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: 0.8942, f_measure: 0.8126, kappa: 0.6157, kb_relative_information_score: 21504.8355, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8125, predictive_accuracy: 0.8131, prior_entropy: 0.9835, recall: 0.8131, relative_absolute_error: 0.5527, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.73, scimark_benchmark: 1707.3649, usercpu_time_millis: 608.996, usercpu_time_millis_testing: 21.278, usercpu_time_millis_training: 587.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.884, f_measure: 0.8056, kappa: 0.6011, kb_relative_information_score: 20401.0333, mean_absolute_error: 0.2831, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8055, predictive_accuracy: 0.8062, prior_entropy: 0.9835, recall: 0.8062, relative_absolute_error: 0.5793, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.7457, scimark_benchmark: 1732.1674, usercpu_time_millis: 358.623, usercpu_time_millis_testing: 16.615, usercpu_time_millis_training: 342.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.881, f_measure: 0.8058, kappa: 0.6016, kb_relative_information_score: 20143.7337, mean_absolute_error: 0.286, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8056, predictive_accuracy: 0.8063, prior_entropy: 0.9835, recall: 0.8063, relative_absolute_error: 0.5853, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.7501, scimark_benchmark: 1724.8648, usercpu_time_millis: 358.778, usercpu_time_millis_testing: 14.709, usercpu_time_millis_training: 344.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.7962, kappa: 0.5823, kb_relative_information_score: 18876.4546, mean_absolute_error: 0.3003, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.796, predictive_accuracy: 0.7965, prior_entropy: 0.9835, recall: 0.7965, relative_absolute_error: 0.6147, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.38, root_relative_squared_error: 0.7689, scimark_benchmark: 1736.621, usercpu_time_millis: 286.464, usercpu_time_millis_testing: 13.984, usercpu_time_millis_training: 272.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.7793, kappa: 0.546, kb_relative_information_score: 17428.3721, mean_absolute_error: 0.3175, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7906, predictive_accuracy: 0.785, prior_entropy: 0.9835, recall: 0.785, relative_absolute_error: 0.6499, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3832, root_relative_squared_error: 0.7753, scimark_benchmark: 1713.4936, usercpu_time_millis: 190.452, usercpu_time_millis_testing: 11.019, usercpu_time_millis_training: 179.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.8039, kappa: 0.5978, kb_relative_information_score: 19930.3479, mean_absolute_error: 0.2885, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8038, predictive_accuracy: 0.8045, prior_entropy: 0.9835, recall: 0.8045, relative_absolute_error: 0.5904, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3721, root_relative_squared_error: 0.7529, scimark_benchmark: 1732.1674, usercpu_time_millis: 172.878, usercpu_time_millis_testing: 6.375, usercpu_time_millis_training: 166.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9253, kappa: 0.847, kb_relative_information_score: 33526.8114, mean_absolute_error: 0.1384, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9252, predictive_accuracy: 0.9253, prior_entropy: 0.9835, recall: 0.9253, relative_absolute_error: 0.2832, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2405, root_relative_squared_error: 0.4866, scimark_benchmark: 1733.3606, usercpu_time_millis: 161.043, usercpu_time_millis_testing: 3.075, usercpu_time_millis_training: 157.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -1.4244, 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: 1724.8648, usercpu_time_millis: 94.078, usercpu_time_millis_testing: 6.295, usercpu_time_millis_training: 87.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.7704, kappa: 0.5279, kb_relative_information_score: 16902.1744, mean_absolute_error: 0.3233, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7821, predictive_accuracy: 0.7766, prior_entropy: 0.9835, recall: 0.7766, relative_absolute_error: 0.6617, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3888, root_relative_squared_error: 0.7866, scimark_benchmark: 1717.8303, usercpu_time_millis: 81.938, usercpu_time_millis_testing: 3.294, usercpu_time_millis_training: 78.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9206, f_measure: 0.8374, kappa: 0.6661, kb_relative_information_score: 22923.6643, mean_absolute_error: 0.257, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8376, predictive_accuracy: 0.8381, prior_entropy: 0.9835, recall: 0.8381, relative_absolute_error: 0.5259, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3393, root_relative_squared_error: 0.6864, scimark_benchmark: 1731.5003, usercpu_time_millis: 70.011, usercpu_time_millis_testing: 3.491, usercpu_time_millis_training: 66.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.8234, kappa: 0.6367, kb_relative_information_score: 19011.2476, mean_absolute_error: 0.3038, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8258, predictive_accuracy: 0.8252, prior_entropy: 0.9835, recall: 0.8252, relative_absolute_error: 0.6218, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.7307, scimark_benchmark: 1731.6277, usercpu_time_millis: 60.379, usercpu_time_millis_testing: 5.854, usercpu_time_millis_training: 54.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.8226, kappa: 0.635, kb_relative_information_score: 18881.4841, mean_absolute_error: 0.3053, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8249, predictive_accuracy: 0.8244, prior_entropy: 0.9835, recall: 0.8244, relative_absolute_error: 0.6248, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.7322, scimark_benchmark: 1732.4995, usercpu_time_millis: 54.96, usercpu_time_millis_testing: 3.937, usercpu_time_millis_training: 51.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.7491, kappa: 0.4851, kb_relative_information_score: 14044.842, mean_absolute_error: 0.3547, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7661, predictive_accuracy: 0.758, prior_entropy: 0.9835, recall: 0.758, relative_absolute_error: 0.7259, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.8368, scimark_benchmark: 1724.0704, usercpu_time_millis: 44.6, usercpu_time_millis_testing: 3.516, usercpu_time_millis_training: 41.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -0.568, 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: 1738.3274, usercpu_time_millis: 18.124, usercpu_time_millis_testing: 1.582, usercpu_time_millis_training: 16.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.8207, kappa: 0.6319, kb_relative_information_score: 21246.4059, mean_absolute_error: 0.2748, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8211, predictive_accuracy: 0.8217, prior_entropy: 0.9835, recall: 0.8217, relative_absolute_error: 0.5625, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3557, root_relative_squared_error: 0.7197, scimark_benchmark: 1733.3606, usercpu_time_millis: 427.489, usercpu_time_millis_testing: 24.925, usercpu_time_millis_training: 402.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.8535, kappa: 0.6996, kb_relative_information_score: 25318.6966, mean_absolute_error: 0.2293, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8535, predictive_accuracy: 0.8538, prior_entropy: 0.9835, recall: 0.8538, relative_absolute_error: 0.4694, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3219, root_relative_squared_error: 0.6512, scimark_benchmark: 1736.0521, usercpu_time_millis: 370.348, usercpu_time_millis_testing: 15.302, usercpu_time_millis_training: 355.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.7889, kappa: 0.5657, kb_relative_information_score: 17990.629, mean_absolute_error: 0.3105, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.792, predictive_accuracy: 0.7916, prior_entropy: 0.9835, recall: 0.7916, relative_absolute_error: 0.6355, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.7742, scimark_benchmark: 1714.6607, usercpu_time_millis: 236.562, usercpu_time_millis_testing: 15.423, usercpu_time_millis_training: 221.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8761, f_measure: 0.7843, kappa: 0.5563, kb_relative_information_score: 17164.5162, mean_absolute_error: 0.3212, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7944, predictive_accuracy: 0.7895, prior_entropy: 0.9835, recall: 0.7895, relative_absolute_error: 0.6575, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3823, root_relative_squared_error: 0.7734, scimark_benchmark: 1735.6568, usercpu_time_millis: 163.683, usercpu_time_millis_testing: 17.375, usercpu_time_millis_training: 146.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.815, kappa: 0.6203, kb_relative_information_score: 21035.8141, mean_absolute_error: 0.2764, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.815, predictive_accuracy: 0.8156, prior_entropy: 0.9835, recall: 0.8156, relative_absolute_error: 0.5657, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.7296, scimark_benchmark: 1714.7312, usercpu_time_millis: 146.742, usercpu_time_millis_testing: 5.682, usercpu_time_millis_training: 141.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.8888, kappa: 0.7721, kb_relative_information_score: 28772.7223, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8887, predictive_accuracy: 0.8889, prior_entropy: 0.9835, recall: 0.8889, relative_absolute_error: 0.3929, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2878, root_relative_squared_error: 0.5823, scimark_benchmark: 1743.5755, usercpu_time_millis: 82.88, usercpu_time_millis_testing: 2.24, usercpu_time_millis_training: 80.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.8399, kappa: 0.6716, kb_relative_information_score: 23825.2987, mean_absolute_error: 0.2452, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8399, predictive_accuracy: 0.8403, prior_entropy: 0.9835, recall: 0.8403, relative_absolute_error: 0.5019, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.6815, scimark_benchmark: 1733.7627, usercpu_time_millis: 76.997, usercpu_time_millis_testing: 1.695, usercpu_time_millis_training: 75.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.9208, kappa: 0.8379, kb_relative_information_score: 32797.6254, mean_absolute_error: 0.1469, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9208, predictive_accuracy: 0.9209, prior_entropy: 0.9835, recall: 0.9209, relative_absolute_error: 0.3007, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2473, root_relative_squared_error: 0.5004, scimark_benchmark: 1728.9285, usercpu_time_millis: 72.759, usercpu_time_millis_testing: 1.582, usercpu_time_millis_training: 71.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, f_measure: 0.7525, kappa: 0.4931, kb_relative_information_score: 9622.0448, mean_absolute_error: 0.4039, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7756, predictive_accuracy: 0.7629, prior_entropy: 0.9835, recall: 0.7629, relative_absolute_error: 0.8265, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.8638, scimark_benchmark: 1726.9824, usercpu_time_millis: 49.685, usercpu_time_millis_testing: 5.85, usercpu_time_millis_training: 43.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 0.8172, 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: 1730.1287, usercpu_time_millis: 35.3, usercpu_time_millis_testing: 5.939, usercpu_time_millis_training: 29.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7963, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 13329.3027, mean_absolute_error: 0.3643, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7651, predictive_accuracy: 0.7574, prior_entropy: 0.9835, recall: 0.7574, relative_absolute_error: 0.7456, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4235, root_relative_squared_error: 0.8567, scimark_benchmark: 1740.1131, usercpu_time_millis: 30.156, usercpu_time_millis_testing: 1.774, usercpu_time_millis_training: 28.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: -0.045, 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: 1730.591, usercpu_time_millis: 17.88, usercpu_time_millis_testing: 3.17, usercpu_time_millis_training: 14.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.7981, kappa: 0.5846, kb_relative_information_score: 17301.0992, mean_absolute_error: 0.3188, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8003, predictive_accuracy: 0.8002, prior_entropy: 0.9835, recall: 0.8002, relative_absolute_error: 0.6524, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3814, root_relative_squared_error: 0.7717, scimark_benchmark: 1738.7316, usercpu_time_millis: 1.943, usercpu_time_millis_testing: 0.125, usercpu_time_millis_training: 1.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9186, f_measure: 0.8349, kappa: 0.6611, kb_relative_information_score: 23328.768, mean_absolute_error: 0.2512, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8349, predictive_accuracy: 0.8354, prior_entropy: 0.9835, recall: 0.8354, relative_absolute_error: 0.5141, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3398, root_relative_squared_error: 0.6874, scimark_benchmark: 1786.0601, usercpu_time_millis: 399.706, usercpu_time_millis_testing: 21.82, usercpu_time_millis_training: 377.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.8138, kappa: 0.617, kb_relative_information_score: 19930.0093, mean_absolute_error: 0.2898, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8157, predictive_accuracy: 0.8155, prior_entropy: 0.9835, recall: 0.8155, relative_absolute_error: 0.5932, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.7377, scimark_benchmark: 1717.2815, usercpu_time_millis: 204.408, usercpu_time_millis_testing: 19.563, usercpu_time_millis_training: 184.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.7917, kappa: 0.5721, kb_relative_information_score: 18391.7139, mean_absolute_error: 0.3058, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.792, predictive_accuracy: 0.7928, prior_entropy: 0.9835, recall: 0.7928, relative_absolute_error: 0.6258, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.7713, scimark_benchmark: 1784.8509, usercpu_time_millis: 169.75, usercpu_time_millis_testing: 10.506, usercpu_time_millis_training: 159.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.85, f_measure: 0.7568, kappa: 0.5011, kb_relative_information_score: 13711.8372, mean_absolute_error: 0.3602, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7752, predictive_accuracy: 0.7657, prior_entropy: 0.9835, recall: 0.7657, relative_absolute_error: 0.7372, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4048, root_relative_squared_error: 0.819, scimark_benchmark: 1774.718, usercpu_time_millis: 115.265, usercpu_time_millis_testing: 9.548, usercpu_time_millis_training: 105.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, f_measure: 0.7681, kappa: 0.523, kb_relative_information_score: 16917.4447, mean_absolute_error: 0.3227, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7786, predictive_accuracy: 0.7741, prior_entropy: 0.9835, recall: 0.7741, relative_absolute_error: 0.6605, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3905, root_relative_squared_error: 0.7901, scimark_benchmark: 1732.4272, usercpu_time_millis: 98.874, usercpu_time_millis_testing: 6.584, usercpu_time_millis_training: 92.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: -0.254, 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: 1775.5489, usercpu_time_millis: 55.5, usercpu_time_millis_testing: 5.909, usercpu_time_millis_training: 49.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7957, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 13160.1815, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7651, predictive_accuracy: 0.7574, prior_entropy: 0.9835, recall: 0.7574, relative_absolute_error: 0.7496, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.8611, scimark_benchmark: 1788.0949, usercpu_time_millis: 53.986, usercpu_time_millis_testing: 4.724, usercpu_time_millis_training: 49.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.8922, kappa: 0.7791, kb_relative_information_score: 28559.7637, mean_absolute_error: 0.1956, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8921, predictive_accuracy: 0.8923, prior_entropy: 0.9835, recall: 0.8923, relative_absolute_error: 0.4003, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.286, root_relative_squared_error: 0.5787, scimark_benchmark: 1731.6001, usercpu_time_millis: 51.57, usercpu_time_millis_testing: 2.372, usercpu_time_millis_training: 49.198,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, f_measure: 0.7561, kappa: 0.4996, kb_relative_information_score: 12585.343, mean_absolute_error: 0.3725, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7745, predictive_accuracy: 0.765, prior_entropy: 0.9835, recall: 0.765, relative_absolute_error: 0.7624, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4112, root_relative_squared_error: 0.832, scimark_benchmark: 1732.8391, usercpu_time_millis: 47.44, usercpu_time_millis_testing: 5.028, usercpu_time_millis_training: 42.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8027, f_measure: 0.7435, kappa: 0.4759, kb_relative_information_score: 6611.4262, mean_absolute_error: 0.4328, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7722, predictive_accuracy: 0.756, prior_entropy: 0.9835, recall: 0.756, relative_absolute_error: 0.8858, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4467, root_relative_squared_error: 0.9038, scimark_benchmark: 1846.6923, usercpu_time_millis: 43.275, usercpu_time_millis_testing: 5.369, usercpu_time_millis_training: 37.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.8901, kappa: 0.7746, kb_relative_information_score: 28107.9591, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8901, predictive_accuracy: 0.8903, prior_entropy: 0.9835, recall: 0.8903, relative_absolute_error: 0.4118, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2885, root_relative_squared_error: 0.5836, scimark_benchmark: 1797.2977, usercpu_time_millis: 36.071, usercpu_time_millis_testing: 2.051, usercpu_time_millis_training: 34.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 0.1608, 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: 1799.0797, usercpu_time_millis: 30.736, usercpu_time_millis_testing: 5.152, usercpu_time_millis_training: 25.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.7888, kappa: 0.5655, kb_relative_information_score: 18085.7307, mean_absolute_error: 0.3094, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7915, predictive_accuracy: 0.7914, prior_entropy: 0.9835, recall: 0.7914, relative_absolute_error: 0.6332, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.382, root_relative_squared_error: 0.7728, scimark_benchmark: 1850.2875, usercpu_time_millis: 32.383, usercpu_time_millis_testing: 1.503, usercpu_time_millis_training: 30.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 1.3186, 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: 1798.6339, usercpu_time_millis: 21.053, usercpu_time_millis_testing: 3.277, usercpu_time_millis_training: 17.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.7909, kappa: 0.5702, kb_relative_information_score: 18197.509, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7916, predictive_accuracy: 0.7924, prior_entropy: 0.9835, recall: 0.7924, relative_absolute_error: 0.6303, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3825, root_relative_squared_error: 0.7738, scimark_benchmark: 1858.6775, usercpu_time_millis: 17.282, usercpu_time_millis_testing: 0.809, usercpu_time_millis_training: 16.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -5.4143, 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: 1.0001, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1807.9348, usercpu_time_millis: 1.977, usercpu_time_millis_testing: 0.218, usercpu_time_millis_training: 1.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.8293, kappa: 0.6496, kb_relative_information_score: 22528.1652, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8295, predictive_accuracy: 0.83, prior_entropy: 0.9835, recall: 0.83, relative_absolute_error: 0.5326, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.346, root_relative_squared_error: 0.7, scimark_benchmark: 1777.2023, usercpu_time_millis: 290.566, usercpu_time_millis_testing: 11.853, usercpu_time_millis_training: 278.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, f_measure: 0.8082, kappa: 0.6066, kb_relative_information_score: 20345.8594, mean_absolute_error: 0.2839, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8081, predictive_accuracy: 0.8088, prior_entropy: 0.9835, recall: 0.8088, relative_absolute_error: 0.581, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.7433, scimark_benchmark: 1710.754, usercpu_time_millis: 281.509, usercpu_time_millis_testing: 12.251, usercpu_time_millis_training: 269.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8656, f_measure: 0.7962, kappa: 0.5827, kb_relative_information_score: 19071.7591, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7961, predictive_accuracy: 0.7964, prior_entropy: 0.9835, recall: 0.7964, relative_absolute_error: 0.6098, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3805, root_relative_squared_error: 0.7697, scimark_benchmark: 1737.7837, usercpu_time_millis: 219.041, usercpu_time_millis_testing: 10.575, usercpu_time_millis_training: 208.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.8423, kappa: 0.6764, kb_relative_information_score: 23873.4446, mean_absolute_error: 0.2459, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8425, predictive_accuracy: 0.8429, prior_entropy: 0.9835, recall: 0.8429, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3332, root_relative_squared_error: 0.6742, scimark_benchmark: 1712.0056, usercpu_time_millis: 208.549, usercpu_time_millis_testing: 13.331, usercpu_time_millis_training: 195.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, f_measure: 0.7914, kappa: 0.5723, kb_relative_information_score: 18285.8152, mean_absolute_error: 0.3072, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7913, predictive_accuracy: 0.792, prior_entropy: 0.9835, recall: 0.792, relative_absolute_error: 0.6287, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.7783, scimark_benchmark: 1822.0057, usercpu_time_millis: 210.316, usercpu_time_millis_testing: 12.287, usercpu_time_millis_training: 198.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.8101, kappa: 0.6094, kb_relative_information_score: 19476.4609, mean_absolute_error: 0.2948, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8126, predictive_accuracy: 0.8122, prior_entropy: 0.9835, recall: 0.8122, relative_absolute_error: 0.6033, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.7447, scimark_benchmark: 1773.3446, usercpu_time_millis: 162.579, usercpu_time_millis_testing: 15.412, usercpu_time_millis_training: 147.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.8861, kappa: 0.7666, kb_relative_information_score: 28050.5914, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.886, predictive_accuracy: 0.8862, prior_entropy: 0.9835, recall: 0.8862, relative_absolute_error: 0.411, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2924, root_relative_squared_error: 0.5916, scimark_benchmark: 1823.4822, usercpu_time_millis: 131.85, usercpu_time_millis_testing: 6.279, usercpu_time_millis_training: 125.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.8783, kappa: 0.7504, kb_relative_information_score: 27145.6701, mean_absolute_error: 0.2107, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8784, predictive_accuracy: 0.8786, prior_entropy: 0.9835, recall: 0.8786, relative_absolute_error: 0.4312, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3003, root_relative_squared_error: 0.6075, scimark_benchmark: 1782.8363, usercpu_time_millis: 134.267, usercpu_time_millis_testing: 3.53, usercpu_time_millis_training: 130.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.8778, kappa: 0.7494, kb_relative_information_score: 26711.1111, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8779, predictive_accuracy: 0.8781, prior_entropy: 0.9835, recall: 0.8781, relative_absolute_error: 0.4443, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3007, root_relative_squared_error: 0.6083, scimark_benchmark: 1708.2638, usercpu_time_millis: 35.684, usercpu_time_millis_testing: 1.495, usercpu_time_millis_training: 34.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 0.69, 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: 1758.7867, usercpu_time_millis: 38.265, usercpu_time_millis_testing: 6.711, usercpu_time_millis_training: 31.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8772, f_measure: 0.789, kappa: 0.5657, kb_relative_information_score: 18010.4572, mean_absolute_error: 0.3109, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7971, predictive_accuracy: 0.7934, prior_entropy: 0.9835, recall: 0.7934, relative_absolute_error: 0.6364, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3792, root_relative_squared_error: 0.7672, scimark_benchmark: 1852.5406, usercpu_time_millis: 34.608, usercpu_time_millis_testing: 2.749, usercpu_time_millis_training: 31.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8293, kappa: 0.6498, kb_relative_information_score: 22860.5949, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8294, predictive_accuracy: 0.8299, prior_entropy: 0.9835, recall: 0.8299, relative_absolute_error: 0.523, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.346, root_relative_squared_error: 0.6999, scimark_benchmark: 1748.7596, usercpu_time_millis: 325.455, usercpu_time_millis_testing: 10.864, usercpu_time_millis_training: 314.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.8485, kappa: 0.6893, kb_relative_information_score: 24622.6127, mean_absolute_error: 0.2373, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8486, predictive_accuracy: 0.849, prior_entropy: 0.9835, recall: 0.849, relative_absolute_error: 0.4857, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3279, root_relative_squared_error: 0.6634, scimark_benchmark: 1718.6781, usercpu_time_millis: 277.437, usercpu_time_millis_testing: 17.726, usercpu_time_millis_training: 259.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, f_measure: 0.834, kappa: 0.6592, kb_relative_information_score: 23204.5091, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8341, predictive_accuracy: 0.8346, prior_entropy: 0.9835, recall: 0.8346, relative_absolute_error: 0.5163, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.691, scimark_benchmark: 1780.9809, usercpu_time_millis: 203.153, usercpu_time_millis_testing: 8.063, usercpu_time_millis_training: 195.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.7815, kappa: 0.5502, kb_relative_information_score: 17673.2636, mean_absolute_error: 0.3143, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7874, predictive_accuracy: 0.7854, prior_entropy: 0.9835, recall: 0.7854, relative_absolute_error: 0.6432, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3865, root_relative_squared_error: 0.782, scimark_benchmark: 1761.5375, usercpu_time_millis: 175.034, usercpu_time_millis_testing: 13.029, usercpu_time_millis_training: 162.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.8751, kappa: 0.7439, kb_relative_information_score: 26861.1079, mean_absolute_error: 0.2139, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8751, predictive_accuracy: 0.8754, prior_entropy: 0.9835, recall: 0.8754, relative_absolute_error: 0.4378, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3028, root_relative_squared_error: 0.6125, scimark_benchmark: 1732.5611, usercpu_time_millis: 159.753, usercpu_time_millis_testing: 7.42, usercpu_time_millis_training: 152.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.8848, kappa: 0.7641, kb_relative_information_score: 28400.6006, mean_absolute_error: 0.1956, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8848, predictive_accuracy: 0.885, prior_entropy: 0.9835, recall: 0.885, relative_absolute_error: 0.4004, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.5923, scimark_benchmark: 1740.8108, usercpu_time_millis: 147.985, usercpu_time_millis_testing: 3.269, usercpu_time_millis_training: 144.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9367, f_measure: 0.8579, kappa: 0.7087, kb_relative_information_score: 25553.562, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8579, predictive_accuracy: 0.8582, prior_entropy: 0.9835, recall: 0.8582, relative_absolute_error: 0.4649, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3191, root_relative_squared_error: 0.6456, scimark_benchmark: 1760.0721, usercpu_time_millis: 119.744, usercpu_time_millis_testing: 5.473, usercpu_time_millis_training: 114.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: -0.8303, 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: 1733.7613, usercpu_time_millis: 58.848, usercpu_time_millis_testing: 6.353, usercpu_time_millis_training: 52.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.8306, kappa: 0.652, kb_relative_information_score: 22091.9065, mean_absolute_error: 0.2661, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.831, predictive_accuracy: 0.8314, prior_entropy: 0.9835, recall: 0.8314, relative_absolute_error: 0.5446, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3468, root_relative_squared_error: 0.7015, scimark_benchmark: 1829.3791, usercpu_time_millis: 45.059, usercpu_time_millis_testing: 2.783, usercpu_time_millis_training: 42.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.8492, kappa: 0.6906, kb_relative_information_score: 24574.2495, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8494, predictive_accuracy: 0.8498, prior_entropy: 0.9835, recall: 0.8498, relative_absolute_error: 0.4878, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.659, scimark_benchmark: 1741.7315, usercpu_time_millis: 26.209, usercpu_time_millis_testing: 0.81, usercpu_time_millis_training: 25.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8071, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 15081.6955, mean_absolute_error: 0.3403, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7651, predictive_accuracy: 0.7574, prior_entropy: 0.9835, recall: 0.7574, relative_absolute_error: 0.6964, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8341, scimark_benchmark: 1742.8677, usercpu_time_millis: 17.092, usercpu_time_millis_testing: 0.88, usercpu_time_millis_training: 16.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: -7.5064, mean_absolute_error: 0.4887, 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: 1.0001, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1763.3162, usercpu_time_millis: 2.765, usercpu_time_millis_testing: 0.265, usercpu_time_millis_training: 2.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, f_measure: 0.8517, kappa: 0.6958, kb_relative_information_score: 24795.8306, mean_absolute_error: 0.236, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8518, predictive_accuracy: 0.8522, prior_entropy: 0.9835, recall: 0.8522, relative_absolute_error: 0.4829, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.6545, scimark_benchmark: 1699.5862, usercpu_time_millis: 612.212, usercpu_time_millis_testing: 16.396, usercpu_time_millis_training: 595.816,

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

OpenML bootcamp

From your own software

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

OpenML APIs