All Questions
20 questions
0
votes
0
answers
76
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ValueError: setting an array element with a sequence. In decisionTreeClassifier fit
I have the following code, I'm just trying to teach myself how to use a machine learning model.
import ast
import csv
import pandas as pd
import numpy as np
from sklearn.tree import ...
1
vote
1
answer
479
views
IndexError: tuple index out of range in LabelEncoder Sklearn
I would like to train a DecisionTree using sklearn Pipeline. My goal is to predict the 'language' column, using the 'tweet' as ngram transformed features. However I am not able to make the ...
- 510
0
votes
1
answer
1k
views
Decision Tree Classifier took 16min to fit
So, for some reasons, It took my laptop to 16min to fit data into DecisionTreeClassifier. It usually take like 1 sec to fit into other type of machine learning model. Anyone can help me with what is ...
- 163
1
vote
1
answer
228
views
How to input custom metric in RandomizedSearchCV?
I need to choose best model by the metice smape_final. For this, I wrote a function:
def smape(A, F):
return 100/len(A) * np.sum(2 * np.abs(F - A) / (np.abs(A) + np.abs(F)))
which I use later:
...
0
votes
0
answers
64
views
Fix the execution error in the decision tree in Python
I want to implement the decision tree in my database but I got the following error. Can anyone guide me?
df = pd.read_csv('sample.csv')
X_train, X_test, y_train, y_test = train_test_split(df, df, ...
- 302
0
votes
0
answers
80
views
How to make a shallower classification tree with OK score?
I'm new to Phyton and I wish to understand how I can shallow my classification tree maintaining an OK score.
I have a data file with Survived, Sex, Age, and Class from a boat that sunk.
I created a ...
0
votes
1
answer
9k
views
ValueError: could not convert string to float: 'what' (Sklearn), How to use the labelencoder?
I have two training sets input and output set
X = df['First Word']
y = df['Answers']
When I tried:
from sklearn.tree import DecisionTreeClassifier
model = DecisionTreeClassifier()
model.fit(X,y)
...
- 1,016
0
votes
0
answers
90
views
What could cause -->TypeError: float() argument must be a string or a number, not 'method'
trying my hands on the kaggle titanic competition;
I ran the code below and got the error message in the title. What could I be doing wrong?
# run decision tree model on the data and printing the ...
- 9
0
votes
0
answers
118
views
Decision tree algorithms in Python
I wanted to classify a few datasets with ID3, C4.5, CHAID and CART Decision Trees, but the sklearn library only uses the CART and ID3 algorithms (by changing the 'criterion' parameter). Could anyone ...
0
votes
2
answers
1k
views
how to i handle a multiclass decision tree?
I am new to python & ML, but I am trying to use sklearn to build a decision tree. I have many categorical features and I have transformed them into numerical variables. However, my target feature ...
1
vote
1
answer
850
views
Predicted class along with its corresponding probability
I have built a machine learning model using maxvoting(Decision tree, Random Forest, Logistic Regression) classifier. For which i have have the input as
{
"Salary": 50000,
"Current loans": 15000,
"...
- 454
1
vote
1
answer
556
views
Extracting rules to predict child nodes or probability scores in a Decision Tree [closed]
I am relatively new to Python implementation of Decision Tree. I am trying to extract rules to predict only child nodes and I need it to be able to predict probability scores (not just final ...
- 171
2
votes
1
answer
15k
views
How to get feature importance in Decision Tree?
I have a dataset of reviews which has a class label of positive/negative. I am applying Decision Tree to that reviews dataset. Firstly, I am converting into a Bag of words. Here sorted_data['Text'] is ...
- 1,825
10
votes
2
answers
8k
views
Getting decision path to a node in sklearn
I wanted the decision path (i.e the set of rules) from the root node to a given node (which I supply) in a decision tree (DecisionTreeClassifier) in scikit-learn. clf.decision_path specifies the nodes ...
- 101
1
vote
1
answer
507
views
Sklearn DecisionTreeclassifier returning impossible value for split
I'm trying to implement a DecisionTreeClassifier from sklearn with a DataFrame (pandas), but it returns some weird values when splitting my data. My dataset contains 3 columns with Pearsons ...
- 414