**48**
results

**48**
results

Logistic regression

Classification
Education
Machine Learning
Parameter optimization
Random Forest
+3

- Go to itemThis workflow is an example of how to build a basic prediction / classification model using logistic regression.knime > Examples > 04_Analytics > 04_Classification_and_Predictive_Modelling > 06_Logistic_Regression2
- Go to itemThis workflow shows an overview of credit card fraud detection techniques. The performances of the techniques are evaluated on th…knime > Finance, Accounting, and Audit > Overview of Credit Card Fraud Detection Techniques1
- Go to itemWorkflow
###### Assessing Effects of Single Predictors with Delta-p

This workflow calculates the Delta-p statistics based on the coefficient statistics of a logistic regression model. The Delta-p s…knime > Examples > 04_Analytics > 10_Scoring > 06_Assessing_Effects_of_Single_Predictors_with_Delta-p1 - Go to itemWorkflow
###### Applying Optimized Threshold from Binary Calssification Inspector

This workflow is made to show how to apply the threshold computed by the Binary Classification Inspector for new data. the thresh…paolotamag > Public > Applying_Optimized_Threshold_from_Binary_Calssification_Inspector1 - Go to itemE-learning course exercise. Train a logistic regression model.mavalenciaor > Public > L1-DS KNIME Analytics Platform for Data Scientists - Basics > Exercises > 17_Logistic_Regression0
- Go to itemE-learning course exercise. Train a logistic regression model.stervis > Public > E-Learning > L1-DS KNIME Analytics Platform for Data Scientists - Basics > Exercises > 17_Logistic_Regression0
- Go to itemWorkflow
###### Applying Optimized Threshold from Binary Calssification Inspector

This workflow is made to show how to apply the threshold computed by the Binary Classification Inspector for new data. the thresh…svbaranov > Public > Applying_Optimized_Threshold_from_Binary_Calssification_Inspector0 - Go to itemWorkflow
###### Feature Selection - Solution

Introduction to Machine Learning Algorithms course - Session 4 Solution to exercise 5 - Combine previously splitted training and …hayasaka > L4-ML-2Hrs-2021-07 > Solutions > 08_Feature_Selection_solution0 - Go to itemThis workflow reads in the creditcard.csv file and trains and evaluates a Logistic Regression and a Random Forest model to classi…knime > Education > Learnathons > Fraud_Detection_Tutorial > Solutions > 01_Fraud_Detection_by_Supervised_Learning0
- Go to itemWorkflow
###### Group 2 Training, Evaluation and Optimization

Solution to the tasks for Group 2 in KNIME Data Science Learnathon - Train a Decision Tree on the training set, and apply the mod…knime > Education > Learnathons > From_Raw_Data_To_Deployment > Learnathon-Solutions > Group2_Training_Evaluation_and_Optimization > Group2_1_Training_Evaluation_and_Optimization0 - Go to itemThe goal of this workflow is to analyze the impact of different priors in case of the logistic regression. The workflow therefore…atomnous > Public > 04_Classification_and_Predictive_Modelling > 08_Regularized_Logistic_Regression0
- Go to itemIntroduction to Machine Learning Algorithms course - Session 2 Exercise 4 - Train a logistic regression model - Apply the model t…hayasaka > L4-ML-2Hrs-2021-07 > Exercises > 04_Logistic_Regression0
- Go to itemThis workflow is an example of how to build a basic prediction / classification model using logistic regression.atomnous > Public > 04_Classification_and_Predictive_Modelling > 06_Logistic_Regression0
- Go to itemThis workflow is builds a classification model using logistic regression in SPARK.knime > Examples > 10_Big_Data > 02_Spark_Executor > 15_Logistic_Regression_with_Spark0
- Go to itemWorkflow
###### Parameter Optimization Loop with Cross Validation

This workflow shows an example of parameter optimization in a logistic regression model. In the logistic regression we optimize s…k10shetty1 > Parameter Optimization for Classification > 01_Parameter_Optimization_with_Nodes > 03_Parameter_Optimization_Loop_on_Logit_with_CV0 - Go to itemLogistic Regression: predict wine color. - Normalize numerical columns - Partition the dataset into train and test set - Train a …knime > Academic Alliance > Guide to Intelligent Data Science > Exercises > Chapter8_Regression > Logistic_Regression_Exercise0
- Go to itemWorkflow
###### Weak Supervision on the Adult dataset

This workflow shows how to use the Weak Label Model Learner and Predictor nodes to aggregate sources of weak supervision such as …knime > Examples > 04_Analytics > 13_Meta_Learning > 05_Weak_Supervision_on_the_Adult_dataset0 - Go to itemSolution to an e-learning course exercise. Train a logistic regression model.a2620 > Public > L1-DS KNIME Analytics Platform for Data Scientists - Basics > Solutions > 17_Logistic_Regression - Solution0
- Go to itemSolution to an e-learning course exercise. Train a logistic regression model.stervis > Public > E-Learning > L1-DS KNIME Analytics Platform for Data Scientists - Basics > Solutions > 17_Logistic_Regression - Solution0
- Go to itemIntroduction to Machine Learning Algorithms course - Session 2 Solution to exercise 4 - Train a logistic regression model - Apply…hayasaka > L4-ML-2Hrs-2021-07 > Solutions > 04_Logistic_Regression_solution0

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