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Questions - random-forest

Building a Random Forest Classifier with equal output probabilities to a Decision Tree Classifier

I have been trying to build a RandomForestClassifier() (RF) model and a DecisionTreeClassifier() (DT) model in order to get the same output (only for learning purposes). I have found some questions wi...
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Chris

python

machine-learning

scikit-learn

random-forest

decision-tree

Votes: 0

Answers: 1

Latest Answer

It appears to be due to random states, despite your best efforts. For the random forest to be effective at its randomization, it needs to provide each component decision tree with a different random ...
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Ben Reiniger

Get waterfall plot values of a feature in a dataframe using shap package

I am working on a binary classification using random forest model, neural networks in which am using SHAP to explain the model predictions. I followed the tutorial and wrote the below code to get the ...
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The Great

python

machine-learning

classification

random-forest

shap

Votes: 0

Answers: 1

Latest Answer

Try following: from sklearn.ensemble import RandomForestClassifier from sklearn.datasets import load_breast_cancer from shap import TreeExplainer, Explanation from shap.plots import waterfall import ...
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Sergey Bushmanov

Running random forest loop, predicting to unsampled locations and saving outputs

I would like to run a random forest 100 times, save train and test AUC and OOB scores, predict to model spatial extent, save mean, standard error and coefficient of variation per cell, then write to r...
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TJeff

r

regression

random-forest

spatial

Votes: 0

Answers: 0

Error in eval(predvars, data, env) : object 'model_.B' not found in RandomForest function

$ price : int 11200 27000 16000 12750 14500 14900 16000 16250 14250 14250 ... $ transmission : Factor w/ 3 levels "Automatic","Manual",..: 1 ...
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Dimitris Karditsas

r

random-forest

Votes: 0

Answers: 0

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