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**Summary !!!**
- **BioModel Name**: Pu2019 - eToxPred: an ML-based approach to estimate the toxicity, and synthetic accessibility of drug candidates
- **BioModel Tag**: Machine learning model, …
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Problem Description:
The goal is to predict the likelihood of cervical cancer in individuals based on various risk factors such as age, number of sexual partners, pregnancies, and other related att…
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The following case should be an error: train a model on some data then call `predict` with completely unrelated data (i.e. no features in common with the training set).
All of turicreate's regress…
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Hi, I'm trying to use the dixonfix on 6pt dixon images of size 384x384x340 with a spacing of 1.17x1.17x2. I do succeed to running it and get some output, but the result is not very good. So I was wond…
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Great programme, really user friendly.
I would like to ask for/suggest the following adding:
1) reverse binomial regression
2) BARP (Bayesian additive regression trees (BART) when combined with po…
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Here is an outline with a todo list for various sections. Please edit as needed and update status. They can be checked off if they are mostly there, as I'm sure we will tinker until the course starts.…
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### Contact Details
puzh@dhigroup.com
### Dataset description
This dataset contains Global Ecosystem Dynamics Investigation (GEDI) Level 4C (L4C) Version 2 predictions of the Waveform Structural Co…
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decision trees - CART 4.5
random forests
extremely random trees
kmeans
svm
SGD
http://leon.bottou.org/projects/sgd
linear regression
logistic regression
MARS
feature selection algorithms
http://…
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I am using quantile forest in the GRF package on my data which is around 12 million records. I have a couple of questions:
- The model trains fine, ie, in around 1 hour when i use 300 trees (am run…
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In terms of functionality, the mid-term end goal is to achieve an offering of ML algorithms and pre-processing routines comparable to what is currently available in Python's [`scikit-learn`](https://s…