Varsha Chauhan

A user wants to update the word vectors using Word2Vec from gensim but does not work

Update=False works but when Update is set to true following error occurs. How to fix that?The solutions could be training the model after the Update is set to trueIn the above code, the model is not trained when Update is set to True. Below code can fix the error&

Data Science

Answered Dec 24, 2019 · 1.5K Views Read answer →

A user is trying to run a parallel kNN program on R but he gets this error: Error in { : task 1 failed - "could not find function "knn""

library(class) library(doSNOW) library(foreach) train

Data Science

Answered Dec 20, 2019 · 2.5K Views Read answer →

Which is the best evaluation parameter considered in a loan approval model and why?

In loan approval, precision can be dangerous because it considers false positive rate when a person is not eligible for a loan but a machine predicts that the person is eligible. The same problem is with recall which considers false negative rate because such evaluation can cause a loss to the bank because a person is…

Data Science

Answered Nov 30, 2019 · 1.5K Views Read answer →

Explain information value in Machine learning

It is the process used by the industries for reducing the major variables before fitting the model as a number of variables present in the final model would be about 10. It is used in the basic filtering of the variable and decided whether to include those in the model or not. It works by the following formula. The…

Data Science

Answered Nov 30, 2019 · 2.6K Views Read answer →

When to use factor() function in R?

factor() function is used when the data mostly contains categorical variables.This specific function will become extremely useful when we begin to apply data analysis and machine learning techniques to our data. This idea is sometimes also known as creating dummy variables. animal

Data Science

Answered Nov 29, 2019 · 1.6K Views Read answer →

A user implemented a Gini coefficient in Python

def gini(x): # Mean absolute difference. mad = np.abs(np.subtract.outer(x, x)).mean() # Relative mean absolute difference rmad = mad / np.mean(x) # Gini coefficient is half the relative mean absolute difference. return 0.5 * rmad

Data Science

Answered Nov 9, 2019 · 2.0K Views Read answer →

Compare logistic regression with decision tree along with a case study in Python

First we import the data # Importing the libraries import numpy as np import matplotlib.pyplot as plt import pandas as pd # Importing the dataset dataset = pd.read_csv('Social_Network_Ads.csv') X = dataset.iloc[:, [2, 3]].values y = dataset.iloc[:, 4].values

Data Science

Answered Nov 5, 2019 · 1.8K Views Read answer →

A user built a decision tree in R with tree package using the below code

Classification tree: tree(formula = High temperature ~ ., data = summer.train) Variables actually used in tree construction: [1] "Humidity" "Cloudy" "Airy" "Dry" "Windy" Number of terminal nodes: 12 Residual mean deviance: 0.3874 = 377.7 / 975 Misclassification error rate

Data Science

Answered Nov 5, 2019 · 1.4K Views Read answer →

A user is loading the following code but receives an error. How to fix that?

from sklearn.datasets import load_iris from sklearn import tree X, y = load_iris(return_X_y=True) clf = tree.DecisionTreeClassifier() clf = clf.fit(X, y) The error is given below NameError Traceback (most recent call last) in ----> 1 tree.plot_tree(clf.fit(iris.data, iris.target))NameError: name 'iris' is not defined…

Data Science

Answered Nov 4, 2019 · 1.4K Views Read answer →