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Binarized version of the semeion dataset (see version 1). Only instances with class labels 1 and 2 from the original dataset are considered.
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319 instances - 257 features - 2 classes - 0 missing values
This is a meta-dataset which describes the SVM hyperparameter tuning problem. The target attribute indicates whether tuning is required or default hyperparameter values are enough to each dataset…
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156 instances - 81 features - 2 classes - 0 missing values
This is a meta-dataset which describes the SVM hyperparameter tuning problem. The target attribute indicates whether tuning is required or default hyperparameter values are enough to each dataset…
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156 instances - 91 features - 2 classes - 0 missing values
This is a meta-dataset which describes the SVM hyperparameter tuning problem. The target attribute indicates whether tuning is required or default hyperparameter values are enough to each dataset…
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156 instances - 81 features - 2 classes - 0 missing values
test
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150 instances - 5 features - classes - 0 missing values
test
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150 instances - 5 features - classes - 0 missing values
Binarized version of the USPS dataset (see version 2). Only instances with class labels 6 and 9 from the original dataset are considered and encoded as 0 (original class 6) and 1 (original class 9).
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1424 instances - 257 features - 2 classes - 0 missing values
Binarized version of the isolet dataset (see version 1). Only instances with class labels 1 and 2 from the original dataset are considered.
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600 instances - 618 features - 2 classes - 0 missing values
Binarized version of the cnae-9 dataset (see version 1). Only instances with class labels 1 and 2 from the original dataset are considered.
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240 instances - 857 features - 2 classes - 0 missing values
testtest
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1994 instances - 127 features - 0 classes - 0 missing values
test
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150 instances - 5 features - classes - 0 missing values
test
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150 instances - 5 features - classes - 0 missing values
Much of machine learning research focuses on producing models which perform well on benchmark tasks, in turn improving our understanding of the challenges associated with those tasks. From the…
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270912 instances - 785 features - 49 classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
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150 instances - 5 features - classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
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150 instances - 5 features - 3 classes - 0 missing values
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
No data.
69 runs0 likes4 downloads4 reach1 impact
1000000 instances - 20 features - 2 classes - 0 missing values
Pizza cutter
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661 instances - 38 features - 2 classes - 0 missing values
No data.
31 runs0 likes1 downloads1 reach2 impact
1000000 instances - 37 features - 2 classes - 0 missing values
Source: http://www.ijcaonline.org/archives/volume47/number18/7291-0509 Data Set Information: In this paper, we look for to recognize the causes of users tend to cyber space in Kohkiloye and Boyer…
371 runs0 likes6 downloads6 reach5 impact
100 instances - 6 features - 2 classes - 0 missing values
libSVM","AAD group #Dataset from the LIBSVM data repository. Preprocessing: The original Adult data set has 14 features, among which six are continuous and eight are categorical. In this data set,…
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48842 instances - 124 features - 0 classes - 0 missing values
No data.
51 runs1 likes4 downloads5 reach2 impact
1000000 instances - 48 features - 10 classes - 0 missing values
Airlines Dataset Inspired in the regression dataset from Elena Ikonomovska. The task is to predict whether a given flight will be delayed, given the information of the scheduled departure.
287 runs0 likes27 downloads27 reach7 impact
539383 instances - 8 features - 2 classes - 0 missing values
### Description Gas Sensor Array Drift Dataset Data Set ### Sources ``` (a) Creators: Alexander Vergara (vergara '@' ucsd.edu) BioCircutis Institute University of California San Diego San Diego,…
18352 runs0 likes20 downloads20 reach34 impact
13910 instances - 129 features - 6 classes - 0 missing values
Mean While 1
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253 instances - 38 features - 2 classes - 0 missing values
Context It is important that credit card companies are able to recognize fraudulent credit card transactions so that customers are not charged for items that they did not purchase. Content The…
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284807 instances - 31 features - 0 classes - 0 missing values
### Description This is a data set containing 1080 documents of free text business descriptions of Brazilian companies categorized into a subset of 9 categories. ### Source ``` Patrick Marques…
30032 runs0 likes15 downloads15 reach46 impact
1080 instances - 857 features - 9 classes - 0 missing values
Source: C. Okan Sakar a, Gorkem Serbes b, Aysegul Gunduz c, Hunkar C. Tunc a, Hatice Nizam d, Betul Erdogdu Sakar e, Melih Tutuncu c, Tarkan Aydin a, M. Erdem Isenkul d, Hulya Apaydin c a Department…
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756 instances - 754 features - 0 classes - 0 missing values
Predict a biological response of molecules from their chemical properties. Each row in this data set represents a molecule. The first column contains experimental data describing an actual biological…
46293 runs1 likes34 downloads35 reach22 impact
3751 instances - 1777 features - 2 classes - 0 missing values
Originally from the StatLog project. The raw data is still available on [UCI](https://archive.ics.uci.edu/ml/datasets/Molecular+Biology+(Splice-junction+Gene+Sequences)). The data consists of 3,186…
5988 runs0 likes3 downloads3 reach14 impact
3186 instances - 181 features - 3 classes - 0 missing values
Context "Predict behavior to retain customers. You can analyze all relevant customer data and develop focused customer retention programs." [IBM Sample Data Sets] Content Each row represents a…
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7043 instances - 20 features - 2 classes - 0 missing values
classification
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150 instances - 5 features - classes - 0 missing values
This dataset contains house sale prices for King County, which includes Seattle. It includes homes sold between May 2014 and May 2015. It contains 19 house features plus the price and the id columns,…
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21613 instances - 20 features - 0 classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
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150 instances - 5 features - classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
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150 instances - 5 features - 3 classes - 0 missing values
Israeli lottery
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1153 instances - 11 features - classes - 0 missing values
50% stratified subsample of the original SVHN data
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49644 instances - 3073 features - 10 classes - 0 missing values
nfl_games
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16274 instances - 12 features - classes - 0 missing values
exercises
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15000 instances - 8 features - classes - 0 missing values
source: http://plato.asu.edu/ftp/solvable.html authors: Rolf-David Bergdoll PAR10 performances of modern solvers on the solvable instances of MIPLIB2010. http://miplib.zib.de/ The algorithm runtime…
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1090 instances - 145 features - 0 classes - 0 missing values
source: http://plato.asu.edu/ftp/solvable.html authors: Rolf-David Bergdoll PAR10 performances of modern solvers on the solvable instances of MIPLIB2010. http://miplib.zib.de/ The algorithm runtime…
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218 instances - 144 features - 5 classes - 0 missing values
exercises
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15000 instances - 8 features - classes - 0 missing values
source: An Algorithm Selection Benchmark for the Container Pre-Marshalling Problem (CPMP) authors: K. Tierney and Y. Malitsky (features) / K. Tierney and D. Pacino and S. Voss (algorithms) translator…
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527 instances - 23 features - 4 classes - 0 missing values
source: An Algorithm Selection Benchmark for the Container Pre-Marshalling Problem (CPMP) authors: K. Tierney and Y. Malitsky (features) / K. Tierney and D. Pacino and S. Voss (algorithms) translator…
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2108 instances - 24 features - 0 classes - 0 missing values
2
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375840 instances - 12 features - classes - 0 missing values
Branin test
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225 instances - 3 features - classes - 0 missing values
The Inpatient Utilization and Payment Public Use File (Inpatient PUF) provides information on inpatient discharges for Medicare fee-for-service beneficiaries. The Inpatient PUF includes information on…
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163065 instances - 12 features - 0 classes - 0 missing values
Synthetic 2-d data with N=5000 vectors and k=15 Gaussian clusters with different degree of cluster overlap P. Fränti and O. Virmajoki, "Iterative shrinking method for clustering…
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5000 instances - 3 features - 0 classes - 0 missing values
Synthetic 2-d data with N=5000 vectors and k=15 Gaussian clusters with different degree of cluster overlap P. Fränti and O. Virmajoki, "Iterative shrinking method for clustering…
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5000 instances - 3 features - 0 classes - 0 missing values
Synthetic 2-d data with N=5000 vectors and k=15 Gaussian clusters with different degree of cluster overlap P. Fränti and O. Virmajoki, "Iterative shrinking method for clustering…
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5000 instances - 3 features - 0 classes - 0 missing values
This dataset contains house sale prices for King County, which includes Seattle. It includes homes sold between May 2014 and May 2015. It contains 19 house features plus the price and the id columns,…
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21613 instances - 20 features - classes - 0 missing values
uci
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30000 instances - 27 features - classes - 0 missing values
kaggle_santander_p
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200000 instances - 203 features - classes - 0 missing values
Synthetic 2-d data with N=5000 vectors and k=15 Gaussian clusters with different degree of cluster overlap P. Fränti and O. Virmajoki, "Iterative shrinking method for clustering…
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5000 instances - 3 features - 0 classes - 0 missing values
No data.
33 runs0 likes4 downloads4 reach3 impact
1000000 instances - 70 features - 24 classes - 0 missing values
Chocolate Bar Ratings. Expert ratings of over 1,700 chocolate bars. Each chocolate is evaluated from a combination of both objective qualities and subjective interpretation. A rating here only…
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1794 instances - 9 features - 41 classes - 0 missing values
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
This is a 10% stratified subsample of the data from the 1999 ACM KDD Cup (http://www.sigkdd.org/kddcup/index.php). Modified by TunedIT (converted to ARFF format)…
25 runs1 likes35 downloads36 reach7 impact
494020 instances - 42 features - 23 classes - 0 missing values
Klaverjas is an example of the Jack-Nine card games, which are characterized as trick-taking games where the the Jack and nine of the trump suit are the highest-ranking trumps, and the tens and aces…
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981541 instances - 33 features - 2 classes - 0 missing values
Elegibilidade ecommerce
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269177 instances - 2 features - 2 classes - 0 missing values
# Data Description This is the historical price data of the FOREX EUR/CAD from Dukascopy. One instance (row) is one candlestick of one hour. The whole dataset has the data range from 1-1-2018 to…
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43825 instances - 12 features - 2 classes - 0 missing values
# Data Description This is the historical price data of the FOREX USD/CHF from Dukascopy. One instance (row) is one candlestick of one minute. The whole dataset has the data range from 1-1-2018 to…
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375840 instances - 12 features - 2 classes - 0 missing values
# Data Description This is the historical price data of the FOREX EUR/SGD from Dukascopy. One instance (row) is one candlestick of one hour. The whole dataset has the data range from 1-1-2018 to…
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43825 instances - 12 features - 2 classes - 0 missing values
# Data Description This is the historical price data of the FOREX EUR/CHF from Dukascopy. One instance (row) is one candlestick of one day. The whole dataset has the data range from 1-1-2018 to…
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1833 instances - 12 features - 2 classes - 0 missing values
# Data Description This is the historical price data of the FOREX EUR/HUF from Dukascopy. One instance (row) is one candlestick of one minute. The whole dataset has the data range from 1-1-2018 to…
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375840 instances - 12 features - 2 classes - 0 missing values
# Data Description This is the historical price data of the FOREX EUR/SEK from Dukascopy. One instance (row) is one candlestick of one hour. The whole dataset has the data range from 1-1-2018 to…
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43825 instances - 12 features - 2 classes - 0 missing values
# Data Description This is the historical price data of the FOREX USD/DKK from Dukascopy. One instance (row) is one candlestick of one day. The whole dataset has the data range from 1-1-2018 to…
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1832 instances - 12 features - 2 classes - 0 missing values
# Data Description This is the historical price data of the FOREX AUD/NZD from Dukascopy. One instance (row) is one candlestick of one hour. The whole dataset has the data range from 1-1-2018 to…
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43825 instances - 12 features - 2 classes - 0 missing values
Data set of around 45 language and 25 Category. Consist of articles.
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65428 instances - 3 features - classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
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150 instances - 5 features - 3 classes - 0 missing values
The ILPD dataset from the OpenCC18 with all categorical variables label encoded
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583 instances - 11 features - 0 classes - 0 missing values
The sick dataset from the OpenCC18 with all categorical data label encoded so all data is numeric
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3772 instances - 30 features - classes - 0 missing values
The ILPD liver dataset from the OpenCC18 with the gender binary encoded so all features are numeric
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583 instances - 11 features - 2 classes - 0 missing values
Sick dataset from the opencc18 with all textual binary variables label encoded.
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3772 instances - 30 features - 2 classes - 0 missing values
test openml upload
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150 instances - 5 features - 3 classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
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150 instances - 5 features - classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
0 runs0 likes0 downloads0 reach0 impact
150 instances - 5 features - 3 classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
0 runs0 likes0 downloads0 reach0 impact
150 instances - 5 features - classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
0 runs0 likes0 downloads0 reach0 impact
150 instances - 5 features - 3 classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
0 runs0 likes0 downloads0 reach0 impact
150 instances - 5 features - classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
0 runs0 likes0 downloads0 reach0 impact
150 instances - 5 features - 3 classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
0 runs0 likes0 downloads0 reach0 impact
150 instances - 5 features - classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
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150 instances - 5 features - 3 classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
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150 instances - 5 features - classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
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150 instances - 5 features - 3 classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
0 runs0 likes0 downloads0 reach0 impact
150 instances - 5 features - classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
0 runs0 likes0 downloads0 reach0 impact
150 instances - 5 features - 3 classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
0 runs0 likes0 downloads0 reach0 impact
150 instances - 5 features - classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
0 runs0 likes0 downloads0 reach0 impact
150 instances - 5 features - 3 classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
0 runs0 likes0 downloads0 reach0 impact
150 instances - 5 features - classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
0 runs0 likes0 downloads0 reach0 impact
150 instances - 5 features - 3 classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
0 runs0 likes0 downloads0 reach0 impact
150 instances - 5 features - classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
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150 instances - 5 features - 3 classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
0 runs0 likes0 downloads0 reach0 impact
150 instances - 5 features - classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
0 runs0 likes0 downloads0 reach0 impact
150 instances - 5 features - 3 classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
0 runs0 likes0 downloads0 reach0 impact
150 instances - 5 features - classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
0 runs0 likes0 downloads0 reach0 impact
150 instances - 5 features - 3 classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
0 runs0 likes0 downloads0 reach0 impact
150 instances - 5 features - classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
0 runs0 likes0 downloads0 reach0 impact
150 instances - 5 features - 3 classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
0 runs0 likes0 downloads0 reach0 impact
150 instances - 5 features - classes - 0 missing values