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In the training.py file, the `train_save_model()` function uses a random forest classifier. We want to try linear classifier as a baseline.
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Right now neither [random_forest_classifier](https://github.com/smartcorelib/smartcore/blob/development/src/ensemble/random_forest_classifier.rs) nor [random_forest_regressor](https://github.com/smart…
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Hi,
I am trying to solve a binary classification problem with the dataset that contains 100 data rows with 40 feature columns. I applied Random forest on the given dataset. After applying the RF, I…
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### Description
Given the dataset on iris flowers, predict the species of flower given the following features :
1. sepal length
2. sepal width
3. petal-length
4. petal-width
There are three …
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Hi KarchinLab:
This error occurred when 2020plus was about to run to completion.
2020plus_10k.Rdata has already located in the `/data` directory. `../../2020plus/2020plus-1.2.3/data/2020plus_10k…
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## Objective
Implement the following Classification Models for classification of whether the ***'Type of Location'*** of the AQI data is ***'Industrial Area'*** or ***'Residential, Rural and other A…
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The test that is used to test the RF as a constraint learner doesn't work because:
1) Right now it does not use random forest, it uses base_classifier() which is OCT-H and not RF.
2) Even if I switc…
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The commit 01f15d8ce26ff6d8a472858e32959a71edc222ec adds a Random Forest classifier to predict the missing values (NaNs) in the categorical columns.
We should look into the classifier hyperparamete…
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#### Parent Issue: #7
The obvious place to apply parallelization for the new _Random Forest_ module is the **tree creation** process. If we have _N_ number of trees and _T_ training sets, random fore…
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### Description
Given dataset with different features of wine, predict its quality. The quality is an integral score between 0 and 10.
The dataset can be found [here](https://archive.ics.uci.edu/ml/…