Related Articles
Random Forest Regression
Random Forest Regression Description Random Forest Regression is an ensemble learning method that combines multiple decision trees to create a powerful predictive model for continuous target variables. It utilizes random feature selection to improve ...
Isolation Forest
Isolation Forest Description Isolation Forest is an unsupervised algorithm used for anomaly detection that isolates the anomalies rather than building a model of normal instances. Why to use Isolation forest detects anomalies faster and requires less ...
Rubiscape Autumn '20
New Features Platform & Studio Dataset: S3 dataset – Ability to create, edit, delete S3 dataset SAP HANA – Ability to create, edit, delete HANA dataset Algorithms added: Factor Analysis PCA MLP Neural Network Regression Ridge Regression Lasso ...
Rubiscape Winter '19
New Features Platform & Studio New dataset creation feature for Twitter, PostgresSQL, SQL, MySQL, Oracle, Excel, CSV, Google News. Create dataset from a local TXT file using delimiter option. Supported delimiters are Semicolon, Pipe, Comma, Tab, ...
Statistical Concepts
Accuracy Accuracy (of classification) of a predictive model is the ratio of the total number of correct predictions made by the model to the total predictions made. Thus, Accuracy = (TP + TN) / (TP + TN + FP + FN) Where, TP, TN, FP, and FN indicate ...