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water_2 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#water) - Number of nodes: 32 - Number of arcs: 66 - Number of parameters: 10083 - Average…
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5000 instances - 32 features - classes - 0 missing values
insurance_8 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#insurance) - Number of nodes: 27 - Number of arcs: 52 - Number of parameters: 1008 -…
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5000 instances - 27 features - classes - 0 missing values
insurance_9 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#insurance) - Number of nodes: 27 - Number of arcs: 52 - Number of parameters: 1008 -…
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5000 instances - 27 features - classes - 0 missing values
insurance_10 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#insurance) - Number of nodes: 27 - Number of arcs: 52 - Number of parameters: 1008 -…
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5000 instances - 27 features - classes - 0 missing values
insurance_5 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#insurance) - Number of nodes: 27 - Number of arcs: 52 - Number of parameters: 1008 -…
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5000 instances - 27 features - classes - 0 missing values
insurance_6 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#insurance) - Number of nodes: 27 - Number of arcs: 52 - Number of parameters: 1008 -…
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5000 instances - 27 features - classes - 0 missing values
insurance_7 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#insurance) - Number of nodes: 27 - Number of arcs: 52 - Number of parameters: 1008 -…
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5000 instances - 27 features - classes - 0 missing values
link_3 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#link) - Number of nodes: 724 - Number of arcs: 1125 - Number of parameters: 14211 -…
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5000 instances - 724 features - classes - 0 missing values
link_4 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#link) - Number of nodes: 724 - Number of arcs: 1125 - Number of parameters: 14211 -…
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5000 instances - 724 features - classes - 0 missing values
link_5 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#link) - Number of nodes: 724 - Number of arcs: 1125 - Number of parameters: 14211 -…
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5000 instances - 724 features - classes - 0 missing values
link_6 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#link) - Number of nodes: 724 - Number of arcs: 1125 - Number of parameters: 14211 -…
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5000 instances - 724 features - classes - 0 missing values
link_7 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#link) - Number of nodes: 724 - Number of arcs: 1125 - Number of parameters: 14211 -…
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5000 instances - 724 features - classes - 0 missing values
link_8 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#link) - Number of nodes: 724 - Number of arcs: 1125 - Number of parameters: 14211 -…
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5000 instances - 724 features - classes - 0 missing values
diabetes_9 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#diabetes) - Number of nodes: 413 - Number of arcs: 602 - Number of parameters: 429409…
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5000 instances - 413 features - classes - 0 missing values
diabetes_10 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#diabetes) - Number of nodes: 413 - Number of arcs: 602 - Number of parameters: 429409…
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5000 instances - 413 features - classes - 0 missing values
link_0 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#link) - Number of nodes: 724 - Number of arcs: 1125 - Number of parameters: 14211 -…
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5000 instances - 724 features - classes - 0 missing values
diabetes_6 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#diabetes) - Number of nodes: 413 - Number of arcs: 602 - Number of parameters: 429409…
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5000 instances - 413 features - classes - 0 missing values
diabetes_7 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#diabetes) - Number of nodes: 413 - Number of arcs: 602 - Number of parameters: 429409…
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5000 instances - 413 features - classes - 0 missing values
diabetes_8 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#diabetes) - Number of nodes: 413 - Number of arcs: 602 - Number of parameters: 429409…
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5000 instances - 413 features - classes - 0 missing values
link_1 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#link) - Number of nodes: 724 - Number of arcs: 1125 - Number of parameters: 14211 -…
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5000 instances - 724 features - classes - 0 missing values
link_2 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#link) - Number of nodes: 724 - Number of arcs: 1125 - Number of parameters: 14211 -…
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5000 instances - 724 features - classes - 0 missing values
diabetes_2 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#diabetes) - Number of nodes: 413 - Number of arcs: 602 - Number of parameters: 429409…
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5000 instances - 413 features - classes - 0 missing values
diabetes_3 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#diabetes) - Number of nodes: 413 - Number of arcs: 602 - Number of parameters: 429409…
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5000 instances - 413 features - classes - 0 missing values
diabetes_5 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#diabetes) - Number of nodes: 413 - Number of arcs: 602 - Number of parameters: 429409…
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5000 instances - 413 features - classes - 0 missing values
diabetes_1 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#diabetes) - Number of nodes: 413 - Number of arcs: 602 - Number of parameters: 429409…
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5000 instances - 413 features - classes - 0 missing values
diabetes_4 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#diabetes) - Number of nodes: 413 - Number of arcs: 602 - Number of parameters: 429409…
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5000 instances - 413 features - classes - 0 missing values
web_questions (2)
This dataset consists of 6,642 question/answer pairs. The questions are supposed to be answerable by Freebase, a large knowledge graph. The questions are mostly centered around a single named entity.…
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5810 instances - 3 features - classes - 0 missing values
Epsilon (1)
Data from the PASCAL Challenge 2008 as available on the LibSVM repository ## Description Preprocessing: The raw data set (epsilon_train) is instance-wisely scaled to unit length and split into two…
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500000 instances - 2001 features - 2 classes - 0 missing values
California-Housing-Classification (1)
Binarized version of the California Housing Dataset This dataset was obtained from Luis Torgo's collection of regression datasets. It was binarized to serve as the original, unprocessed date for the…
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20640 instances - 9 features - 2 classes - 0 missing values
Microsoft (2)
Microsoft Learning to Rank Datasets ## Dataset Descriptions The datasets are machine learning data, in which queries and urls are represented by IDs. The datasets consist of feature vectors extracted…
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1200192 instances - 137 features - 5 classes - 0 missing values
cleaned-Edge-IIoTset (1)
Pre-cleaned version of Edge-IIoTset
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1909671 instances - 49 features - classes - 0 missing values
cleaned-Edge-IIoTset (2)
Pre-cleaned version of Edge-IIoTset
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1909671 instances - 49 features - classes - 0 missing values
Student-Scores (1)
tbd
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56 instances - 13 features - 0 classes - 0 missing values
Weather (24)
The weather problem is a tiny dataset that we will use repeatedly to illustrate machine learning methods. Entirely fictitious, it supposedly concerns the conditions that are suitable for playing some…
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14 instances - 5 features - 2 classes - 0 missing values
Weather (25)
The weather problem is a tiny dataset that we will use repeatedly to illustrate machine learning methods. Entirely fictitious, it supposedly concerns the conditions that are suitable for playing some…
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14 instances - 5 features - 2 classes - 0 missing values
Bank-Churn (1)
tbd
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10000 instances - 14 features - 0 classes - 0 missing values
Weather (22)
The weather problem is a tiny dataset that we will use repeatedly to illustrate machine learning methods. Entirely fictitious, it supposedly concerns the conditions that are suitable for playing some…
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14 instances - 5 features - 2 classes - 0 missing values
appendicitis_test (1)
appendicities from edsa - local computer
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106 instances - 8 features - 0 classes - 0 missing values
kdd_coil_1 (1)
%%%%%%%%%%%%%%%%%%% Data-Description % %%%%%%%%%%%%%%%%%%% COIL 1999 Competition Data Data Type multivariate Abstract This data set is from the 1999 Computational Intelligence and Learning (COIL)…
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316 instances - 12 features - 0 classes - 56 missing values
kdd_coil_2 (1)
%%%%%%%%%%%%%%%%%%% Data-Description % %%%%%%%%%%%%%%%%%%% COIL 1999 Competition Data Data Type multivariate Abstract This data set is from the 1999 Computational Intelligence and Learning (COIL)…
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316 instances - 12 features - 0 classes - 56 missing values
auto93 (1)
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Attributes 2,4, and 6 deleted. Midrange price treated as the class attribute. As used by Kilpatrick, D. & Cameron-Jones, M.…
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93 instances - 23 features - 0 classes - 14 missing values
water-treatment (1)
1. Title: Faults in a urban waste water treatment plant 2. Source Information: -- Creators: Manel Poch (igte2@cc.uab.es) Unitat d'Enginyeria Quimica Universitat Autonoma de Barcelona. Bellaterra.…
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kdd_coil_5 (1)
%%%%%%%%%%%%%%%%%%% Data-Description % %%%%%%%%%%%%%%%%%%% COIL 1999 Competition Data Data Type multivariate Abstract This data set is from the 1999 Computational Intelligence and Learning (COIL)…
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316 instances - 12 features - 0 classes - 56 missing values
kdd_coil_6 (1)
%%%%%%%%%%%%%%%%%%% Data-Description % %%%%%%%%%%%%%%%%%%% COIL 1999 Competition Data Data Type multivariate Abstract This data set is from the 1999 Computational Intelligence and Learning (COIL)…
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316 instances - 12 features - 0 classes - 56 missing values
kdd_el_nino-small (1)
El Nino Data Data Type spatio-temporal Abstract The data set contains oceanographic and surface meteorological readings taken from a series of buoys positioned throughout the equatorial Pacific. The…
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fried (1)
This is an artificial data set used in Friedman (1991) and also described in Breiman (1996,p.139). The cases are generated using the following method: Generate the values of 10 attributes, X1, ...,…
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40768 instances - 11 features - 0 classes - 0 missing values
kdd_coil_3 (1)
%%%%%%%%%%%%%%%%%%% Data-Description % %%%%%%%%%%%%%%%%%%% COIL 1999 Competition Data Data Type multivariate Abstract This data set is from the 1999 Computational Intelligence and Learning (COIL)…
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316 instances - 12 features - 0 classes - 56 missing values
bank8FM (1)
A family of datasets synthetically generated from a simulation of how bank-customers choose their banks. Tasks are based on predicting the fraction of bank customers who leave the bank because of full…
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8192 instances - 9 features - 0 classes - 0 missing values
cpu_act (2)
The Computer Activity databases are a collection of computer systems activity measures. The data was collected from a Sun Sparcstation 20/712 with 128 Mbytes of memory running in a multi-user…
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8192 instances - 22 features - 0 classes - 0 missing values
fri_c0_250_5 (1)
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
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250 instances - 6 features - 0 classes - 0 missing values
schlvote (1)
Dataset from Smoothing Methods in Statistics (ftp stat.cmu.edu/datasets) Simonoff, J.S. (1996). Smoothing Methods in Statistics. New York: Springer-Verlag.
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fri_c4_250_100 (1)
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
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250 instances - 101 features - 0 classes - 0 missing values
fri_c3_500_25 (1)
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
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500 instances - 26 features - 0 classes - 0 missing values
kdd_coil_4 (1)
%%%%%%%%%%%%%%%%%%% Data-Description % %%%%%%%%%%%%%%%%%%% COIL 1999 Competition Data Data Type multivariate Abstract This data set is from the 1999 Computational Intelligence and Learning (COIL)…
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316 instances - 12 features - 0 classes - 56 missing values
fri_c0_100_10 (1)
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
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100 instances - 11 features - 0 classes - 0 missing values
fri_c2_1000_50 (1)
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
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1000 instances - 51 features - 0 classes - 0 missing values
fri_c4_1000_10 (1)
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
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1000 instances - 11 features - 0 classes - 0 missing values
fri_c4_500_100 (1)
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
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500 instances - 101 features - 0 classes - 0 missing values
fri_c3_100_5 (1)
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
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100 instances - 6 features - 0 classes - 0 missing values
fri_c1_1000_5 (1)
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
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1000 instances - 6 features - 0 classes - 0 missing values
fri_c1_100_25 (1)
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
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100 instances - 26 features - 0 classes - 0 missing values
fri_c2_100_50 (1)
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
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100 instances - 51 features - 0 classes - 0 missing values
fri_c4_1000_50 (1)
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
0 runs0 likes2 downloads2 reach13 impact
1000 instances - 51 features - 0 classes - 0 missing values
fri_c3_1000_10 (1)
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
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1000 instances - 11 features - 0 classes - 0 missing values
fri_c0_1000_5 (1)
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
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1000 instances - 6 features - 0 classes - 0 missing values
fri_c4_500_50 (1)
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
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500 instances - 51 features - 0 classes - 0 missing values
fri_c3_500_5 (1)
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
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500 instances - 6 features - 0 classes - 0 missing values
fri_c3_1000_50 (1)
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
0 runs0 likes2 downloads2 reach14 impact
1000 instances - 51 features - 0 classes - 0 missing values
fri_c2_500_50 (1)
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
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500 instances - 51 features - 0 classes - 0 missing values
fri_c2_500_10 (1)
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
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500 instances - 11 features - 0 classes - 0 missing values
fri_c3_1000_5 (1)
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
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1000 instances - 6 features - 0 classes - 0 missing values
fri_c3_250_5 (1)
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
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250 instances - 6 features - 0 classes - 0 missing values
fri_c1_250_25 (1)
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
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250 instances - 26 features - 0 classes - 0 missing values
fri_c4_250_10 (1)
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
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250 instances - 11 features - 0 classes - 0 missing values
fri_c0_100_5 (1)
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
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100 instances - 6 features - 0 classes - 0 missing values
fri_c4_100_25 (1)
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
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100 instances - 26 features - 0 classes - 0 missing values
fri_c4_250_50 (1)
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
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250 instances - 51 features - 0 classes - 0 missing values
fri_c1_1000_25 (1)
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
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1000 instances - 26 features - 0 classes - 0 missing values
ESL (1)
1. Title: Employee Selection (Ordinal ESL) 2. Source Informaion: Donor: Arie Ben David MIS, Dept. of Technology Management Holon Academic Inst. of Technology 52 Golomb St. Holon 58102 Israel…
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488 instances - 5 features - 0 classes - 0 missing values
SWD (1)
1. Title: Social Workers Decisions (Ordinal SWD) 2. Source Informaion: Donor: Arie Ben David MIS, Dept. of Technology Management Holon Academic Inst. of Technology 52 Golomb St. Holon 58102 Israel…
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1000 instances - 11 features - 0 classes - 0 missing values
LEV (1)
1. Title: Lecturers Evaluation (Ordinal LEV) 2. Source Informaion: Donor: Arie Ben David MIS, Dept. of Technology Management Holon Academic Inst. of Technology 52 Golomb St. Holon 58102 Israel…
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1000 instances - 5 features - 0 classes - 0 missing values
SyskillWebert-Goats (1)
This database contains the HTML source of web pages plus the ratings of a single user on these web pages. The web pages are on four separate subjects (Bands- recording artists; Goats; Sheep; and…
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70 instances - 3 features - 3 classes - 0 missing values
lewis (1)
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode). The molecules and outputs are taken…
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7 instances - 1143 features - 0 classes - 0 missing values
thompson (1)
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode). The molecules and outputs are taken…
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8 instances - 1143 features - 0 classes - 0 missing values
yokohoma2 (1)
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode). The molecules and outputs are taken…
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12 instances - 1143 features - 0 classes - 0 missing values
SyskillWebert-Bands (1)
This database contains the HTML source of web pages plus the ratings of a single user on these web pages. The web pages are on four separate subjects (Bands- recording artists; Goats; Sheep; and…
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61 instances - 3 features - 3 classes - 0 missing values
depreux (1)
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode). The molecules and outputs are taken…
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26 instances - 1143 features - 0 classes - 0 missing values
pdgfr (1)
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode). The molecules and outputs are taken…
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79 instances - 321 features - 0 classes - 0 missing values
carbolenes (1)
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode). The molecules and outputs are taken…
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37 instances - 1143 features - 0 classes - 0 missing values
heyl (1)
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode). The molecules and outputs are taken…
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11 instances - 1143 features - 0 classes - 0 missing values
yokohoma1 (1)
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode). The molecules and outputs are taken…
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13 instances - 1143 features - 0 classes - 0 missing values
mtp (1)
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode). The molecules and outputs are taken…
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4450 instances - 203 features - 0 classes - 0 missing values
garrat2 (1)
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode). The molecules and outputs are taken…
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14 instances - 1143 features - 0 classes - 0 missing values
Phen (1)
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode). The molecules and outputs are taken…
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22 instances - 111 features - 0 classes - 0 missing values
siddiqi (1)
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode). The molecules and outputs are taken…
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10 instances - 1143 features - 0 classes - 0 missing values
qsbr_y2 (1)
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode). The molecules and outputs are taken…
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25 instances - 10 features - 0 classes - 0 missing values
krystek (1)
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode). The molecules and outputs are taken…
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30 instances - 1143 features - 0 classes - 0 missing values
simulated_bank_marketing (2)
See [https://github.com/slds-lmu/paper_2023_ci_for_ge](https://github.com/slds-lmu/paper_2023_ci_for_ge) for a description.
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5100000 instances - 17 features - 0 classes - 0 missing values
simulated_covertype (3)
See [https://github.com/slds-lmu/paper_2023_ci_for_ge](https://github.com/slds-lmu/paper_2023_ci_for_ge) for a description.
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5100000 instances - 11 features - 0 classes - 0 missing values
simulated_bank_marketing (3)
See [https://github.com/slds-lmu/paper_2023_ci_for_ge](https://github.com/slds-lmu/paper_2023_ci_for_ge) for a description.
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5100000 instances - 17 features - 0 classes - 0 missing values