OpenML
Containing all datasets, tasks, flows and runs used in the ASLib OpenML Scenario.
442 datasets, 441 tasks, 63 flows, 0 runs
No data.
0 datasets, 0 tasks, 0 flows, 0 runs
This is just to test the new ctree implementation on various problems to check if there is anything where it fails.
0 datasets, 0 tasks, 6 flows, 1458 runs
Authors: Salisu Mamman Abdulrahman, Pavel Brazdil, Jan N. van Rijn, Joaquin Vanschoren Abstract: Algorithm selection methods can be speeded-up substantially by incorporating multi-objective measures…
39 datasets, 39 tasks, 53 flows, 9627 runs
No data.
0 datasets, 0 tasks, 0 flows, 0 runs
All datasets, tasks, flows and setups used for Chapter 6 in the PhD Thesis "Massively Collaborative Machine Learning"
105 datasets, 105 tasks, 27 flows, 0 runs
this study joins multiple data stream studies
0 datasets, 0 tasks, 0 flows, 0 runs
Iris dataset
0 datasets, 0 tasks, 0 flows, 0 runs
Compare several trees, bagged trees and the random forest.
6 datasets, 6 tasks, 6 flows, 36 runs
See if it's cool.
0 datasets, 0 tasks, 0 flows, 0 runs
Based on three different tasks we want to compare three versions of ksvm - C-svc C classification - spoc-svc Crammer, Singer native multi-class - kbb-svc Weston, Watkins native multi-class
0 datasets, 0 tasks, 2 flows, 19 runs
none
2 datasets, 1 tasks, 2 flows, 15 runs
Paper on OpenML R library. Includes a case study on bagging vs forests
0 datasets, 0 tasks, 0 flows, 80 runs
Study
0 datasets, 0 tasks, 0 flows, 0 runs
An increase in undergraduate registered students in universities largely grown last years. However, the number of graduates remains low. The main cause of this issue is the evasion and / or retention…
0 datasets, 0 tasks, 0 flows, 0 runs
Data mining researchers and practitioners often use general rules of thumb or common data mining wisdom, those are so called data-mining myths. Even though, these myths are not always proven or…
394 datasets, 394 tasks, 25 flows, 11780 runs
a test study. has no value!
0 datasets, 0 tasks, 0 flows, 0 runs
numerai
0 datasets, 0 tasks, 0 flows, 0 runs
A subgroup discovery study.
0 datasets, 3600 tasks, 4 flows, 0 runs
Almost every form of statistical and machine learning method has been applied to learning QSARs at one time or another: linear regression, decision trees, neural networks, nearest-neighbour methods,…
16941 datasets, 0 tasks, 0 flows, 24034 runs
The work will be submitted to ECML-PKDD2016
0 datasets, 0 tasks, 0 flows, 0 runs
Ensembles of classifiers are among the best performing classifiers available in many data mining applications. However, most ensembles developed specifically for the dynamic data stream setting rely…
0 datasets, 62 tasks, 13 flows, 805 runs
Example of collaborative research conducted by means of OpenML NB:
2 datasets, 0 tasks, 0 flows, 0 runs
how should I proceed? [![run at everware](https://img.shields.io/badge/run…
0 datasets, 0 tasks, 0 flows, 0 runs
No data.
0 datasets, 0 tasks, 0 flows, 0 runs
In this study, we investigate and summarize the performance of a wide range of ML algorithms (using its default hyper-parameter values) on a wide range of OpenML classifications tasks. This will yield…
414 datasets, 425 tasks, 104 flows, 17652 runs
To see what a study can do
0 datasets, 0 tasks, 0 flows, 0 runs
This study compares the local and global feature selection strategy on multilabel classification transformation methods
0 datasets, 0 tasks, 0 flows, 0 runs
The task of Quantitative Structure Activity Relationship (QSAR) Learning is to learn a function that, given the structure of a small molecule (a potential drug), outputs the predicted activity of the…
1086 datasets, 1081 tasks, 1 flows, 0 runs
One of the challenges in Machine Learning to find a classifier and parameter settings that work well on a given dataset. Evaluating all possible combinations typically takes too much time, hence many…
0 datasets, 39 tasks, 53 flows, 9627 runs
We investigate the performance of a wide range of classification algorithms on a wide range of datasets to better understand when they perform well and when they don't. This will yield a meta-dataset…
512 datasets, 514 tasks, 63 flows, 91425 runs