37 results
prabhatest
0 datasets, 0 tasks, 0 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, 1 flows, 833 runs
TODO
0 datasets, 39 tasks, 53 flows, 9627 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
Study
0 datasets, 0 tasks, 0 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
Compare several trees, bagged trees and the random forest
6 datasets, 6 tasks, 12 flows, 72 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
Compare random forest with bagged trees
0 datasets, 0 tasks, 5 flows, 36 runs
none
1 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
asdf
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, 3907 tasks, 4 flows, 0 runs
Ensembles of classifiers are among the best performing classifiers available in many data mining applications. Rather than training one classifier, multiple classifiers are trained, and their…
60 datasets, 60 tasks, 6 flows, 389 runs
Feature selection can be of value to classification for a variety of reasons. Real world data sets can be rife with irrelevant features, especially if the data was not gather specifically for the…
394 datasets, 394 tasks, 24 flows, 9454 runs
Benchmarking in Machine Learning is often much more difficult than it seems, and hard to reproduce. This study is a new approach to do a collaborative, in-depth benchmarking of algorithms, and allows…
100 datasets, 100 tasks, 364 flows, 563 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, 27690 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
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…
413 datasets, 425 tasks, 104 flows, 17663 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
test
1 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, 1087 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, 10474 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…
514 datasets, 518 tasks, 63 flows, 105426 runs