>>> train_test_split(y, shuffle=False)
[[0, 1, 2], [3, 4]]
Recognizing hand-written digits
Principal Component Regression vs Partial Least Squares Regression
Principal Component Regression vs Partial Least Squares Regression
Post pruning decision trees with cost complexity pruning
Post pruning decision trees with cost complexity pruning
Understanding the decision tree structure
Understanding the decision tree structure
Kernel PCA
Kernel PCA
Comparing random forests and the multi-output meta estimator
Comparing random forests and the multi-output meta estimator
Early stopping in Gradient Boosting
Early stopping in Gradient Boosting
Feature importances with a forest of trees
Feature importances with a forest of trees
Feature transformations with ensembles of trees
Feature transformations with ensembles of trees
Features in Histogram Gradient Boosting Trees
Features in Histogram Gradient Boosting Trees
Gradient Boosting Out-of-Bag estimates
Gradient Boosting Out-of-Bag estimates
Gradient Boosting regression
Gradient Boosting regression
Gradient Boosting regularization
Gradient Boosting regularization
IsolationForest example
IsolationForest example
Multi-class AdaBoosted Decision Trees
Multi-class AdaBoosted Decision Trees
Prediction Intervals for Gradient Boosting Regression
Prediction Intervals for Gradient Boosting Regression
Faces recognition example using eigenfaces and SVMs
Faces recognition example using eigenfaces and SVMs
Image denoising using kernel PCA
Image denoising using kernel PCA
Lagged features for time series forecasting
Lagged features for time series forecasting
Model Complexity Influence
Model Complexity Influence
Prediction Latency
Prediction Latency
Pipeline ANOVA SVM
Pipeline ANOVA SVM
Univariate Feature Selection
Univariate Feature Selection
Comparing various online solvers
Comparing various online solvers
Early stopping of Stochastic Gradient Descent
Early stopping of Stochastic Gradient Descent
L1-based models for Sparse Signals
L1-based models for Sparse Signals
MNIST classification using multinomial logistic + L1
MNIST classification using multinomial logistic + L1
Multiclass sparse logistic regression on 20newgroups
Multiclass sparse logistic regression on 20newgroups
Non-negative least squares
Non-negative least squares
Poisson regression and non-normal loss
Poisson regression and non-normal loss
Tweedie regression on insurance claims
Tweedie regression on insurance claims
Common pitfalls in the interpretation of coefficients of linear models
Common pitfalls in the interpretation of coefficients of linear models
Failure of Machine Learning to infer causal effects
Failure of Machine Learning to infer causal effects
Permutation Importance vs Random Forest Feature Importance (MDI)
Permutation Importance vs Random Forest Feature Importance (MDI)
Permutation Importance with Multicollinear or Correlated Features
Permutation Importance with Multicollinear or Correlated Features
Scalable learning with polynomial kernel approximation
Scalable learning with polynomial kernel approximation
Evaluation of outlier detection estimators
Evaluation of outlier detection estimators
Introducing the set_output API
Introducing the set_output API
ROC Curve with Visualization API
ROC Curve with Visualization API
Visualizations with Display Objects
Visualizations with Display Objects
Class Likelihood Ratios to measure classification performance
Class Likelihood Ratios to measure classification performance
Confusion matrix
Confusion matrix
Custom refit strategy of a grid search with cross-validation
Custom refit strategy of a grid search with cross-validation
Detection error tradeoff (DET) curve
Detection error tradeoff (DET) curve
Multiclass Receiver Operating Characteristic (ROC)
Multiclass Receiver Operating Characteristic (ROC)
Post-tuning the decision threshold for cost-sensitive learning
Post-tuning the decision threshold for cost-sensitive learning
Precision-Recall
Precision-Recall
Train error vs Test error
Train error vs Test error
Multilabel classification using a classifier chain
Multilabel classification using a classifier chain
Comparing Nearest Neighbors with and without Neighborhood Components Analysis
Comparing Nearest Neighbors with and without Neighborhood Components Analysis
Dimensionality Reduction with Neighborhood Components Analysis
Dimensionality Reduction with Neighborhood Components Analysis
Nearest Neighbors Classification
Nearest Neighbors Classification
Restricted Boltzmann Machine features for digit classification
Restricted Boltzmann Machine features for digit classification
Varying regularization in Multi-layer Perceptron
Varying regularization in Multi-layer Perceptron
Visualization of MLP weights on MNIST
Visualization of MLP weights on MNIST
Column Transformer with Mixed Types
Column Transformer with Mixed Types
Effect of transforming the targets in regression model
Effect of transforming the targets in regression model
Feature discretization
Feature discretization
Importance of Feature Scaling
Importance of Feature Scaling
Map data to a normal distribution
Map data to a normal distribution
Target Encoder’s Internal Cross fitting
Target Encoder's Internal Cross fitting
Semi-supervised Classification on a Text Dataset
Semi-supervised Classification on a Text Dataset
