Task
Supervised Classification on electricity

Supervised Classification on electricity

Task 146012 Supervised Classification electricity 25374 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.7509, kappa: 0.4876, kb_relative_information_score: 14115.7582, mean_absolute_error: 0.3519, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7603, predictive_accuracy: 0.7572, prior_entropy: 0.9835, recall: 0.7572, relative_absolute_error: 0.7202, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.8271, scimark_benchmark: 1812.0833, usercpu_time_millis: 1.306, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 1.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.5234, kappa: 0.1294, kb_relative_information_score: 2949.256, mean_absolute_error: 0.4651, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7481, predictive_accuracy: 0.6233, prior_entropy: 0.9835, recall: 0.6233, relative_absolute_error: 0.952, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4726, root_relative_squared_error: 0.9561, scimark_benchmark: 1843.1261, usercpu_time_millis: 0.625, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 0.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1842.2127, usercpu_time_millis: 0.595, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 0.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 2044.4222, usercpu_time_millis: 0.549, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 0.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1848.916, usercpu_time_millis: 0.587, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 0.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1844.149, usercpu_time_millis: 0.602, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 0.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1851.4416, usercpu_time_millis: 0.596, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 0.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7975, f_measure: 0.6778, kappa: 0.3597, kb_relative_information_score: 5456.9467, mean_absolute_error: 0.4426, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7588, predictive_accuracy: 0.7107, prior_entropy: 0.9835, recall: 0.7107, relative_absolute_error: 0.9058, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4549, root_relative_squared_error: 0.9203, scimark_benchmark: 1848.321, usercpu_time_millis: 0.716, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 0.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1745.5953, usercpu_time_millis: 0.621, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 0.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1957.4577, usercpu_time_millis: 0.606, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 0.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1950.6612, usercpu_time_millis: 0.614, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 0.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.6876, kappa: 0.3762, kb_relative_information_score: 5791.5196, mean_absolute_error: 0.4395, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7603, predictive_accuracy: 0.7171, prior_entropy: 0.9835, recall: 0.7171, relative_absolute_error: 0.8996, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4526, root_relative_squared_error: 0.9157, scimark_benchmark: 1848.8462, usercpu_time_millis: 0.71, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 0.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8018, f_measure: 0.5734, kappa: 0.1989, kb_relative_information_score: 3627.6871, mean_absolute_error: 0.4594, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7516, predictive_accuracy: 0.6494, prior_entropy: 0.9835, recall: 0.6494, relative_absolute_error: 0.9402, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4677, root_relative_squared_error: 0.9463, scimark_benchmark: 1837.622, usercpu_time_millis: 0.729, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 0.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1924.331, usercpu_time_millis: 0.591, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 0.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7979, f_measure: 0.7177, kappa: 0.4204, kb_relative_information_score: 10687.5196, mean_absolute_error: 0.3844, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7317, predictive_accuracy: 0.7275, prior_entropy: 0.9835, recall: 0.7275, relative_absolute_error: 0.7868, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4345, root_relative_squared_error: 0.879, scimark_benchmark: 1853.9121, usercpu_time_millis: 4795.822, usercpu_time_millis_testing: 37.504, usercpu_time_millis_training: 4758.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1902.1304, usercpu_time_millis: 0.602, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 0.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.7166, kappa: 0.4268, kb_relative_information_score: 7049.7428, mean_absolute_error: 0.4276, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7657, predictive_accuracy: 0.7368, prior_entropy: 0.9835, recall: 0.7368, relative_absolute_error: 0.8751, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4445, root_relative_squared_error: 0.8993, scimark_benchmark: 1912.0224, usercpu_time_millis: 1.103, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 1.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1852.9259, usercpu_time_millis: 0.625, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 0.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.7485, kappa: 0.4834, kb_relative_information_score: 12214.6078, mean_absolute_error: 0.3736, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7625, predictive_accuracy: 0.7565, prior_entropy: 0.9835, recall: 0.7565, relative_absolute_error: 0.7646, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.8435, scimark_benchmark: 1885.6436, usercpu_time_millis: 1.065, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 0.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1808.9143, usercpu_time_millis: 0.61, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 0.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8132, f_measure: 0.7411, kappa: 0.469, kb_relative_information_score: 10710.7782, mean_absolute_error: 0.3896, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.759, predictive_accuracy: 0.7508, prior_entropy: 0.9835, recall: 0.7508, relative_absolute_error: 0.7973, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8565, scimark_benchmark: 1838.7663, usercpu_time_millis: 0.947, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 0.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7871, f_measure: 0.6829, kappa: 0.3651, kb_relative_information_score: 5653.0337, mean_absolute_error: 0.4402, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7479, predictive_accuracy: 0.7114, prior_entropy: 0.9835, recall: 0.7114, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9182, scimark_benchmark: 1858.1494, usercpu_time_millis: 0.721, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 0.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1857.1082, usercpu_time_millis: 0.603, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 0.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.5109, kappa: 0.1126, kb_relative_information_score: 2737.4669, mean_absolute_error: 0.4668, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.746, predictive_accuracy: 0.617, prior_entropy: 0.9835, recall: 0.617, relative_absolute_error: 0.9553, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.474, root_relative_squared_error: 0.959, scimark_benchmark: 1853.9121, usercpu_time_millis: 0.633, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 0.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7979, f_measure: 0.4463, kappa: 0.0312, kb_relative_information_score: 1598.7682, mean_absolute_error: 0.4763, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.751, predictive_accuracy: 0.587, prior_entropy: 0.9835, recall: 0.587, relative_absolute_error: 0.9749, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4825, root_relative_squared_error: 0.9763, scimark_benchmark: 1845.3975, usercpu_time_millis: 0.673, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 0.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, f_measure: 0.7324, kappa: 0.4538, kb_relative_information_score: 8557.8253, mean_absolute_error: 0.4123, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7628, predictive_accuracy: 0.7463, prior_entropy: 0.9835, recall: 0.7463, relative_absolute_error: 0.8437, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4357, root_relative_squared_error: 0.8815, scimark_benchmark: 1845.264, usercpu_time_millis: 0.681, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 0.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1847.8629, usercpu_time_millis: 0.587, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 0.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1842.5822, usercpu_time_millis: 0.6, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 0.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.7522, kappa: 0.4902, kb_relative_information_score: 14941.9191, mean_absolute_error: 0.3423, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7602, predictive_accuracy: 0.758, prior_entropy: 0.9835, recall: 0.758, relative_absolute_error: 0.7006, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.823, scimark_benchmark: 1857.5664, usercpu_time_millis: 1.257, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 1.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.752, kappa: 0.4899, kb_relative_information_score: 13998.5353, mean_absolute_error: 0.3535, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7621, predictive_accuracy: 0.7585, prior_entropy: 0.9835, recall: 0.7585, relative_absolute_error: 0.7235, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.41, root_relative_squared_error: 0.8295, scimark_benchmark: 2019.8578, usercpu_time_millis: 0.809, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 0.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8006, f_measure: 0.7062, kappa: 0.4085, kb_relative_information_score: 6509.8211, mean_absolute_error: 0.4328, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7643, predictive_accuracy: 0.7297, prior_entropy: 0.9835, recall: 0.7297, relative_absolute_error: 0.8858, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.9062, scimark_benchmark: 1849.7595, usercpu_time_millis: 0.635, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 0.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.764, f_measure: 0.5475, kappa: 0.1578, kb_relative_information_score: 3103.7994, mean_absolute_error: 0.4629, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7257, predictive_accuracy: 0.6328, prior_entropy: 0.9835, recall: 0.6328, relative_absolute_error: 0.9475, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4713, root_relative_squared_error: 0.9535, scimark_benchmark: 1852.355, usercpu_time_millis: 0.767, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 0.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1847.7442, usercpu_time_millis: 0.634, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 0.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7965, f_measure: 0.4274, kappa: 0.0084, kb_relative_information_score: 774.6672, mean_absolute_error: 0.4828, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7537, predictive_accuracy: 0.5785, prior_entropy: 0.9835, recall: 0.5785, relative_absolute_error: 0.9881, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4886, root_relative_squared_error: 0.9885, scimark_benchmark: 1854.9533, usercpu_time_millis: 0.618, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 0.541,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.7523, kappa: 0.4904, kb_relative_information_score: 14948.6516, mean_absolute_error: 0.3422, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7602, predictive_accuracy: 0.758, prior_entropy: 0.9835, recall: 0.758, relative_absolute_error: 0.7004, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.823, scimark_benchmark: 1849.3014, usercpu_time_millis: 1.436, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 1.355,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8182, f_measure: 0.7512, kappa: 0.4884, kb_relative_information_score: 13466.9391, mean_absolute_error: 0.3596, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7623, predictive_accuracy: 0.7581, prior_entropy: 0.9835, recall: 0.7581, relative_absolute_error: 0.736, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4117, root_relative_squared_error: 0.8329, scimark_benchmark: 1885.2374, usercpu_time_millis: 0.872, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 0.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1218.3728, usercpu_time_millis: 1.04, usercpu_time_millis_testing: 0.144, usercpu_time_millis_training: 0.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8147, f_measure: 0.7459, kappa: 0.4783, kb_relative_information_score: 11787.3903, mean_absolute_error: 0.3782, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7613, predictive_accuracy: 0.7545, prior_entropy: 0.9835, recall: 0.7545, relative_absolute_error: 0.7741, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.8463, scimark_benchmark: 1837.6486, usercpu_time_millis: 0.872, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 0.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1852.5406, usercpu_time_millis: 0.562, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 0.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.6981, kappa: 0.394, kb_relative_information_score: 6176.9833, mean_absolute_error: 0.4358, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7613, predictive_accuracy: 0.7239, prior_entropy: 0.9835, recall: 0.7239, relative_absolute_error: 0.892, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4501, root_relative_squared_error: 0.9106, scimark_benchmark: 1854.4951, usercpu_time_millis: 0.654, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 0.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1853.3841, usercpu_time_millis: 0.593, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 0.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8192, f_measure: 0.7477, kappa: 0.4817, kb_relative_information_score: 12294.9883, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7614, predictive_accuracy: 0.7557, prior_entropy: 0.9835, recall: 0.7557, relative_absolute_error: 0.7625, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.8408, scimark_benchmark: 1833.6579, usercpu_time_millis: 0.996, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 0.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8084, f_measure: 0.7256, kappa: 0.437, kb_relative_information_score: 13865.599, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7252, predictive_accuracy: 0.7265, prior_entropy: 0.9835, recall: 0.7265, relative_absolute_error: 0.7186, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4162, root_relative_squared_error: 0.842, scimark_benchmark: 1856.7258, usercpu_time_millis: 137.399, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 137.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.7116, kappa: 0.4129, kb_relative_information_score: 7481.2894, mean_absolute_error: 0.4221, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7447, predictive_accuracy: 0.7282, prior_entropy: 0.9835, recall: 0.7282, relative_absolute_error: 0.8639, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4422, root_relative_squared_error: 0.8947, scimark_benchmark: 1848.2289, usercpu_time_millis: 0.899, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 0.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8515, f_measure: 0.7782, kappa: 0.5434, kb_relative_information_score: 17975.0349, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7821, predictive_accuracy: 0.7815, prior_entropy: 0.9835, recall: 0.7815, relative_absolute_error: 0.6321, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3912, root_relative_squared_error: 0.7916, scimark_benchmark: 1851.8567, usercpu_time_millis: 4925.538, usercpu_time_millis_testing: 25.65, usercpu_time_millis_training: 4899.888,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.7545, kappa: 0.4948, kb_relative_information_score: 15576.5038, mean_absolute_error: 0.3347, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7611, predictive_accuracy: 0.7596, prior_entropy: 0.9835, recall: 0.7596, relative_absolute_error: 0.685, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8209, scimark_benchmark: 1766.0282, usercpu_time_millis: 1.303, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 1.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8018, f_measure: 0.7331, kappa: 0.456, kb_relative_information_score: 8401.8285, mean_absolute_error: 0.4142, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7663, predictive_accuracy: 0.7477, prior_entropy: 0.9835, recall: 0.7477, relative_absolute_error: 0.8476, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.883, scimark_benchmark: 1852.9259, usercpu_time_millis: 0.66, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 0.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1846.6923, usercpu_time_millis: 0.602, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 0.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8075, f_measure: 0.7438, kappa: 0.4745, kb_relative_information_score: 10880.7338, mean_absolute_error: 0.3879, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7618, predictive_accuracy: 0.7534, prior_entropy: 0.9835, recall: 0.7534, relative_absolute_error: 0.794, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8564, scimark_benchmark: 1131.1616, usercpu_time_millis: 1.304, usercpu_time_millis_testing: 0.156, usercpu_time_millis_training: 1.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1763.717, usercpu_time_millis: 0.707, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 0.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1854.4951, usercpu_time_millis: 0.573, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 0.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1841.6904, usercpu_time_millis: 0.594, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 0.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.7543, kappa: 0.4943, kb_relative_information_score: 15484.7476, mean_absolute_error: 0.3358, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7611, predictive_accuracy: 0.7595, prior_entropy: 0.9835, recall: 0.7595, relative_absolute_error: 0.6873, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.8211, scimark_benchmark: 1857.5664, usercpu_time_millis: 1.27, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 1.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, f_measure: 0.5867, kappa: 0.2168, kb_relative_information_score: 3780.5984, mean_absolute_error: 0.4578, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7466, predictive_accuracy: 0.6558, prior_entropy: 0.9835, recall: 0.6558, relative_absolute_error: 0.937, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4665, root_relative_squared_error: 0.9438, scimark_benchmark: 1853.3841, usercpu_time_millis: 0.652, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 0.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7749, f_measure: 0.4265, kappa: 0.0073, kb_relative_information_score: 636.1545, mean_absolute_error: 0.4839, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7532, predictive_accuracy: 0.5781, prior_entropy: 0.9835, recall: 0.5781, relative_absolute_error: 0.9903, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4896, root_relative_squared_error: 0.9906, scimark_benchmark: 1834.9568, usercpu_time_millis: 0.67, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 0.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1767.1541, usercpu_time_millis: 0.62, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 0.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1763.7215, usercpu_time_millis: 0.61, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 0.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1857.0384, usercpu_time_millis: 0.612, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 0.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8163, f_measure: 0.745, kappa: 0.4764, kb_relative_information_score: 11508.4908, mean_absolute_error: 0.3811, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7608, predictive_accuracy: 0.7538, prior_entropy: 0.9835, recall: 0.7538, relative_absolute_error: 0.78, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4193, root_relative_squared_error: 0.8483, scimark_benchmark: 1850.2875, usercpu_time_millis: 0.89, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 0.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1908.4842, usercpu_time_millis: 0.628, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 0.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1805.1375, usercpu_time_millis: 0.6, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 0.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1850.2875, usercpu_time_millis: 0.57, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 0.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, f_measure: 0.7533, kappa: 0.4924, kb_relative_information_score: 15114.4232, mean_absolute_error: 0.3404, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7612, predictive_accuracy: 0.759, prior_entropy: 0.9835, recall: 0.759, relative_absolute_error: 0.6966, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.8226, scimark_benchmark: 1750.8423, usercpu_time_millis: 1.128, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 1.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1834.0312, usercpu_time_millis: 0.596, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 0.518,

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