Top 11 Libraries for Model Comparison Using Eli5

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by gayathrimohan dot icon Updated: Mar 18, 2024

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Model comparison involves analyzing and comparing the performance and behavior of ML models.  

ELI5 is a Python library. It is designed to provide explanations for ML models in a human-readable format. It helps users understand how models make predictions. It is done by visualizing feature importances, model coefficients, and other relevant information. 

In the context of model comparison, ELI5 can be used to: 

  • Visualize feature importance 
  • Explain individual predictions 
  • Compare models 
  • Debug models 
  • Interpret black-box models 

tensorflow:

  • It is an open-source deep learning framework developed by Google. 
  • It is used for constructing and schooling neural networks. 
  • With TensorFlow, you can train complex models tailored to your specific problem domain. 

tensorflowby tensorflow

C++ doticonstar image 175562 doticonVersion:v2.13.0-rc1doticon
License: Permissive (Apache-2.0)

An Open Source Machine Learning Framework for Everyone

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            tensorflowby tensorflow

            C++ doticon star image 175562 doticonVersion:v2.13.0-rc1doticon License: Permissive (Apache-2.0)

            An Open Source Machine Learning Framework for Everyone
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                      pytorch:

                      • It is a deep learning framework developed by Facebook's AI Research lab. 
                      • It is thought for its dynamic computation graph and simplicity of use. 
                      • It allows users to analyze and compare model predictions using Eli5's explanation tools. 

                      pytorchby pytorch

                      Python doticonstar image 67874 doticonVersion:v2.0.1doticon
                      License: Others (Non-SPDX)

                      Tensors and Dynamic neural networks in Python with strong GPU acceleration

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                                pytorchby pytorch

                                Python doticon star image 67874 doticonVersion:v2.0.1doticon License: Others (Non-SPDX)

                                Tensors and Dynamic neural networks in Python with strong GPU acceleration
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                                          keras:

                                          • It is a high-stage neural networks API that runs on the pinnacle of TensorFlow. 
                                          • It affords an interface for constructing neural networks. 
                                          • It integrates with TensorFlow, one of the greatest famous deep getting-to-know frameworks. 

                                          kerasby keras-team

                                          Python doticonstar image 58594 doticonVersion:v2.13.1-rc0doticon
                                          License: Permissive (Apache-2.0)

                                          Deep Learning for humans

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                                                    kerasby keras-team

                                                    Python doticon star image 58594 doticonVersion:v2.13.1-rc0doticon License: Permissive (Apache-2.0)

                                                    Deep Learning for humans
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                                                              scikit-learn:

                                                              • It is a comprehensive library for machine learning in Python. 
                                                              • It provides implementations for various algorithms and tools for model evaluation. 
                                                              • It enables users to analyze and compare the predictions of these models. 

                                                              scikit-learnby scikit-learn

                                                              Python doticonstar image 54584 doticonVersion:1.2.2doticon
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                                                              scikit-learn: machine learning in Python

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                                                                        scikit-learnby scikit-learn

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                                                                        scikit-learn: machine learning in Python
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                                                                                  xgboost:

                                                                                  • It is a good and scalable gradient-boosting library. 
                                                                                  • It is used for classification and regression tasks. 
                                                                                  • scikit-learn provides a consistent API. 

                                                                                  xgboostby dmlc

                                                                                  C++ doticonstar image 24228 doticonVersion:v1.7.5doticon
                                                                                  License: Permissive (Apache-2.0)

                                                                                  Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

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                                                                                            xgboostby dmlc

                                                                                            C++ doticon star image 24228 doticonVersion:v1.7.5doticon License: Permissive (Apache-2.0)

                                                                                            Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
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                                                                                                      LightGBM:

                                                                                                      • LightGBM is a gradient-boosting framework advanced with the aid of Microsoft. 
                                                                                                      • It is a gradient-boosting framework known for its speed and efficiency. 
                                                                                                      • It allows users to analyze and compare their predictions using various explanation techniques.

                                                                                                      LightGBMby microsoft

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                                                                                                      A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

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                                                                                                                LightGBMby microsoft

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                                                                                                                A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
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                                                                                                                          lime:

                                                                                                                          • It is a powerful tool for model interpretation and comparison. 
                                                                                                                          • It facilitates model comparison by providing interpretable insights into predictions. 
                                                                                                                          • It provides human-interpretable explanations for model predictions. 

                                                                                                                          limeby marcotcr

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                                                                                                                          Lime: Explaining the predictions of any machine learning classifier

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                                                                                                                                    limeby marcotcr

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                                                                                                                                    Lime: Explaining the predictions of any machine learning classifier
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                                                                                                                                              tpot:

                                                                                                                                              • It is an automatic ML device that optimizes ML pipelines. It is done through genetic programming. 
                                                                                                                                              • TPOT often incorporates ensemble methods, such as stacking or blending. 
                                                                                                                                              • It uses cross-validation to estimate the performance of each pipeline. 

                                                                                                                                              tpotby EpistasisLab

                                                                                                                                              Python doticonstar image 9085 doticonVersion:v0.11.7doticon
                                                                                                                                              License: Weak Copyleft (LGPL-3.0)

                                                                                                                                              A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

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                                                                                                                                                        tpotby EpistasisLab

                                                                                                                                                        Python doticon star image 9085 doticonVersion:v0.11.7doticon License: Weak Copyleft (LGPL-3.0)

                                                                                                                                                        A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
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                                                                                                                                                                  yellowbrick:

                                                                                                                                                                  • It is a Python library that provides visual diagnostic tools for machine learning. 
                                                                                                                                                                  • Yellowbrick provides tools for visualizing model comparison. 
                                                                                                                                                                  • It includes tools for model selection, such as validation curves and learning curves. 

                                                                                                                                                                  yellowbrickby DistrictDataLabs

                                                                                                                                                                  Python doticonstar image 4016 doticonVersion:v1.5doticon
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                                                                                                                                                                  Visual analysis and diagnostic tools to facilitate machine learning model selection.

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                                                                                                                                                                            yellowbrickby DistrictDataLabs

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                                                                                                                                                                            Visual analysis and diagnostic tools to facilitate machine learning model selection.
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                                                                                                                                                                                      scikit-plot:

                                                                                                                                                                                      • It offers a variety of plotting functions for visualizing model evaluation metrics. 
                                                                                                                                                                                      • It is integrated with scikit-learn, which is a popular machine-learning library. 
                                                                                                                                                                                      • It includes functions for comparing many models' performance metrics side by side. 

                                                                                                                                                                                      scikit-plotby reiinakano

                                                                                                                                                                                      Python doticonstar image 2290 doticonVersion:v0.3.7doticon
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                                                                                                                                                                                      An intuitive library to add plotting functionality to scikit-learn objects.

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                                                                                                                                                                                                scikit-plotby reiinakano

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                                                                                                                                                                                                An intuitive library to add plotting functionality to scikit-learn objects.
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                                                                                                                                                                                                          auto-sklearn:

                                                                                                                                                                                                          • It is an AutoML tool that can be beneficial in model comparison tasks. 
                                                                                                                                                                                                          • It considers a wide range of ML models, preprocessing techniques, and hyperparameter configurations. 
                                                                                                                                                                                                          • It allows users to analyze and compare the explanations of different models generated. 

                                                                                                                                                                                                          auto-sklearnby automl

                                                                                                                                                                                                          Python doticonstar image 6984 doticonVersion:v0.15.0doticon
                                                                                                                                                                                                          License: Permissive (BSD-3-Clause)

                                                                                                                                                                                                          Automated Machine Learning with scikit-learn

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                                                                                                                                                                                                                    auto-sklearnby automl

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                                                                                                                                                                                                                    Automated Machine Learning with scikit-learn
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                                                                                                                                                                                                                              FAQ

                                                                                                                                                                                                                              1. What is Eli5? 

                                                                                                                                                                                                                              Eli5 is a Python library that provides tools for explaining machine learning models. It helps users understand the inner workings of models. It includes feature importance, prediction explanations, and model comparisons. 


                                                                                                                                                                                                                              2. How can Eli5 help in comparing machine learning models? 

                                                                                                                                                                                                                              Eli5 offers various tools to compare machine learning models. Those models feature important analysis, permutation importance, and visualization of model predictions. These tools enable users to assess the strengths and weaknesses of different models. It is also used to make informed decisions. 


                                                                                                                                                                                                                              3. How does Eli5 calculate feature importance? 

                                                                                                                                                                                                                              Eli5 calculates feature importance using techniques like permutation importance. It measures the change in model performance when the values of a feature are shuffled. Features causing a significant drop in performance when shuffled are considered more important. 


                                                                                                                                                                                                                              4. Can Eli5 be used with any machine learning framework? 

                                                                                                                                                                                                                              Yes, Eli5 is compatible with various machine-learning frameworks in Python. It includes scikit-learn, XGBoost, LightGBM, and more. It provides a consistent interface. It is used for model explanation regardless of the underlying framework used. 


                                                                                                                                                                                                                              5. Does Eli5 support only traditional machine learning models, or can it be used with deep learning models as well? 

                                                                                                                                                                                                                              While Eli5 is focused on traditional ML models, it can also be used with deep learning models. But the interpretability of deep learning models is more challenging. Eli5's capabilities may be limited compared to traditional models.