sklearn Boston Dataset-based System Evaluation Task
(Redirected from sklearn Boston dataset-based system evaluation)
Jump to navigation
Jump to search
A sklearn Boston Dataset-based System Evaluation Task is a supervised numeric-value prediction system evaluation task (for supervised numeric-value prediction systems) based on sklearn's Boston dataset.
- Context:
- It can be an sklearn Boston Dataset-based Regression Trees Evaluation.
- It can be an sklearn Boston Dataset-based SVM Regression Evaluation.
- It can be an sklearn Boston Dataset-based Neural Networks Regression Evaluation.
- Example(s):
- 10-fold RMSE on the data, source code:
- ~
4.65
forsklearn.ensemble.GradientBoostingRegressor
Gradient Boosting Regressor. - ~
4.67
forsklearn.ensemble.BaggingRegressor
, a Bagging regressor. - ~
4.82
forsklearn.ensemble.ExtraTreesRegressor
, an Ensemble Extra Trees Regressor. - ~
4.88
forsklearn.ensemble.RandomForestRegressor
, a Random Forest Regressor. - ~
5.05
forsklearn.ensemble.AdaBoostRegressor
, an AdaBoost regressor. - ~
5.58
forsklearn.linear_model.ElasticNet()
, an ElasticNet regression system. - ~
5.74
forsklearn.linear model.Lasso
[1], a LASSO regression system. - ~
5.84
forsklearn.linear_model.Ridge()
, a Ridge regression system. - ~
5.85
forsklearn.linear_model.BayesianRidge()
, a Bayesian Ridge regression system. - ~
5.88
forsklearn.linear_model.LinearRegression()
, a Linear regression system. - ~
5.91
forsklearn.linear_model.ARDRegression()
, a ARD regression system. - ~
6.00
forsklearn.tree.DecisionTreeRegressor
, a simple Regression Tree Learning System. - ~
6.29
forsklearn.linear_model.Lars()
, a Least Angle regression system. - ~
6.49
forsklearn.linear_model.HuberRegressor()
, a Huber regression system. - ~
6.79
forsklearn.neural_network.MLPRegressor(activation='relu', solver='lbfgs')
. - ~
8.59
forsklearn.svm.LinearSVR
.
- ~
- …
- 10-fold RMSE on the data, source code:
- Counter-Example(s):
sklearn.linear_model.LinearRegression()
[2]], a Linear Regression System.sklearn.linear_model.Ridge()
[3], a Ridge Regression System.sklearn.linear_model.ARDRegression()
, a ARD Regression System.sklearn.linear_model.BayesianRidge()
, a Bayesian Ridge Regression System.sklearn.linear_model.ElasticNet()
, an ElasticNet_System.sklearn.linear_model.ElasticNetCV()
, an ElasticNet Cross-Validation System.sklearn.linear_model.HuberRegressor()
, a Huber Regression System.sklearn.linear_model.Lars()
, a Least Angle Regression System.sklearn.linear_model.LarsCV()
, a Least Angle Regression Cross-Validation System.
- See: sklearn.linear model, scikit-learn, Python, Scipy Numpy, TensorFlow, Pytorch.