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False Negative vs False Positive for Multiclass classification

To answer your specific question, the first 3 cases are incorrect prediction, and hence should all be colored red, and the 4th one should be colored green (correct prediction). Strictly speaking, past ...
jginestet's user avatar
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2 votes

False Negative vs False Positive for Multiclass classification

This is confusing because calling a classification positive or negative is only really meaningful when there are only two options (positive/negative). If there are more options, there are multiple ...
mkt's user avatar
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3 votes

Representing growth in learning outcomes

Honestly, it's just 4 numbers, you can't beat just reporting those. That said, you might also say: Scores were $1.6\times$ better Scores improved by $30$ percentage points Scores improved by $60\%$ (...
Frans Rodenburg's user avatar
0 votes

Discrepancy between ggsurvplot predicted survival curves and raw data

The power of survival analysis comes from the number of events, not the number of total cases. The usual rule of thumb, to avoid overfitting, is to estimate no more than 1 coefficient per 15 or so ...
EdM's user avatar
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0 votes

Does anyone know any good open source software for visualizing data from database?

There are many open-source software options for visualizing data from a database. Tableau Public and Google Data Studio are good choices, but if you need a more comprehensive and user-friendly tool, ...
Jagger's user avatar
  • 1
0 votes

Visualizing categorical data with 7 variables

@MaartenPunt has provided a good start. Let me expand on those ideas. The notion of a stacked bar chart stratified by another variable is very close to a mosaic plot (see also here). The primary ...
gung - Reinstate Monica's user avatar
0 votes

Best solution was not repeated - no reliable result for metaMDS?

I have seen diagnostics like these with pitfall trap data used in a lab exercise for my Ecology students. It is likely you have many rare species scattered among your traps - a sparse matrix (many ...
IMH's user avatar
  • 41
2 votes

How to work out the expected rate of success when there is a guaranteed success on the nth attempt?

A simple question, stated in an elementary fashion, deserves a short elementary solution. It also deserves some consideration of what it is actually asking for. This post offers both. To establish ...
whuber's user avatar
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2 votes

How to work out the expected rate of success when there is a guaranteed success on the nth attempt?

You could simulate it as follows: Perform $n$ Bernoulli trials with probability of success $p$; If any trials were successful, note the first success; Otherwise, note the maximum, $n$; Compute the ...
Frans Rodenburg's user avatar
0 votes

How to work out the expected rate of success when there is a guaranteed success on the nth attempt?

I wonder whether this could be modelled via Hypergeometric distribution. Lets say you have $M=\left(N-1\right)+A$ boxes. And out of them $A$ boxes have a prize. So choosing the boxes randomly you will ...
Cryo's user avatar
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0 votes

Parallel Mediation Model Diagram

The short answer? The direct effect of group membership on outcome. The A-D variables are mediators that represent indirect effects. I can tell you from experience conducting significance testing of ...
JewJitsu11B's user avatar

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