Topic: "hastie"
coxy1989/isl
Solutions to the labs and exercises in ISL.
Language: Jupyter Notebook - Size: 40.8 MB - Last synced at: 8 months ago - Pushed at: over 6 years ago - Stars: 9 - Forks: 8
soong-lee/ESL_Derivations
Derivations of equations in Elements of Statistical Learning
Size: 261 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
ablanco1950/HASTIE_NAIVEBAYES
HASTIE_NAIVEBAYES: from the Hastie_10_2.csv file obtained by the procedure described in https://scikit-learn.org/stable/modules/generated/sklearn.datasets.make_hastie_10_2.html, obtains a success rate in the training of 88% and 84% in the test. The main difference is that in the statistical process, each field is sampled differently according to its contribution to the hit rate.
Language: Java - Size: 1010 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
ablanco1950/HASTIE_Corrected_HitRate_vs_Sensitivity
Taking into account that the accuracy of statistical results depend on the accuracy of the input data, not only on the algorithm, a Hastie file has been created in which all the records have the correct class assigned and tests of hit rates and sensitivity have been carried out
Language: Python - Size: 1.83 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
ablanco1950/SKLEARN_HitRate_vs_Sensitivity
Using the Sklearn classifiers: Naive Bayes, Random Forest, Adaboost, Gradient Boost, Logistic Regression and Decision Tree good success rates are observed in a very simple manner. In this work sensitivity is also considered. Treating each record individually, differences are found in the results for each record depending on the model used, which is hidden in treatments that compute a total volume of data
Language: Python - Size: 1.15 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
ablanco1950/HASTIE_Corrected_DecisionTree
Using the decision tree technique based on entropy calculation, this application calculates the hit rate of the HASTIE file with a hit rate higher than 99%
Language: Python - Size: 1.87 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
AhmedaCheick/Statistical_Learning_Python
Introduction to Statistical Learning by Hastie, Tibshirani James, and Witten chapters' summary and lab solutions using Python3.
Language: Jupyter Notebook - Size: 28.6 MB - Last synced at: about 1 year ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0
