Filter interviews by
I applied via Referral and was interviewed before Mar 2023. There were 3 interview rounds.
The Gini coefficient is used in Random Forest to measure the impurity of a node.
Gini coefficient is a measure of impurity in a node of a decision tree in Random Forest.
It ranges from 0 (pure node) to 0.5 (impure node).
Random Forest uses Gini coefficient to decide how to split nodes during the tree building process.
Top trending discussions
I applied via Naukri.com and was interviewed before Jul 2023. There was 1 interview round.
Confusion matrix is a table used to evaluate the performance of a classification model.
It is a matrix with rows representing the actual classes and columns representing the predicted classes.
It helps in visualizing the performance of a classification model by showing the counts of true positive, true negative, false positive, and false negative predictions.
It is commonly used in machine learning to assess the accuracy ...
r2 and adjusted r2 are metrics used to evaluate the goodness of fit of a regression model.
r2 (R-squared) measures the proportion of the variance in the dependent variable that is predictable from the independent variables.
Adjusted r2 is a modified version of r2 that adjusts for the number of predictors in the model, providing a more accurate assessment of the model's goodness of fit.
r2 always increases when adding more...
I applied via Referral and was interviewed before Feb 2023. There was 1 interview round.
I applied via Company Website and was interviewed in May 2024. There were 3 interview rounds.
Sample data for market clustering was provided.
Encoder-decoder models are popular in sequence-to-sequence tasks, with advantages like flexibility and disadvantages like potential information loss.
Advantages: flexibility in handling variable length inputs/outputs, ability to learn complex patterns, widely used in machine translation tasks (e.g. Google Translate)
Disadvantages: potential information loss during encoding/decoding process, difficulty in capturing long-r
I applied via Naukri.com and was interviewed before Jul 2023. There was 1 interview round.
Confusion matrix is a table used to evaluate the performance of a classification model.
It is a matrix with rows representing the actual classes and columns representing the predicted classes.
It helps in visualizing the performance of a classification model by showing the counts of true positive, true negative, false positive, and false negative predictions.
It is commonly used in machine learning to assess the accuracy ...
r2 and adjusted r2 are metrics used to evaluate the goodness of fit of a regression model.
r2 (R-squared) measures the proportion of the variance in the dependent variable that is predictable from the independent variables.
Adjusted r2 is a modified version of r2 that adjusts for the number of predictors in the model, providing a more accurate assessment of the model's goodness of fit.
r2 always increases when adding more...
I applied via Referral and was interviewed before Feb 2023. There was 1 interview round.
based on 5 reviews
Rating in categories
Thane,
Navi Mumbai
+19-14 Yrs
Not Disclosed
Senior Analyst
158
salaries
| ₹7 L/yr - ₹23 L/yr |
Consultant
156
salaries
| ₹12.2 L/yr - ₹32 L/yr |
Teritory Sales Officer
114
salaries
| ₹4.5 L/yr - ₹8.6 L/yr |
Analyst
109
salaries
| ₹4.8 L/yr - ₹13.5 L/yr |
Senior Executive
99
salaries
| ₹4.3 L/yr - ₹12.5 L/yr |
Kellogg
Nestle
Britannia
ITC