# fit-classifier-naive-bayes error
**URL:** https://forum.qiime2.org/t/fit-classifier-naive-bayes-error/26503
**Category:** User Support
**Created:** [May 18, 2023, 1:11pm UTC](https://forum.qiime2.org/t/fit-classifier-naive-bayes-error/26503 "2023-05-18T13:11:25Z")
**Posts on this page:** 6
**Page:** 1
### Author:  [@eDNA](https://forum.qiime2.org/u/eDNA)
#### Post date: [May 18, 2023, 1:11pm UTC](https://forum.qiime2.org/t/fit-classifier-naive-bayes-error/26503/1 "2023-05-18T13:11:25Z")
Hello, I downloaded the database for CO1 from MIDORI 2 ([Download](http://www.reference-midori.info/download.php)).
I unzipped the files, imported into QIIME2-2023.2. I run below command in my mac, and it did not work.
```auto
qiime feature-classifier fit-classifier-naive-bayes \
--i-reference-reads MIDORI2_UNIQ_NUC_SP_GB255_CO1_QIIME.qza \
--i-reference-taxonomy MIDORI2_UNIQ_NUC_SP_GB255_CO1_QIIME.taxon.qza \
--verbose \
--o-classifier CO1_classifier.qza
```
**/miniconda3/envs/qiime2-2023.2/lib/python3.8/site-packages/q2\_feature\_classifier/classifier.py:102: UserWarning: The TaxonomicClassifier artifact that results from this method was trained using scikit-learn version 0.24.1. It cannot be used with other versions of scikit-learn. (While the classifier may complete successfully, the results will be unreliable.)**
**warnings.warn(warning, UserWarning)**
**zsh: killed qiime feature-classifier fit-classifier-naive-bayes --i-reference-reads**
I also run the same command in a server and got below error message:
**Plugin error from feature-classifier:**
U**nable to allocate 120. GiB for an array with shape (20000, 807796) and data type int64**
\*\*\*\*Deb **ug info has been saved to /tmp/qiime2-q2cli-err-djk90mzh.log**
I was wondering what the warning message means and how I can train the classifier properly.
---
### Author:  [@cherman2](https://forum.qiime2.org/u/cherman2)
#### Post date: [May 18, 2023, 2:53pm UTC](https://forum.qiime2.org/t/fit-classifier-naive-bayes-error/26503/2 "2023-05-18T14:53:21Z")
Hi @eDNA,
This error is saying that you do not have enough memory to run this command. It takes a lot of memory to train a classifier!
Do you know how much RAM is available on your MAC? Do you have access to an HPC because that might be necessary to run this command?
---
### Author:  [@eDNA](https://forum.qiime2.org/u/eDNA)
#### Post date: [May 18, 2023, 3:12pm UTC](https://forum.qiime2.org/t/fit-classifier-naive-bayes-error/26503/3 "2023-05-18T15:12:36Z")
The memory on my mac is 16GB.
The number of sequences in the MIDORI2\_UNIQ\_NUC\_SP\_GB255\_CO1\_QIIME.qza file is 2809132.
How much memory is needed? Yes, I have access to an HPC and a server.
When I run the command in a server, I set
```auto
#SBATCH --mem=120G
#SBATCH --cpus-per-task=32
```
I got the error I mentioned in the post.
---
### Author:  [@cherman2](https://forum.qiime2.org/u/cherman2)
#### Post date: [May 18, 2023, 3:36pm UTC](https://forum.qiime2.org/t/fit-classifier-naive-bayes-error/26503/4 "2023-05-18T15:36:42Z")
Hi @eDNA,
It looks like you will need more than 120G of memory!
> [@eDNA](#):
>
> `#SBATCH --mem=120G`
I can't predict the exact amount of memory you will need.
However, This task doesn't have the option for multi-threading so I think this isn't doing anything helpful.
> [@eDNA](#):
>
> `#SBATCH --cpus-per-task=32`
Hope that helps!
🐢
---
### Author:  [@cherman2](https://forum.qiime2.org/u/cherman2)
#### Post date: [May 18, 2023, 7:35pm UTC](https://forum.qiime2.org/t/fit-classifier-naive-bayes-error/26503/7 "2023-05-18T19:35:36Z")
Hi again @eDNA,
Another moderator chimed in with some helpful advice!
Have you dereplicated your reference database? Here is the [rescript tutorial](https://forum.qiime2.org/t/processing-filtering-and-evaluating-the-silva-database-and-other-reference-sequence-data-with-rescript/15494) that may be helpful with that.
You could also skip the classifier and run `feature-classifier classify-consensus-blast` or `feature-classifier classify-consensus-vsearch`. For this you may want to consider setting either `--p-maxaccepts 32 --p-maxrejects 128` or `--p-maxaccepts 64 --p-maxrejects 256` as opposed to performing an exhaustive search.
Hope that helps!
🐢
---
### Author:  [@system](https://forum.qiime2.org/u/system)
#### Post date: [June 19, 2023, 1:35am UTC](https://forum.qiime2.org/t/fit-classifier-naive-bayes-error/26503/8 "2023-06-19T01:35:54Z")
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