OpenML
Supervised Classification on trains

Supervised Classification on trains

Task 51 Supervised Classification trains 693 runs submitted
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  • basic study_1 study_107 study_123 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142, scimark_benchmark: 935.9641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.36, f_measure: 0.5833, kappa: 0.2, kb_relative_information_score: -0.1299, mean_absolute_error: 0.5233, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.619, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 1.0466, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6439, root_relative_squared_error: 1.2878, scimark_benchmark: 936.3885,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.52, f_measure: 0.5833, kappa: 0.2, kb_relative_information_score: 1.1473, mean_absolute_error: 0.4487, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.619, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.8974, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.513, root_relative_squared_error: 1.026, scimark_benchmark: 925.6269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142, scimark_benchmark: 934.5414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.68, f_measure: 0.6, kappa: 0.2, kb_relative_information_score: 1.7955, mean_absolute_error: 0.41, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.6, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.82, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.507, root_relative_squared_error: 1.0139, scimark_benchmark: 941.2133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.68, f_measure: 0.4949, kb_relative_information_score: 1.3244, mean_absolute_error: 0.4375, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.875, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5021, root_relative_squared_error: 1.0043, scimark_benchmark: 944.5749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.56, f_measure: 0.4949, kb_relative_information_score: 0.2556, mean_absolute_error: 0.4838, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.9675, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6857, root_relative_squared_error: 1.3714, scimark_benchmark: 941.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 3.4605, mean_absolute_error: 0.3295, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.659, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9108, scimark_benchmark: 945.9147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.76, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 2.8481, mean_absolute_error: 0.3545, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.7089, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5158, root_relative_squared_error: 1.0316, scimark_benchmark: 938.5898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.4949, kb_relative_information_score: 0.8482, mean_absolute_error: 0.4549, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.9098, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5368, root_relative_squared_error: 1.0736, scimark_benchmark: 938.8863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.52, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -0.1441, mean_absolute_error: 0.5047, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.0093, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5704, root_relative_squared_error: 1.1408, scimark_benchmark: 945.0844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.72, f_measure: 0.6, kappa: 0.2, kb_relative_information_score: 1.5076, mean_absolute_error: 0.4299, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.6, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.8599, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5061, root_relative_squared_error: 1.0122, scimark_benchmark: 943.0991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.48, f_measure: 0.4949, kb_relative_information_score: -0.548, mean_absolute_error: 0.5275, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1.055, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6147, root_relative_squared_error: 1.2295, scimark_benchmark: 911.0188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.36, f_measure: 0.375, kappa: -0.2, kb_relative_information_score: -2.7776, mean_absolute_error: 0.6417, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.381, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.2833, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7857, root_relative_squared_error: 1.5714, scimark_benchmark: 925.3925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.5833, kappa: 0.2, kb_relative_information_score: 2, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.619, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2649, scimark_benchmark: 945.6957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.46, f_measure: 0.4949, kb_relative_information_score: -0.7157, mean_absolute_error: 0.5391, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1.0782, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7178, root_relative_squared_error: 1.4357, scimark_benchmark: 945.9273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.48, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 3.8514, mean_absolute_error: 0.3099, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.6199, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5481, root_relative_squared_error: 1.0962, scimark_benchmark: 920.4672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 4, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.6, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.0954, scimark_benchmark: 914.9358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.899, kappa: 0.8, kb_relative_information_score: 3.1267, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.9167, predictive_accuracy: 0.9, prior_entropy: 1, recall: 0.9, relative_absolute_error: 0.752, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.8731, scimark_benchmark: 946.7128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.46, f_measure: 0.4949, kb_relative_information_score: -0.7157, mean_absolute_error: 0.5391, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1.0782, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7178, root_relative_squared_error: 1.4357, scimark_benchmark: 932.6706,
0 likes - 0 downloads - 0 reach - kappa: -1, kb_relative_information_score: -3.0005, mean_absolute_error: 0.6235, mean_prior_absolute_error: 0.5, number_of_instances: 10, prior_entropy: 1, relative_absolute_error: 1.2471, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6321, root_relative_squared_error: 1.2642, scimark_benchmark: 894.0061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.54, f_measure: 0.6, kappa: 0.2, kb_relative_information_score: 1.7684, mean_absolute_error: 0.4151, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.6, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.8303, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6197, root_relative_squared_error: 1.2394, scimark_benchmark: 918.4378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 4, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.6, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.0954, scimark_benchmark: 937.5017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.62, f_measure: 0.6, kappa: 0.2, kb_relative_information_score: 2.1015, mean_absolute_error: 0.3946, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.6, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.7893, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5895, root_relative_squared_error: 1.1789, scimark_benchmark: 947.0316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.68, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 1.7299, mean_absolute_error: 0.4195, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.8391, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4766, root_relative_squared_error: 0.9532, scimark_benchmark: 947.7391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.56, f_measure: 0.4949, kb_relative_information_score: 1.0868, mean_absolute_error: 0.4517, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.9033, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5384, root_relative_squared_error: 1.0767, scimark_benchmark: 946.5554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.72, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 2.0522, mean_absolute_error: 0.4072, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.8143, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4616, root_relative_squared_error: 0.9232, scimark_benchmark: 945.2228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 4.2881, mean_absolute_error: 0.2894, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.5788, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.8057, scimark_benchmark: 564.4482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142, scimark_benchmark: 940.0828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.899, kappa: 0.8, kb_relative_information_score: 3.1761, mean_absolute_error: 0.3643, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.9167, predictive_accuracy: 0.9, prior_entropy: 1, recall: 0.9, relative_absolute_error: 0.7285, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4239, root_relative_squared_error: 0.8478, scimark_benchmark: 576.0385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.6, kappa: 0.2, kb_relative_information_score: 1.8233, mean_absolute_error: 0.41, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.6, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.82, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.566, root_relative_squared_error: 1.132, scimark_benchmark: 935.1613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.8, kappa: 0.6, kb_relative_information_score: 6, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.4, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8944, scimark_benchmark: 930.9878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.5833, kappa: 0.2, kb_relative_information_score: 2, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.619, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2649, scimark_benchmark: 943.3127,
0 likes - 0 downloads - 0 reach - kappa: -1, kb_relative_information_score: -6.608, mean_absolute_error: 0.8222, mean_prior_absolute_error: 0.5, number_of_instances: 10, prior_entropy: 1, relative_absolute_error: 1.6444, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.8506, root_relative_squared_error: 1.7011, scimark_benchmark: 941.7627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.82, f_measure: 0.899, kappa: 0.8, kb_relative_information_score: 7.0966, mean_absolute_error: 0.1531, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.9167, predictive_accuracy: 0.9, prior_entropy: 1, recall: 0.9, relative_absolute_error: 0.3062, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3386, root_relative_squared_error: 0.6772, scimark_benchmark: 942.1497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.52, f_measure: 0.2857, kappa: -0.2, kb_relative_information_score: -0.0094, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.2222, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 0.9939, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5247, root_relative_squared_error: 1.0494, scimark_benchmark: 936.3351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 4.2881, mean_absolute_error: 0.2894, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.5788, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.8057, scimark_benchmark: 947.8596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.4949, kb_relative_information_score: 0.7045, mean_absolute_error: 0.4619, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.9238, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5388, root_relative_squared_error: 1.0776, scimark_benchmark: 942.4711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.56, f_measure: 0.4949, kb_relative_information_score: 0.2556, mean_absolute_error: 0.4838, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.9675, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6857, root_relative_squared_error: 1.3714, scimark_benchmark: 939.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.62, f_measure: 0.6, kappa: 0.2, kb_relative_information_score: 1.1807, mean_absolute_error: 0.4517, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.6, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.9033, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5394, root_relative_squared_error: 1.0789, scimark_benchmark: 944.6591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.48, f_measure: 0.4505, kb_relative_information_score: 0.0651, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.9938, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5196, root_relative_squared_error: 1.0392, scimark_benchmark: 944.3732,
0 likes - 0 downloads - 0 reach - kappa: -1, kb_relative_information_score: -3.0005, mean_absolute_error: 0.6235, mean_prior_absolute_error: 0.5, number_of_instances: 10, prior_entropy: 1, relative_absolute_error: 1.2471, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6321, root_relative_squared_error: 1.2642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142, scimark_benchmark: 921.5666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.899, kappa: 0.8, kb_relative_information_score: 6.3904, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.9167, predictive_accuracy: 0.9, prior_entropy: 1, recall: 0.9, relative_absolute_error: 0.4, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.6928, scimark_benchmark: 947.7153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.375, kappa: -0.2, kb_relative_information_score: 1.1872, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.381, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 0.8779, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5271, root_relative_squared_error: 1.0542, scimark_benchmark: 919.2284,
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0 likes - 0 downloads - 0 reach - kappa: -1, kb_relative_information_score: -10, mean_absolute_error: 1, mean_prior_absolute_error: 0.5, number_of_instances: 10, prior_entropy: 1, relative_absolute_error: 2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 1, root_relative_squared_error: 2, scimark_benchmark: 946.62,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs