Topics: evaluation, t-test, cost-sensitive measures, occam’s razor, k-statistic, lift charts, ROC curves, recall-precision curves, loss function, counting the cost, weka Lecture 8: Machine Learning in Practice (1) from Marina Santini
Tag: weka
Lecture 2: Understanding and Preprocessing Data (ML4LT 2015)
Lecture 2: Understanding and Preprocessing Data Basic Statistics & Graphs. Lecture 2: Preliminaries (Understanding and Preprocessing data) from Marina Santini
Lecture 7: Learning from Massive Datasets
Lecture 7: Learning from Massive Datasets from Marina Santini In this lecture we explore how big datasets can be used with the Weka workbench and what other issues are currently under discussion in the real world, for ex: big data…
Lecture 04: The Weka Package
The Weka workbench is a collection of state-of-the-art machine learning algorithms and data preprocessing tools. This presentation shows some basic features.