OpenML
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# Data Description This is the historical price data of the FOREX EUR/GBP from Dukascopy. One instance (row) is one candlestick of one minute. The whole dataset has the data range from 1-1-2018 to…
0 runs0 likes0 downloads0 reach0 impact
375840 instances - 12 features - 2 classes - 0 missing values
# Data Description This is the historical price data of the FOREX AUD/USD from Dukascopy. One instance (row) is one candlestick of one minute. The whole dataset has the data range from 1-1-2018 to…
0 runs0 likes0 downloads0 reach0 impact
375840 instances - 12 features - 2 classes - 0 missing values
# Data Description This is the historical price data of the FOREX AUD/CHF from Dukascopy. One instance (row) is one candlestick of one minute. The whole dataset has the data range from 1-1-2018 to…
0 runs0 likes0 downloads0 reach0 impact
375840 instances - 12 features - 2 classes - 0 missing values
The goal of this challenge is to expose the research community to real world datasets of interest to 4Paradigm. All datasets are formatted in a uniform way, though the type of data might differ. The…
0 runs0 likes0 downloads0 reach8 impact
3153 instances - 971 features - 2 classes - 0 missing values
The goal of this challenge is to expose the research community to real world datasets of interest to 4Paradigm. All datasets are formatted in a uniform way, though the type of data might differ. The…
0 runs0 likes0 downloads0 reach5 impact
31406 instances - 23 features - 2 classes - 29756 missing values
__Major changes w.r.t. version 1: deactivated first two variables as they describe the batch of the experiments and should not be used for prediction. Also transformed the target from numeric to…
6501 runs0 likes3 downloads3 reach5 impact
540 instances - 21 features - 2 classes - 0 missing values
### Description ### This dataset is part of a collection datasets based on the game "Jungle Chess" (a.k.a. Dou Shou Qi). For a description of the rules, please refer to the paper (link attached). The…
12 runs0 likes0 downloads0 reach4 impact
2351 instances - 47 features - 2 classes - 0 missing values
The goal of this challenge is to expose the research community to real world datasets of interest to 4Paradigm. All datasets are formatted in a uniform way, though the type of data might differ. The…
0 runs0 likes0 downloads0 reach6 impact
4147 instances - 49 features - 2 classes - 0 missing values
The goal of this challenge is to expose the research community to real world datasets of interest to 4Paradigm. All datasets are formatted in a uniform way, though the type of data might differ. The…
0 runs0 likes0 downloads0 reach5 impact
100 instances - 10001 features - 2 classes - 0 missing values
GISETTE is a handwritten digit recognition problem. The problem is to separate the highly confusable digits '4' and '9'. This dataset is one of five datasets of the NIPS 2003 feature selection…
466 runs0 likes52 downloads52 reach16 impact
7000 instances - 5001 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…
0 runs0 likes0 downloads0 reach0 impact
1832 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 minute. The whole dataset has the data range from 1-1-2018 to…
0 runs0 likes0 downloads0 reach0 impact
375840 instances - 12 features - 2 classes - 0 missing values
# Data Description This is the historical price data of the FOREX AUD/CHF from Dukascopy. One instance (row) is one candlestick of one hour. The whole dataset has the data range from 1-1-2018 to…
0 runs0 likes0 downloads0 reach0 impact
43825 instances - 12 features - 2 classes - 0 missing values
# Data Description This is the historical price data of the FOREX EUR/HKD from Dukascopy. One instance (row) is one candlestick of one minute. The whole dataset has the data range from 1-1-2018 to…
0 runs0 likes0 downloads0 reach0 impact
375840 instances - 12 features - 2 classes - 0 missing values
Data
0 runs0 likes0 downloads0 reach2 impact
539383 instances - 8 features - 2 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…
0 runs0 likes0 downloads0 reach0 impact
14 instances - 5 features - 2 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…
0 runs0 likes1 downloads1 reach0 impact
14 instances - 5 features - 2 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…
0 runs0 likes0 downloads0 reach0 impact
14 instances - 5 features - 2 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…
0 runs0 likes0 downloads0 reach0 impact
14 instances - 5 features - 2 classes - 0 missing values
# Data Description This is the historical price data of the FOREX EUR/USD from Dukascopy. One instance (row) is one candlestick of one minute. The whole dataset has the data range from 1-1-2018 to…
0 runs0 likes1 downloads1 reach0 impact
375840 instances - 12 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…
0 runs0 likes0 downloads0 reach0 impact
43825 instances - 12 features - 2 classes - 0 missing values
# Data Description This is the historical price data of the FOREX EUR/NZD from Dukascopy. One instance (row) is one candlestick of one day. The whole dataset has the data range from 1-1-2018 to…
0 runs0 likes0 downloads0 reach0 impact
1832 instances - 12 features - 2 classes - 0 missing values
# Data Description This is the historical price data of the FOREX EUR/PLN from Dukascopy. One instance (row) is one candlestick of one minute. The whole dataset has the data range from 1-1-2018 to…
0 runs0 likes0 downloads0 reach0 impact
375840 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 hour. The whole dataset has the data range from 1-1-2018 to…
0 runs0 likes0 downloads0 reach0 impact
43825 instances - 12 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 day. The whole dataset has the data range from 1-1-2018 to…
0 runs0 likes0 downloads0 reach0 impact
1834 instances - 12 features - 2 classes - 0 missing values
# Data Description This is the historical price data of the FOREX USD/JPY from Dukascopy. One instance (row) is one candlestick of one minute. The whole dataset has the data range from 1-1-2018 to…
0 runs0 likes0 downloads0 reach0 impact
375840 instances - 12 features - 2 classes - 0 missing values
# Data Description This is the historical price data of the FOREX AUD/JPY from Dukascopy. One instance (row) is one candlestick of one hour. The whole dataset has the data range from 1-1-2018 to…
0 runs0 likes0 downloads0 reach0 impact
43825 instances - 12 features - 2 classes - 0 missing values
# Data Description This is the historical price data of the FOREX EUR/JPY from Dukascopy. One instance (row) is one candlestick of one day. The whole dataset has the data range from 1-1-2018 to…
0 runs0 likes0 downloads0 reach0 impact
1832 instances - 12 features - 2 classes - 0 missing values
# Data Description This is the historical price data of the FOREX EUR/USD from Dukascopy. One instance (row) is one candlestick of one day. The whole dataset has the data range from 1-1-2018 to…
0 runs0 likes0 downloads0 reach0 impact
1837 instances - 12 features - 2 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…
0 runs0 likes0 downloads0 reach0 impact
14 instances - 5 features - 2 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…
0 runs0 likes0 downloads0 reach0 impact
14 instances - 5 features - 2 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…
0 runs0 likes0 downloads0 reach0 impact
14 instances - 5 features - 2 classes - 0 missing values
Binarized version of the semeion dataset (see version 1). Only instances with class labels 1 and 2 from the original dataset are considered.
0 runs0 likes0 downloads0 reach1 impact
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…
0 runs0 likes0 downloads0 reach0 impact
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…
0 runs0 likes0 downloads0 reach0 impact
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…
0 runs0 likes0 downloads0 reach0 impact
156 instances - 81 features - 2 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).
0 runs0 likes0 downloads0 reach1 impact
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.
0 runs0 likes0 downloads0 reach2 impact
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.
0 runs0 likes0 downloads0 reach1 impact
240 instances - 857 features - 2 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…
0 runs0 likes0 downloads0 reach0 impact
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
197 runs0 likes8 downloads8 reach6 impact
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
No data.
253 runs0 likes7 downloads7 reach1 impact
1076790 instances - 30 features - 2 classes - 7275 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
Mean While 1
0 runs0 likes3 downloads3 reach3 impact
253 instances - 38 features - 2 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
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…
0 runs0 likes0 downloads0 reach0 impact
7043 instances - 20 features - 2 classes - 0 missing values
#modelage
0 runs0 likes0 downloads0 reach0 impact
202 instances - 20 features - 2 classes - 17 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…
0 runs0 likes1 downloads1 reach1 impact
981541 instances - 33 features - 2 classes - 0 missing values
Elegibilidade ecommerce
0 runs0 likes1 downloads1 reach0 impact
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…
0 runs0 likes0 downloads0 reach0 impact
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…
0 runs0 likes0 downloads0 reach0 impact
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…
0 runs0 likes0 downloads0 reach0 impact
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…
0 runs0 likes1 downloads1 reach0 impact
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…
0 runs0 likes1 downloads1 reach0 impact
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…
0 runs0 likes0 downloads0 reach0 impact
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…
0 runs0 likes0 downloads0 reach0 impact
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…
0 runs0 likes2 downloads2 reach0 impact
43825 instances - 12 features - 2 classes - 0 missing values
The ILPD liver dataset from the OpenCC18 with the gender binary encoded so all features are numeric
0 runs0 likes0 downloads0 reach1 impact
583 instances - 11 features - 2 classes - 0 missing values
Sick dataset from the opencc18 with all textual binary variables label encoded.
0 runs0 likes0 downloads0 reach1 impact
3772 instances - 30 features - 2 classes - 0 missing values
This dataset is taken from the MiniBooNE experiment and is used to distinguish electron neutrinos (signal) from muon neutrinos (background). This dataset is ordered. It first contains all signal…
6 runs0 likes3 downloads3 reach4 impact
130064 instances - 51 features - 2 classes - 0 missing values
Datasets from ACM KDD Cup (http://www.sigkdd.org/kddcup/index.php) KDD Cup 2009 http://www.kddcup-orange.com Converted to ARFF format by TunedIT Customer Relationship Management (CRM) is a key element…
223 runs0 likes17 downloads17 reach9 impact
50000 instances - 231 features - 2 classes - 8024152 missing values
### Description The data consists of real historical data collected from 2010 & 2011. Employees are manually allowed or denied access to resources over time. The data is used to create an algorithm…
35319 runs0 likes14 downloads14 reach18 impact
32769 instances - 10 features - 2 classes - 0 missing values
Prediction task is to determine whether a person makes over 50K a year. Extraction was done by Barry Becker from the 1994 Census database. A set of reasonably clean records was extracted using the…
13600 runs1 likes17 downloads18 reach26 impact
48842 instances - 15 features - 2 classes - 6465 missing values
1. Data set title: Nomao Data Set 2. Abstract: Nomao collects data about places (name, phone, localization...) from many sources. Deduplication consists in detecting what data refer to the same place.…
66541 runs0 likes15 downloads15 reach18 impact
34465 instances - 119 features - 2 classes - 0 missing values
The data is related with direct marketing campaigns of a Portuguese banking institution. The marketing campaigns were based on phone calls. Often, more than one contact to the same client was…
64653 runs2 likes28 downloads30 reach20 impact
45211 instances - 17 features - 2 classes - 0 missing values
The data is cleaned, regularized and encrypted global equity data. The first 21 columns (feature1 - feature21) are features, and target is the binary class you’re trying to predict.
858 runs1 likes1 downloads2 reach6 impact
96320 instances - 22 features - 2 classes - 0 missing values
### Attribute Information * The first column is the class label (1 for signal, 0 for background) * 21 low-level features (kinematic properties): lepton pT, lepton eta, lepton phi, missing energy…
14235 runs1 likes7 downloads8 reach17 impact
98050 instances - 29 features - 2 classes - 9 missing values
The goal of this challenge is to expose the research community to real world datasets of interest to 4Paradigm. All datasets are formatted in a uniform way, though the type of data might differ. The…
6 runs0 likes0 downloads0 reach8 impact
20000 instances - 4297 features - 2 classes - 0 missing values
The goal of this challenge is to expose the research community to real world datasets of interest to 4Paradigm. All datasets are formatted in a uniform way, though the type of data might differ. The…
6 runs0 likes0 downloads0 reach8 impact
20000 instances - 4297 features - 2 classes - 0 missing values
This is the dataset used for the 2016 IDA Industrial Challenge, courtesy of Scania. For a full description, see http://archive.ics.uci.edu/ml/datasets/IDA2016Challenge . This dataset contains both the…
7 runs0 likes0 downloads0 reach7 impact
76000 instances - 171 features - 2 classes - 1078695 missing values
Forecasting skewed biased stochastic ozone days: analyses, solutions and beyond, Knowledge and Information Systems, Vol. 14, No. 3, 2008. 1 . Abstract: Two ground ozone level data sets are included in…
184050 runs0 likes13 downloads13 reach19 impact
2534 instances - 73 features - 2 classes - 0 missing values
No data.
71 runs0 likes5 downloads5 reach2 impact
1000000 instances - 17 features - 2 classes - 0 missing values
No data.
356 runs0 likes7 downloads7 reach1 impact
131072 instances - 17 features - 2 classes - 0 missing values
Author: Volker Lohweg (University of Applied Sciences, Ostwestfalen-Lippe) Source: [UCI](https://archive.ics.uci.edu/ml/datasets/banknote+authentication) - 2012 Please cite:…
135193 runs1 likes22 downloads23 reach21 impact
1372 instances - 5 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
762 runs0 likes9 downloads9 reach7 impact
315 instances - 14 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
1173 runs0 likes8 downloads8 reach6 impact
100 instances - 6 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
117 runs0 likes5 downloads5 reach6 impact
39 instances - 4 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
788 runs0 likes7 downloads7 reach7 impact
400 instances - 8 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
638 runs0 likes9 downloads9 reach7 impact
1000 instances - 26 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
646 runs0 likes9 downloads9 reach7 impact
1000 instances - 51 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
653 runs0 likes10 downloads10 reach7 impact
1000 instances - 11 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
154 runs0 likes9 downloads9 reach7 impact
2001 instances - 3 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
791 runs0 likes7 downloads7 reach7 impact
400 instances - 8 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
643 runs0 likes8 downloads8 reach7 impact
1000 instances - 11 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
817 runs0 likes8 downloads8 reach7 impact
400 instances - 7 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
618 runs0 likes11 downloads11 reach7 impact
40768 instances - 11 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
764 runs0 likes6 downloads6 reach7 impact
400 instances - 8 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
779 runs0 likes7 downloads7 reach7 impact
400 instances - 8 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
1038 runs0 likes8 downloads8 reach6 impact
147 instances - 7 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
847 runs0 likes7 downloads7 reach7 impact
250 instances - 6 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
624 runs0 likes8 downloads8 reach7 impact
1000 instances - 6 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). The multi-class target feature is converted to a two-class nominal target feature by re-labeling the majority class as positive ('P') and…
103 runs0 likes5 downloads5 reach6 impact
107 instances - 13 features - 2 classes - 71 missing values
Binarized version of the original data set (see version 1). The multi-class target feature is converted to a two-class nominal target feature by re-labeling the majority class as positive ('P') and…
104 runs0 likes6 downloads6 reach7 impact
379 instances - 9 features - 2 classes - 1368 missing values
Binarized version of the original data set (see version 1). The multi-class target feature is converted to a two-class nominal target feature by re-labeling the majority class as positive ('P') and…
737 runs0 likes9 downloads9 reach7 impact
3772 instances - 30 features - 2 classes - 6064 missing values
Binarized version of the original data set (see version 1). The multi-class target feature is converted to a two-class nominal target feature by re-labeling the majority class as positive ('P') and…
106 runs0 likes5 downloads5 reach6 impact
76 instances - 46 features - 2 classes - 22 missing values
Binarized version of the original data set (see version 1). The multi-class target feature is converted to a two-class nominal target feature by re-labeling the majority class as positive ('P') and…
752 runs0 likes7 downloads7 reach7 impact
339 instances - 18 features - 2 classes - 225 missing values
Binarized version of the original data set (see version 1). The multi-class target feature is converted to a two-class nominal target feature by re-labeling the majority class as positive ('P') and…
169 runs0 likes8 downloads8 reach8 impact
600 instances - 62 features - 2 classes - 0 missing values