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# 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
* Abstract: The data was created by a medical expert as a data set to test the expert system, which will perform the presumptive diagnosis of two diseases of the urinary system. * Source: Jacek…
391 runs0 likes11 downloads11 reach5 impact
120 instances - 7 features - 2 classes - 0 missing values
This data is derived from the 2012 KDD Cup. The data is subsampled to 0.1% of the original number of instances, downsampling the majority class (click=0) so that the target feature is reasonably…
63420 runs0 likes14 downloads14 reach17 impact
39948 instances - 12 features - 2 classes - 0 missing values
Mega watt
183 runs0 likes8 downloads8 reach7 impact
253 instances - 38 features - 2 classes - 0 missing values
Pizza cutter
197 runs0 likes8 downloads8 reach6 impact
661 instances - 38 features - 2 classes - 0 missing values
Pizza cutter 3
188 runs0 likes6 downloads6 reach6 impact
1043 instances - 38 features - 2 classes - 0 missing values
cast metal 1
111 runs0 likes8 downloads8 reach5 impact
327 instances - 38 features - 2 classes - 0 missing values
pie chart 1
102 runs0 likes5 downloads5 reach5 impact
705 instances - 38 features - 2 classes - 0 missing values
pie chart 2
101 runs0 likes5 downloads5 reach5 impact
745 instances - 37 features - 2 classes - 0 missing values
pie chart 3
103 runs0 likes6 downloads6 reach5 impact
1077 instances - 38 features - 2 classes - 0 missing values
An artificial data set where instances belongs to several clusters with a banana shape. There are two attributes At1 and At2 corresponding to the x and y axis, respectively. The class label (-1 and 1)…
163 runs2 likes15 downloads17 reach6 impact
5300 instances - 3 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
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
Costa madre 1
90 runs0 likes6 downloads6 reach7 impact
296 instances - 38 features - 2 classes - 0 missing values
* Dataset Title: AutoUniv Dataset data problem: autoUniv-au1-1000 * Abstract: AutoUniv is an advanced data generator for classifications tasks. The aim is to reflect the nuances and heterogeneity of…
3255 runs0 likes8 downloads8 reach15 impact
1000 instances - 21 features - 2 classes - 0 missing values
* Dataset: Hill valley dataset. A noiseless version of the data set.
117 runs0 likes8 downloads8 reach7 impact
1212 instances - 101 features - 2 classes - 0 missing values
* Dataset: Reduced version (10 % of the examples) of bank-marketing dataset.
104 runs1 likes16 downloads17 reach7 impact
4521 instances - 17 features - 2 classes - 0 missing values
* Abstract: The data was created by a medical expert as a data set to test the expert system, which will perform the presumptive diagnosis of two diseases of the urinary system. This is a…
423 runs0 likes13 downloads13 reach5 impact
120 instances - 7 features - 2 classes - 0 missing values
No data.
697 runs0 likes7 downloads7 reach7 impact
320 instances - 9 features - 2 classes - 0 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
Lucas, D. D., Klein, R., Tannahill, J., Ivanova, D., Brandon, S., Domyancic, D., and Zhang, Y.: Failure analysis of parameter-induced simulation crashes in climate models, Geosci. Model Dev. Discuss.,…
162436 runs0 likes20 downloads20 reach17 impact
540 instances - 21 features - 2 classes - 0 missing values
* Title: Wholesale customers Data Set * Abstract: The data set refers to clients of a wholesale distributor. It includes the annual spending in monetary units (m.u.) on diverse product categories *…
161 runs0 likes9 downloads9 reach6 impact
440 instances - 9 features - 2 classes - 0 missing values
* Twonorm dataset This is an implementation of Leo Breiman's twonorm example[1]. It is a 20 dimensional, 2 class classification example. Each class is drawn from a multivariate normal distribution…
118 runs0 likes5 downloads5 reach6 impact
7400 instances - 21 features - 2 classes - 0 missing values
Current dataset was adapted to ARFF format from the UCI version. Sample code ID's were removed. ! Note that there is also a related Breast Cancer Wisconsin (Original) Data Set with a different set of…
224529 runs1 likes33 downloads34 reach19 impact
569 instances - 31 features - 2 classes - 0 missing values
* Title: Thoracic Surgery Data Data Set * Abstract: The data is dedicated to classification problem related to the post-operative life expectancy in the lung cancer patients: class 1 - death within…
145 runs0 likes6 downloads6 reach6 impact
470 instances - 17 features - 2 classes - 0 missing values
A dataset of steel plates' faults, classified into 7 different types. The goal was to train machine learning for automatic pattern recognition. The dataset consists of 27 features describing each…
277313 runs1 likes36 downloads37 reach16 impact
1941 instances - 34 features - 2 classes - 0 missing values
* Dataset Title: Vertebra Column - 2 classes * Abstract: Data set containing values for six biomechanical features used to classify orthopaedic patients into 3 classes (normal, disk hernia or…
124 runs0 likes5 downloads5 reach6 impact
310 instances - 7 features - 2 classes - 0 missing values
Dataset title laLSVT Voice Rehabilitation Data Set Source: The dataset was created by Athanasios Tsanas (tsanasthanasis '@' gmail.com) of the University of Oxford. Abstract: 126 samples from 14…
162 runs0 likes5 downloads5 reach5 impact
126 instances - 311 features - 2 classes - 0 missing values
Each record represents 100 points on a two-dimensional graph. When plotted in order (from 1 through 100) as the Y coordinate, the points will create either a Hill (a “bump” in the terrain) or a…
183264 runs0 likes20 downloads20 reach17 impact
1212 instances - 101 features - 2 classes - 0 missing values
Source: David Gil, dgil '@' dtic.ua.es, Lucentia Research Group, Department of Computer Technology, University of Alicante Jose Luis Girela, girela '@' ua.es, Department of Biotechnology, University…
451 runs0 likes7 downloads7 reach5 impact
100 instances - 10 features - 2 classes - 0 missing values
All data is from one continuous EEG measurement with the Emotiv EEG Neuroheadset. The duration of the measurement was 117 seconds. The eye state was detected via a camera during the EEG measurement…
165221 runs2 likes90 downloads92 reach18 impact
14980 instances - 15 features - 2 classes - 0 missing values
This data set contains 416 liver patient records and 167 non liver patient records.The data set was collected from north east of Andhra Pradesh, India. The class label divides the patients into 2…
154036 runs0 likes21 downloads21 reach18 impact
583 instances - 11 features - 2 classes - 0 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
* Abstract: Oxford Parkinson's Disease Detection Dataset * Source: The dataset was created by Max Little of the University of Oxford, in collaboration with the National Centre for Voice and Speech,…
179 runs1 likes14 downloads15 reach6 impact
195 instances - 23 features - 2 classes - 0 missing values
The aim of this dataset is to distinguish between nasal (class 0) and oral sounds (class 1). Five different attributes were chosen to characterize each vowel: they are the amplitudes of the five first…
215620 runs4 likes29 downloads33 reach20 impact
5404 instances - 6 features - 2 classes - 0 missing values
* Title: Planning Relax Data Set * Abstract: The dataset concerns with the classification of two mental stages from recorded EEG signals: Planning (during imagination of motor act) and Relax state. *…
141 runs0 likes8 downloads8 reach6 impact
182 instances - 13 features - 2 classes - 0 missing values
* Abstract: Predict the Bankruptcy from Qualitative parameters from experts. * Source: Source Information -- Creator : Mr.A.Martin(jayamartin '@' yahoo.com) Mr.J.Uthayakumar (uthayakumar17691 '@'…
147 runs0 likes11 downloads11 reach6 impact
250 instances - 7 features - 2 classes - 0 missing values
1: Abstract: This is a 20 dimensional, 2 class classification problem. Each class is drawn from a multivariate normal distribution. Class 1 has mean zero and covariance 4 times the identity. Class 2…
120 runs0 likes8 downloads8 reach6 impact
7400 instances - 21 features - 2 classes - 0 missing values
* Title: South Africa Heart Disease Dataset * Description A retrospective sample of males in a heart-disease high-risk region of the Western Cape, South Africa. There are roughly two controls per case…
155 runs0 likes11 downloads11 reach6 impact
462 instances - 10 features - 2 classes - 0 missing values
QSAR biodegradation Data Set * Abstract: Data set containing values for 41 attributes (molecular descriptors) used to classify 1055 chemicals into 2 classes (ready and not ready biodegradable). *…
265112 runs1 likes17 downloads18 reach18 impact
1055 instances - 42 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…
600 runs0 likes12 downloads12 reach7 impact
1000 instances - 101 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…
965 runs0 likes9 downloads9 reach6 impact
137 instances - 8 features - 2 classes - 0 missing values
Contains 110 data sets from the book 'The Statistical Sleuth' by Fred Ramsey and Dan Schafer; Duxbury Press, 1997. (schafer@stat.orst.edu) [14/Oct/97] (172k) Note: description taken from this web…
720 runs0 likes6 downloads6 reach6 impact
60 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…
624 runs0 likes10 downloads10 reach7 impact
15000 instances - 49 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…
604 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…
1041 runs0 likes10 downloads10 reach6 impact
125 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…
608 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…
771 runs0 likes8 downloads8 reach7 impact
468 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…
760 runs0 likes12 downloads12 reach7 impact
8192 instances - 9 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…
747 runs0 likes12 downloads12 reach7 impact
4177 instances - 9 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…
747 runs0 likes6 downloads6 reach7 impact
200 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…
766 runs0 likes7 downloads7 reach6 impact
100 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…
753 runs0 likes8 downloads8 reach7 impact
508 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…
109 runs0 likes5 downloads5 reach6 impact
52 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…
1111 runs0 likes9 downloads9 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…
567 runs0 likes13 downloads13 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…
511 runs0 likes5 downloads5 reach7 impact
185 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…
115 runs0 likes4 downloads4 reach6 impact
50 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…
806 runs0 likes8 downloads8 reach7 impact
186 instances - 61 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…
729 runs0 likes9 downloads9 reach6 impact
45 instances - 47 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…
714 runs0 likes4 downloads4 reach7 impact
303 instances - 14 features - 2 classes - 6 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…
620 runs0 likes10 downloads10 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…
737 runs0 likes5 downloads5 reach7 impact
303 instances - 14 features - 2 classes - 6 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…
802 runs0 likes8 downloads8 reach7 impact
662 instances - 4 features - 2 classes - 0 missing values