance in the case I'm comparing multiple different groups? e.g.
I have different groups of ages (teenager, young, adult, elderly) and a conversion ...
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Overall acurracy +/- E (with 90% C.I.)
I am assessing the accuracy of my classification model. I performed a 4-folds cross-validation and I obtained the following Overall Accuracy: OA = (0.910, 0.920, 0.880, 0.910). So, the average OA is 0....
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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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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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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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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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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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