OpenML
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0 likes - 0 downloads - 0 reach - mean_absolute_error: 44.0509, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 1.1205, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 57.9225, root_relative_squared_error: 1.1205,
Automatically created MXNet flow.
2 runs0 likes0 downloads0 reach0 impact
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.756, f_measure: 0.7349, kappa: 0.357, kb_relative_information_score: 0.2642, mean_absolute_error: 0.2973, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7317, predictive_accuracy: 0.741, prior_entropy: 0.8813, recall: 0.741, relative_absolute_error: 0.7076, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.9418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.7478, kappa: 0.391, kb_relative_information_score: 0.268, mean_absolute_error: 0.2969, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7452, predictive_accuracy: 0.752, prior_entropy: 0.8813, recall: 0.752, relative_absolute_error: 0.7067, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4286, root_relative_squared_error: 0.9353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7554, f_measure: 0.7354, kappa: 0.3576, kb_relative_information_score: 0.2607, mean_absolute_error: 0.299, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7322, predictive_accuracy: 0.742, prior_entropy: 0.8813, recall: 0.742, relative_absolute_error: 0.7117, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4318, root_relative_squared_error: 0.9423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7591, f_measure: 0.7364, kappa: 0.3614, kb_relative_information_score: 0.2642, mean_absolute_error: 0.2968, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7333, predictive_accuracy: 0.742, prior_entropy: 0.8813, recall: 0.742, relative_absolute_error: 0.7063, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.9394,
Automatically created MXNet flow.
4 runs0 likes0 downloads0 reach0 impact
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4866, kb_relative_information_score: 0.2339, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8813, recall: 0.7, relative_absolute_error: 0.7141, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1952,
Automatically created pytorch flow.
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Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
0 likes - 0 downloads - 0 reach - mean_absolute_error: 47.5881, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 1.2105, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 63.7465, root_relative_squared_error: 1.2332,
Automatically created pytorch flow.
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Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
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Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
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Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
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Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.482, kb_relative_information_score: 0.2339, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8813, recall: 0.7, relative_absolute_error: 0.714, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1952,
Automatically created pytorch flow.
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Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
0 likes - 0 downloads - 0 reach - mean_absolute_error: 47.4166, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 1.2061, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 63.439, root_relative_squared_error: 1.2273,
Automatically created pytorch flow.
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Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7821, f_measure: 0.7455, kappa: 0.375, kb_relative_information_score: 0.2151, mean_absolute_error: 0.3284, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7449, predictive_accuracy: 0.758, prior_entropy: 0.8813, recall: 0.758, relative_absolute_error: 0.7815, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7889, f_measure: 0.7517, kappa: 0.3869, kb_relative_information_score: 0.2256, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7558, predictive_accuracy: 0.768, prior_entropy: 0.8813, recall: 0.768, relative_absolute_error: 0.7749, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4023, root_relative_squared_error: 0.878,
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.791, mean_prior_absolute_error: 0.7841, number_of_instances: 100, relative_absolute_error: 1.0088, root_mean_prior_squared_error: 0.995, root_mean_squared_error: 1.0097, root_relative_squared_error: 1.0148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7843, f_measure: 0.7506, kappa: 0.3902, kb_relative_information_score: 0.2071, mean_absolute_error: 0.3316, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7486, predictive_accuracy: 0.76, prior_entropy: 0.8813, recall: 0.76, relative_absolute_error: 0.7891, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.8844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7837, f_measure: 0.7458, kappa: 0.3769, kb_relative_information_score: 0.2046, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7444, predictive_accuracy: 0.757, prior_entropy: 0.8813, recall: 0.757, relative_absolute_error: 0.7909, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.406, root_relative_squared_error: 0.8859,
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.779, mean_prior_absolute_error: 0.7841, number_of_instances: 100, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.995, root_mean_squared_error: 1.0196, root_relative_squared_error: 1.0248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7874, f_measure: 0.7457, kappa: 0.3724, kb_relative_information_score: 0.2172, mean_absolute_error: 0.3271, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7486, predictive_accuracy: 0.762, prior_entropy: 0.8813, recall: 0.762, relative_absolute_error: 0.7784, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.8819,
exercises
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DESH BANDHU
I am Associate Professor in NIILM University
BUDHA COLLEGE OF MANAGEMENT India Joined 2019-06-20
0 uploads 1 activity 0 reach 0 impact
Chintakunta Venkatesh Kumar
Computer science student
Sreenidhi institute of science and technology india Joined 2019-06-19
0 uploads 0 activity 0 reach 0 impact
Roberto Rios
Architecture
Particular Brazil Joined 2019-06-19
1 uploads 1.5 activity 0 reach 0 impact
nada hamdy
egypt Joined 2019-06-19
2 uploads 2 activity 0 reach 0 impact
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.7781, mean_prior_absolute_error: 0.7841, number_of_instances: 100, relative_absolute_error: 0.9923, root_mean_prior_squared_error: 0.995, root_mean_squared_error: 0.998, root_relative_squared_error: 1.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7824, f_measure: 0.7488, kappa: 0.384, kb_relative_information_score: 0.2076, mean_absolute_error: 0.3305, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7477, predictive_accuracy: 0.76, prior_entropy: 0.8813, recall: 0.76, relative_absolute_error: 0.7867, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.8868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7382, f_measure: 0.5948, kappa: 0.0369, kb_relative_information_score: 0.0883, mean_absolute_error: 0.3821, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.794, predictive_accuracy: 0.708, prior_entropy: 0.8813, recall: 0.708, relative_absolute_error: 0.9095, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4321, root_relative_squared_error: 0.9429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7562, f_measure: 0.6767, kappa: 0.2002, kb_relative_information_score: 0.1152, mean_absolute_error: 0.3717, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.714, predictive_accuracy: 0.73, prior_entropy: 0.8813, recall: 0.73, relative_absolute_error: 0.8846, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4215, root_relative_squared_error: 0.9199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6453, kb_relative_information_score: 0.1045, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8813, recall: 0.7, relative_absolute_error: 0.8833, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4551, root_relative_squared_error: 0.9932,
5 runs0 likes0 downloads0 reach0 impact
uploader_id : 8316 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : average_cost - target_feature : algorithm
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7602, f_measure: 0.6297, kappa: 0.1013, kb_relative_information_score: 0.0986, mean_absolute_error: 0.3794, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7117, predictive_accuracy: 0.716, prior_entropy: 0.8813, recall: 0.716, relative_absolute_error: 0.9029, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4244, root_relative_squared_error: 0.9261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6431, f_measure: 0.6886, kappa: 0.2749, kb_relative_information_score: 0.1905, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6966, predictive_accuracy: 0.683, prior_entropy: 0.8813, recall: 0.683, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.563, root_relative_squared_error: 1.2286,
Automatically created scikit-learn flow.
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Automatically created scikit-learn flow.
0 runs0 likes0 downloads0 reach0 impact
Tom Sterk
netherlands Joined 2019-06-19
3 uploads 3 activity 0 reach 0 impact
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7562, f_measure: 0.6323, kappa: 0.1076, kb_relative_information_score: 0.1097, mean_absolute_error: 0.3754, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7199, predictive_accuracy: 0.718, prior_entropy: 0.8813, recall: 0.718, relative_absolute_error: 0.8934, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.9258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7271, f_measure: 0.6077, kappa: 0.0568, kb_relative_information_score: 0.0886, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6963, predictive_accuracy: 0.708, prior_entropy: 0.8813, recall: 0.708, relative_absolute_error: 0.9043, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4312, root_relative_squared_error: 0.9409,
Automatically created keras flow.
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Automatically created keras flow.
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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…
0 runs0 likes1 downloads1 reach0 impact
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
Automatically created scikit-learn flow.
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Automatically created scikit-learn flow.
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Automatically created scikit-learn flow.
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Automatically created scikit-learn flow.
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Automatically created scikit-learn flow.
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Automatically created scikit-learn flow.
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Automatically created scikit-learn flow.
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Automatically created scikit-learn flow.
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ANN JAISON
student
student India Joined 2019-06-19
0 uploads 1.5 activity 0 reach 0 impact
FERNANDO Valdez
Teacher of TI
UIA Mexico Joined 2019-06-19
0 uploads 0.5 activity 0 reach 0 impact
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Learner mlr.regr.ksvm from package(s) kernlab.
1 runs0 likes0 downloads0 reach0 impact
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.5757, kappa: 0.4637, kb_relative_information_score: 0.4448, mean_absolute_error: 0.2157, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5989, predictive_accuracy: 0.572, prior_entropy: 2.2621, recall: 0.572, relative_absolute_error: 0.6885, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3274, root_relative_squared_error: 0.8274,