Public
This directory contains 6 workflows.
01_Example_for_Learning_a_Decision_Tree
After the data is partitioned into train and test set, a decision tree model is trained and applied.
02_Apply_Association_Rules_for_MarketBasketAnalysis
Market Basket Analysis: Apply Association Rules This workflow takes pre-built association rules and applies them to a new set of data 1. Read […]
02_Example_for_Learning_a_Neural_Network
After the data is normalized and partitioned, Multi-Layer-Perzeptron (MLP) is trained and applied.
02_kMeans
This workflow performs clustering of the iris dataset using k-Means. Two workflows: one to build the k-Means prototypes (top) and one to apply them to new […]
03_H2O_GLM_Regression_Model
This example shows how to build an H2O GLM model for regression, predict new data and score the regression metrics for model evaluation. 1. Prepare: Load […]
Análisis FIFA
SELECCIÓN DE MODELO DE CLASIFICACIÓN