OpenML
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1000000 instances - 37 features - 2 classes - 0 missing values
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1000000 instances - 39 features - 6 classes - 0 missing values
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1000000 instances - 39 features - 6 classes - 0 missing values
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1000000 instances - 39 features - 6 classes - 0 missing values
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1000000 instances - 39 features - 6 classes - 0 missing values
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1000000 instances - 39 features - 6 classes - 0 missing values
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1000000 instances - 39 features - 6 classes - 0 missing values
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1000000 instances - 39 features - 6 classes - 0 missing values
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1000000 instances - 39 features - 6 classes - 0 missing values
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1000000 instances - 39 features - 6 classes - 0 missing values
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1000000 instances - 39 features - 6 classes - 0 missing values
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1000000 instances - 39 features - 6 classes - 0 missing values
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1000000 instances - 39 features - 6 classes - 0 missing values
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1000000 instances - 39 features - 6 classes - 0 missing values
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1000000 instances - 39 features - 6 classes - 0 missing values
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1000000 instances - 39 features - 6 classes - 0 missing values
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1000000 instances - 39 features - 6 classes - 0 missing values
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1000000 instances - 37 features - 2 classes - 0 missing values
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1000000 instances - 37 features - 2 classes - 0 missing values
Normalized form of codrna (351) Andrew V Uzilov, Joshua M Keegan, and David H Mathews. Detection of non-coding RNAs on the basis of predicted secondary structure formation free energy change. BMC…
309 runs0 likes5 downloads5 reach1 impact
488565 instances - 9 features - 2 classes - 0 missing values
Normalized version of vehicle dataset (http://www.openml.org/d/54) NAME vehicle silhouettes PURPOSE to classify a given silhouette as one of four types of vehicle, using a set of features extracted…
372 runs0 likes10 downloads10 reach1 impact
98528 instances - 101 features - 2 classes - 0 missing values
Michel Lang fRMA-normalized. Only "Kratz-genes"*. \* (see: A practical molecular assay to predict survival in resected non-squamous, non-small-cell lung cancer: development and international…
3 runs0 likes3 downloads3 reach4 impact
442 instances - 24 features - 0 classes - 0 missing values
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
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
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
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 likes0 downloads0 reach5 impact
100 instances - 11 features - 0 classes - 0 missing values
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 likes0 downloads0 reach5 impact
250 instances - 11 features - 0 classes - 0 missing values
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 likes0 downloads0 reach5 impact
100 instances - 51 features - 0 classes - 0 missing values
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 likes0 downloads0 reach5 impact
500 instances - 51 features - 0 classes - 0 missing values
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 likes0 downloads0 reach5 impact
250 instances - 51 features - 0 classes - 0 missing values
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
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 likes0 downloads0 reach5 impact
100 instances - 11 features - 0 classes - 0 missing values
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 likes0 downloads0 reach5 impact
100 instances - 11 features - 0 classes - 0 missing values
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 likes1 downloads1 reach5 impact
1000 instances - 51 features - 0 classes - 0 missing values
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 likes1 downloads1 reach5 impact
1000 instances - 11 features - 0 classes - 0 missing values
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 likes0 downloads0 reach5 impact
100 instances - 6 features - 0 classes - 0 missing values
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 likes0 downloads0 reach5 impact
100 instances - 26 features - 0 classes - 0 missing values
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 likes0 downloads0 reach5 impact
500 instances - 51 features - 0 classes - 0 missing values
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 likes0 downloads0 reach5 impact
500 instances - 11 features - 0 classes - 0 missing values
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 likes1 downloads1 reach5 impact
1000 instances - 6 features - 0 classes - 0 missing values
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 likes0 downloads0 reach5 impact
100 instances - 26 features - 0 classes - 0 missing values
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 likes0 downloads0 reach5 impact
100 instances - 51 features - 0 classes - 0 missing values
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 likes0 downloads0 reach5 impact
100 instances - 6 features - 0 classes - 0 missing values
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 likes1 downloads1 reach5 impact
1000 instances - 6 features - 0 classes - 0 missing values
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 likes0 downloads0 reach5 impact
250 instances - 6 features - 0 classes - 0 missing values
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 likes0 downloads0 reach5 impact
250 instances - 26 features - 0 classes - 0 missing values
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 likes0 downloads0 reach5 impact
250 instances - 11 features - 0 classes - 0 missing values
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 likes0 downloads0 reach5 impact
500 instances - 51 features - 0 classes - 0 missing values
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 likes1 downloads1 reach5 impact
500 instances - 6 features - 0 classes - 0 missing values
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 likes1 downloads1 reach5 impact
1000 instances - 51 features - 0 classes - 0 missing values
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 likes0 downloads0 reach5 impact
250 instances - 51 features - 0 classes - 0 missing values
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 likes1 downloads1 reach5 impact
1000 instances - 26 features - 0 classes - 0 missing values
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1000000 instances - 70 features - 24 classes - 0 missing values
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1000000 instances - 70 features - 24 classes - 0 missing values
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1000000 instances - 26 features - 7 classes - 0 missing values
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1000000 instances - 26 features - 7 classes - 0 missing values
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1000000 instances - 26 features - 7 classes - 0 missing values
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1000000 instances - 26 features - 7 classes - 0 missing values
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1000000 instances - 26 features - 7 classes - 0 missing values
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1000000 instances - 26 features - 7 classes - 0 missing values
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28 runs0 likes3 downloads3 reach2 impact
1000000 instances - 26 features - 7 classes - 0 missing values
libSVM","AAD group A practical guide to support vector classification. Technical report, Department of Computer Science, National Taiwan University, 2003. #Dataset from the LIBSVM data repository…
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7089 instances - 5 features - 0 classes - 0 missing values
libSVM","AAD group A simple and efficient algorithm for gene selection using sparse logistic regression. Bioinformatics, 19(17):2246-2253, 2003. #Dataset from the LIBSVM data repository.…
0 runs0 likes2 downloads2 reach5 impact
86 instances - 7130 features - 0 classes - 0 missing values
Building projectable classifiers of arbitrary complexity. In Proceedings of the 13th International Conference on Pattern Recognition, pages 880-885, Vienna, Austria, August 1996. #Dataset from the…
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862 instances - 3 features - 0 classes - 0 missing values
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1000 instances - 25 features - 0 classes - 0 missing values
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1000000 instances - 26 features - 7 classes - 0 missing values
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1000000 instances - 19 features - 4 classes - 0 missing values
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1000000 instances - 19 features - 4 classes - 0 missing values
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1000000 instances - 19 features - 4 classes - 0 missing values
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1000000 instances - 19 features - 4 classes - 0 missing values
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1000000 instances - 19 features - 4 classes - 0 missing values
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27 runs0 likes1 downloads1 reach3 impact
1000000 instances - 19 features - 4 classes - 0 missing values
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27 runs0 likes1 downloads1 reach3 impact
1000000 instances - 19 features - 4 classes - 0 missing values
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28 runs0 likes1 downloads1 reach3 impact
1000000 instances - 19 features - 4 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,…
0 runs0 likes1 downloads1 reach5 impact
32561 instances - 124 features - 0 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,…
0 runs0 likes1 downloads1 reach5 impact
32561 instances - 124 features - 0 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,…
0 runs0 likes2 downloads2 reach5 impact
32561 instances - 124 features - 0 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,…
0 runs0 likes0 downloads0 reach5 impact
32561 instances - 124 features - 0 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,…
0 runs0 likes1 downloads1 reach5 impact
32561 instances - 124 features - 0 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,…
0 runs0 likes0 downloads0 reach5 impact
32561 instances - 124 features - 0 classes - 0 missing values
Michel Lang fRMA-normalized. Only "Kratz-genes"*. \* (see: A practical molecular assay to predict survival in resected non-squamous, non-small-cell lung cancer: development and international…
0 runs0 likes7 downloads7 reach5 impact
226 instances - 24 features - 2 classes - 0 missing values
Modified version of the training dataset of the Bike Sharing Demand challenge running on Kaggle (http://www.kaggle.com/c/bike-sharing-demand/) If you use the problem in publication, please cite:…
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10886 instances - 12 features - 0 classes - 0 missing values
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24 instances - 5 features - classes - 0 missing values
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209 instances - 8 features - classes - 0 missing values
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 likes0 downloads0 reach5 impact
250 instances - 6 features - 0 classes - 0 missing values
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 likes0 downloads0 reach5 impact
250 instances - 11 features - 0 classes - 0 missing values
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 likes0 downloads0 reach5 impact
250 instances - 51 features - 0 classes - 0 missing values
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 likes0 downloads0 reach5 impact
500 instances - 11 features - 0 classes - 0 missing values
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 likes0 downloads0 reach5 impact
250 instances - 26 features - 0 classes - 0 missing values
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 reach5 impact
1000 instances - 11 features - 0 classes - 0 missing values
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 likes1 downloads1 reach5 impact
1000 instances - 51 features - 0 classes - 0 missing values
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 likes1 downloads1 reach5 impact
1000 instances - 11 features - 0 classes - 0 missing values
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 likes1 downloads1 reach5 impact
1000 instances - 6 features - 0 classes - 0 missing values
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 likes0 downloads0 reach5 impact
500 instances - 101 features - 0 classes - 0 missing values
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311 runs0 likes5 downloads5 reach2 impact
1000000 instances - 10 features - 2 classes - 0 missing values
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1000000 instances - 4 features - 2 classes - 0 missing values
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1000000 instances - 4 features - 2 classes - 0 missing values