Task
Supervised Classification on eeg-eye-state

Supervised Classification on eeg-eye-state

Task 14951 Supervised Classification eeg-eye-state 66579 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9143, kappa: 0.8265, kb_relative_information_score: 9299.1093, mean_absolute_error: 0.2086, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9148, predictive_accuracy: 0.9145, prior_entropy: 0.9924, recall: 0.9145, relative_absolute_error: 0.4216, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.276, root_relative_squared_error: 0.5549, scimark_benchmark: 1284.4578, usercpu_time_millis: 1487.32, usercpu_time_millis_testing: 46.606, usercpu_time_millis_training: 1440.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, f_measure: 0.8874, kappa: 0.7718, kb_relative_information_score: 7736.3212, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8887, predictive_accuracy: 0.8879, prior_entropy: 0.9924, recall: 0.8879, relative_absolute_error: 0.5323, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.315, root_relative_squared_error: 0.6333, scimark_benchmark: 1259.3225, usercpu_time_millis: 647.017, usercpu_time_millis_testing: 45.209, usercpu_time_millis_training: 601.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9189, kappa: 0.8357, kb_relative_information_score: 8488.1618, mean_absolute_error: 0.2404, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9198, predictive_accuracy: 0.9192, prior_entropy: 0.9924, recall: 0.9192, relative_absolute_error: 0.4858, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2886, root_relative_squared_error: 0.5803, scimark_benchmark: 1269.7789, usercpu_time_millis: 247.773, usercpu_time_millis_testing: 19.926, usercpu_time_millis_training: 227.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9136, kappa: 0.825, kb_relative_information_score: 7871.8001, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9153, predictive_accuracy: 0.914, prior_entropy: 0.9924, recall: 0.914, relative_absolute_error: 0.5296, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.304, root_relative_squared_error: 0.6113, scimark_benchmark: 1283.7869, usercpu_time_millis: 65.775, usercpu_time_millis_testing: 6.698, usercpu_time_millis_training: 59.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.921, kappa: 0.84, kb_relative_information_score: 9277.2933, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9215, predictive_accuracy: 0.9212, prior_entropy: 0.9924, recall: 0.9212, relative_absolute_error: 0.4255, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2733, root_relative_squared_error: 0.5496, scimark_benchmark: 1273.3197, usercpu_time_millis: 989.237, usercpu_time_millis_testing: 40.127, usercpu_time_millis_training: 949.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.917, kappa: 0.8319, kb_relative_information_score: 9544.5898, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9174, predictive_accuracy: 0.9172, prior_entropy: 0.9924, recall: 0.9172, relative_absolute_error: 0.4035, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2702, root_relative_squared_error: 0.5432, scimark_benchmark: 1284.7089, usercpu_time_millis: 818.575, usercpu_time_millis_testing: 22.196, usercpu_time_millis_training: 796.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, f_measure: 0.8806, kappa: 0.758, kb_relative_information_score: 7725.2124, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8817, predictive_accuracy: 0.881, prior_entropy: 0.9924, recall: 0.881, relative_absolute_error: 0.5309, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3183, root_relative_squared_error: 0.6399, scimark_benchmark: 1261.1435, usercpu_time_millis: 299.396, usercpu_time_millis_testing: 17.14, usercpu_time_millis_training: 282.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.8764, kappa: 0.7495, kb_relative_information_score: 7266.886, mean_absolute_error: 0.2792, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.878, predictive_accuracy: 0.877, prior_entropy: 0.9924, recall: 0.877, relative_absolute_error: 0.5644, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.6578, scimark_benchmark: 1259.5628, usercpu_time_millis: 318.836, usercpu_time_millis_testing: 22.116, usercpu_time_millis_training: 296.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9113, kappa: 0.8203, kb_relative_information_score: 8190.8193, mean_absolute_error: 0.2503, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9125, predictive_accuracy: 0.9116, prior_entropy: 0.9924, recall: 0.9116, relative_absolute_error: 0.5059, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2972, root_relative_squared_error: 0.5976, scimark_benchmark: 1278.8487, usercpu_time_millis: 502.012, usercpu_time_millis_testing: 37.237, usercpu_time_millis_training: 464.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9285, kappa: 0.8552, kb_relative_information_score: 9788.5962, mean_absolute_error: 0.1924, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9289, predictive_accuracy: 0.9286, prior_entropy: 0.9924, recall: 0.9286, relative_absolute_error: 0.389, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2592, root_relative_squared_error: 0.5211, scimark_benchmark: 1275.6704, usercpu_time_millis: 896.59, usercpu_time_millis_testing: 25.959, usercpu_time_millis_training: 870.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.888, kappa: 0.7731, kb_relative_information_score: 8103.505, mean_absolute_error: 0.2496, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8889, predictive_accuracy: 0.8884, prior_entropy: 0.9924, recall: 0.8884, relative_absolute_error: 0.5046, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.6209, scimark_benchmark: 1251.8003, usercpu_time_millis: 339.933, usercpu_time_millis_testing: 16.448, usercpu_time_millis_training: 323.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9072, kappa: 0.812, kb_relative_information_score: 8219.6183, mean_absolute_error: 0.2485, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9083, predictive_accuracy: 0.9075, prior_entropy: 0.9924, recall: 0.9075, relative_absolute_error: 0.5023, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2983, root_relative_squared_error: 0.5998, scimark_benchmark: 1261.8738, usercpu_time_millis: 318.48, usercpu_time_millis_testing: 21.314, usercpu_time_millis_training: 297.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9227, kappa: 0.8436, kb_relative_information_score: 9678.7161, mean_absolute_error: 0.1954, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9231, predictive_accuracy: 0.9229, prior_entropy: 0.9924, recall: 0.9229, relative_absolute_error: 0.395, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.265, root_relative_squared_error: 0.5329, scimark_benchmark: 1289.9087, usercpu_time_millis: 312.621, usercpu_time_millis_testing: 7.451, usercpu_time_millis_training: 305.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.8735, kappa: 0.7436, kb_relative_information_score: 6598.5618, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8758, predictive_accuracy: 0.8742, prior_entropy: 0.9924, recall: 0.8742, relative_absolute_error: 0.6118, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3413, root_relative_squared_error: 0.6861, scimark_benchmark: 1287.2829, usercpu_time_millis: 105.329, usercpu_time_millis_testing: 9.622, usercpu_time_millis_training: 95.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.8985, kappa: 0.7944, kb_relative_information_score: 8514.4182, mean_absolute_error: 0.2359, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8992, predictive_accuracy: 0.8988, prior_entropy: 0.9924, recall: 0.8988, relative_absolute_error: 0.4767, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.297, root_relative_squared_error: 0.5972, scimark_benchmark: 1281.367, usercpu_time_millis: 1260.951, usercpu_time_millis_testing: 52.001, usercpu_time_millis_training: 1208.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.8914, kappa: 0.7801, kb_relative_information_score: 7910.3218, mean_absolute_error: 0.2575, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8925, predictive_accuracy: 0.8919, prior_entropy: 0.9924, recall: 0.8919, relative_absolute_error: 0.5205, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3103, root_relative_squared_error: 0.6239, scimark_benchmark: 1281.273, usercpu_time_millis: 675.968, usercpu_time_millis_testing: 42.064, usercpu_time_millis_training: 633.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9269, kappa: 0.8521, kb_relative_information_score: 9770.4928, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9274, predictive_accuracy: 0.9271, prior_entropy: 0.9924, recall: 0.9271, relative_absolute_error: 0.3893, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2613, root_relative_squared_error: 0.5253, scimark_benchmark: 1270.1928, usercpu_time_millis: 1746.215, usercpu_time_millis_testing: 41.512, usercpu_time_millis_training: 1704.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9311, kappa: 0.8605, kb_relative_information_score: 9820.3947, mean_absolute_error: 0.1917, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9315, predictive_accuracy: 0.9312, prior_entropy: 0.9924, recall: 0.9312, relative_absolute_error: 0.3874, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2572, root_relative_squared_error: 0.5171, scimark_benchmark: 1279.6771, usercpu_time_millis: 473.107, usercpu_time_millis_testing: 18.842, usercpu_time_millis_training: 454.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.8726, kappa: 0.7419, kb_relative_information_score: 7430.1821, mean_absolute_error: 0.2724, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.874, predictive_accuracy: 0.8732, prior_entropy: 0.9924, recall: 0.8732, relative_absolute_error: 0.5506, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3263, root_relative_squared_error: 0.6561, scimark_benchmark: 1268.1081, usercpu_time_millis: 285.938, usercpu_time_millis_testing: 19.218, usercpu_time_millis_training: 266.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9137, kappa: 0.8253, kb_relative_information_score: 9053.6459, mean_absolute_error: 0.2179, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9143, predictive_accuracy: 0.914, prior_entropy: 0.9924, recall: 0.914, relative_absolute_error: 0.4404, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2807, root_relative_squared_error: 0.5644, scimark_benchmark: 1265.8361, usercpu_time_millis: 824.423, usercpu_time_millis_testing: 30.973, usercpu_time_millis_training: 793.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9244, kappa: 0.8469, kb_relative_information_score: 9361.6744, mean_absolute_error: 0.2079, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9249, predictive_accuracy: 0.9246, prior_entropy: 0.9924, recall: 0.9246, relative_absolute_error: 0.4202, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.27, root_relative_squared_error: 0.5429, scimark_benchmark: 1268.6065, usercpu_time_millis: 799.768, usercpu_time_millis_testing: 32.865, usercpu_time_millis_training: 766.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9211, kappa: 0.8402, kb_relative_information_score: 8998.4347, mean_absolute_error: 0.2215, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9217, predictive_accuracy: 0.9213, prior_entropy: 0.9924, recall: 0.9213, relative_absolute_error: 0.4476, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2777, root_relative_squared_error: 0.5584, scimark_benchmark: 1275.2306, usercpu_time_millis: 253.544, usercpu_time_millis_testing: 16.87, usercpu_time_millis_training: 236.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9447, f_measure: 0.8685, kappa: 0.7336, kb_relative_information_score: 7216.2841, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8701, predictive_accuracy: 0.8692, prior_entropy: 0.9924, recall: 0.8692, relative_absolute_error: 0.5653, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.6668, scimark_benchmark: 1274.5634, usercpu_time_millis: 458.628, usercpu_time_millis_testing: 25.845, usercpu_time_millis_training: 432.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9152, kappa: 0.8284, kb_relative_information_score: 10039.5728, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9156, predictive_accuracy: 0.9154, prior_entropy: 0.9924, recall: 0.9154, relative_absolute_error: 0.3637, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2638, root_relative_squared_error: 0.5304, scimark_benchmark: 1285.8198, usercpu_time_millis: 1476.615, usercpu_time_millis_testing: 31.096, usercpu_time_millis_training: 1445.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.9103, kappa: 0.8183, kb_relative_information_score: 7670.8208, mean_absolute_error: 0.2687, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9118, predictive_accuracy: 0.9107, prior_entropy: 0.9924, recall: 0.9107, relative_absolute_error: 0.543, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3099, root_relative_squared_error: 0.623, scimark_benchmark: 1267.8044, usercpu_time_millis: 61.226, usercpu_time_millis_testing: 5.174, usercpu_time_millis_training: 56.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9052, kappa: 0.808, kb_relative_information_score: 7412.2044, mean_absolute_error: 0.2775, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.907, predictive_accuracy: 0.9057, prior_entropy: 0.9924, recall: 0.9057, relative_absolute_error: 0.5608, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.6363, scimark_benchmark: 1250.7663, usercpu_time_millis: 92.745, usercpu_time_millis_testing: 7.972, usercpu_time_millis_training: 84.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9233, kappa: 0.8448, kb_relative_information_score: 9747.6642, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9238, predictive_accuracy: 0.9235, prior_entropy: 0.9924, recall: 0.9235, relative_absolute_error: 0.3901, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2632, root_relative_squared_error: 0.5291, scimark_benchmark: 1246.6257, usercpu_time_millis: 1000.262, usercpu_time_millis_testing: 22.005, usercpu_time_millis_training: 978.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9156, kappa: 0.8292, kb_relative_information_score: 9338.8859, mean_absolute_error: 0.2073, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9161, predictive_accuracy: 0.9158, prior_entropy: 0.9924, recall: 0.9158, relative_absolute_error: 0.4191, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2744, root_relative_squared_error: 0.5518, scimark_benchmark: 1252.0528, usercpu_time_millis: 115.291, usercpu_time_millis_testing: 3.625, usercpu_time_millis_training: 111.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.918, kappa: 0.8341, kb_relative_information_score: 9519.1954, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9185, predictive_accuracy: 0.9182, prior_entropy: 0.9924, recall: 0.9182, relative_absolute_error: 0.4055, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2707, root_relative_squared_error: 0.5443, scimark_benchmark: 1276.995, usercpu_time_millis: 1483.966, usercpu_time_millis_testing: 42.139, usercpu_time_millis_training: 1441.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9263, kappa: 0.8509, kb_relative_information_score: 9572.2331, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9268, predictive_accuracy: 0.9265, prior_entropy: 0.9924, recall: 0.9265, relative_absolute_error: 0.405, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2644, root_relative_squared_error: 0.5315, scimark_benchmark: 1240.8395, usercpu_time_millis: 707.695, usercpu_time_millis_testing: 31.496, usercpu_time_millis_training: 676.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9333, kappa: 0.865, kb_relative_information_score: 9914.0426, mean_absolute_error: 0.1885, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9337, predictive_accuracy: 0.9334, prior_entropy: 0.9924, recall: 0.9334, relative_absolute_error: 0.3811, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.254, root_relative_squared_error: 0.5106, scimark_benchmark: 1257.0842, usercpu_time_millis: 174.495, usercpu_time_millis_testing: 7.738, usercpu_time_millis_training: 166.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.9083, kappa: 0.8143, kb_relative_information_score: 8804.4803, mean_absolute_error: 0.2265, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.909, predictive_accuracy: 0.9085, prior_entropy: 0.9924, recall: 0.9085, relative_absolute_error: 0.4577, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2875, root_relative_squared_error: 0.578, scimark_benchmark: 1241.3147, usercpu_time_millis: 509.319, usercpu_time_millis_testing: 24.2, usercpu_time_millis_training: 485.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9176, kappa: 0.8333, kb_relative_information_score: 9524.2602, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9181, predictive_accuracy: 0.9178, prior_entropy: 0.9924, recall: 0.9178, relative_absolute_error: 0.405, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2707, root_relative_squared_error: 0.5444, scimark_benchmark: 1252.3183, usercpu_time_millis: 917.806, usercpu_time_millis_testing: 27.142, usercpu_time_millis_training: 890.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9176, kappa: 0.8332, kb_relative_information_score: 9430.1187, mean_absolute_error: 0.2042, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9181, predictive_accuracy: 0.9178, prior_entropy: 0.9924, recall: 0.9178, relative_absolute_error: 0.4127, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2717, root_relative_squared_error: 0.5463, scimark_benchmark: 1258.3687, usercpu_time_millis: 428.192, usercpu_time_millis_testing: 12.545, usercpu_time_millis_training: 415.647,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5716, f_measure: 0.3917, kappa: -0.0003, kb_relative_information_score: -2.653, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5511, prior_entropy: 0.9924, recall: 0.5511, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0003, scimark_benchmark: 1249.6483, usercpu_time_millis: 588.17, usercpu_time_millis_testing: 6.223, usercpu_time_millis_training: 581.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.9007, kappa: 0.7992, kb_relative_information_score: 10568.1074, mean_absolute_error: 0.1565, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9008, predictive_accuracy: 0.9009, prior_entropy: 0.9924, recall: 0.9009, relative_absolute_error: 0.3164, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2716, root_relative_squared_error: 0.5461, scimark_benchmark: 1240.4309, usercpu_time_millis: 4803.406, usercpu_time_millis_testing: 3.585, usercpu_time_millis_training: 4799.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5237, f_measure: 0.3918, kappa: -0.0001, kb_relative_information_score: -0.5861, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.4534, predictive_accuracy: 0.5511, prior_entropy: 0.9924, recall: 0.5511, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0001, scimark_benchmark: 1238.592, usercpu_time_millis: 602.844, usercpu_time_millis_testing: 5.987, usercpu_time_millis_training: 596.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5861, f_measure: 0.3918, kappa: 0, kb_relative_information_score: 1.4958, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5282, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, scimark_benchmark: 1239.198, usercpu_time_millis: 614.73, usercpu_time_millis_testing: 6.096, usercpu_time_millis_training: 608.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6137, f_measure: 0.5618, kappa: 0.1318, kb_relative_information_score: 738.7146, mean_absolute_error: 0.4743, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5834, predictive_accuracy: 0.5877, prior_entropy: 0.9924, recall: 0.5877, relative_absolute_error: 0.9586, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4859, root_relative_squared_error: 0.977, scimark_benchmark: 1264.4824, usercpu_time_millis: 577.537, usercpu_time_millis_testing: 6.413, usercpu_time_millis_training: 571.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4825, f_measure: 0.3917, kappa: -0.0003, kb_relative_information_score: -2.6418, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5511, prior_entropy: 0.9924, recall: 0.5511, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0003, scimark_benchmark: 1229.7118, usercpu_time_millis: 680.626, usercpu_time_millis_testing: 6.36, usercpu_time_millis_training: 674.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5015, f_measure: 0.3918, kappa: 0, kb_relative_information_score: 1.4724, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5282, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, scimark_benchmark: 1251.2552, usercpu_time_millis: 724.586, usercpu_time_millis_testing: 7.867, usercpu_time_millis_training: 716.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6248, f_measure: 0.5939, kappa: 0.193, kb_relative_information_score: 1116.7092, mean_absolute_error: 0.4637, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6174, predictive_accuracy: 0.6159, prior_entropy: 0.9924, recall: 0.6159, relative_absolute_error: 0.9373, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4806, root_relative_squared_error: 0.9663, scimark_benchmark: 1249.866, usercpu_time_millis: 941.397, usercpu_time_millis_testing: 5.65, usercpu_time_millis_training: 935.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6459, f_measure: 0.5965, kappa: 0.1927, kb_relative_information_score: 1318.7369, mean_absolute_error: 0.4575, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6123, predictive_accuracy: 0.6137, prior_entropy: 0.9924, recall: 0.6137, relative_absolute_error: 0.9246, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4777, root_relative_squared_error: 0.9605, scimark_benchmark: 1258.0488, usercpu_time_millis: 1034.943, usercpu_time_millis_testing: 10.414, usercpu_time_millis_training: 1024.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5621, f_measure: 0.3917, kappa: -0.0003, kb_relative_information_score: -2.7888, mean_absolute_error: 0.4949, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5511, prior_entropy: 0.9924, recall: 0.5511, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0003, scimark_benchmark: 1259.3909, usercpu_time_millis: 594.771, usercpu_time_millis_testing: 5.824, usercpu_time_millis_training: 588.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.613, f_measure: 0.569, kappa: 0.13, kb_relative_information_score: 823.0153, mean_absolute_error: 0.4714, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5731, predictive_accuracy: 0.5794, prior_entropy: 0.9924, recall: 0.5794, relative_absolute_error: 0.9527, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4866, root_relative_squared_error: 0.9783, scimark_benchmark: 1257.3576, usercpu_time_millis: 1054.993, usercpu_time_millis_testing: 10.964, usercpu_time_millis_training: 1044.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7752, f_measure: 0.6873, kappa: 0.3671, kb_relative_information_score: 3760.5104, mean_absolute_error: 0.3812, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6928, predictive_accuracy: 0.6925, prior_entropy: 0.9924, recall: 0.6925, relative_absolute_error: 0.7705, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.8774, scimark_benchmark: 1239.6722, usercpu_time_millis: 901.704, usercpu_time_millis_testing: 9.216, usercpu_time_millis_training: 892.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8199, f_measure: 0.7341, kappa: 0.4614, kb_relative_information_score: 4847.4531, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.738, predictive_accuracy: 0.7373, prior_entropy: 0.9924, recall: 0.7373, relative_absolute_error: 0.7008, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4144, root_relative_squared_error: 0.8332, scimark_benchmark: 1277.1561, usercpu_time_millis: 1463.323, usercpu_time_millis_testing: 8.75, usercpu_time_millis_training: 1454.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6188, f_measure: 0.5835, kappa: 0.1757, kb_relative_information_score: 979.9929, mean_absolute_error: 0.4677, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6101, predictive_accuracy: 0.6087, prior_entropy: 0.9924, recall: 0.6087, relative_absolute_error: 0.9454, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4825, root_relative_squared_error: 0.9701, scimark_benchmark: 1231.5951, usercpu_time_millis: 727.464, usercpu_time_millis_testing: 5.449, usercpu_time_millis_training: 722.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5046, f_measure: 0.3917, kappa: -0.0003, kb_relative_information_score: -2.5172, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5511, prior_entropy: 0.9924, recall: 0.5511, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0003, scimark_benchmark: 1260.8291, usercpu_time_millis: 702.365, usercpu_time_millis_testing: 7.569, usercpu_time_millis_training: 694.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.508, f_measure: 0.3917, kappa: -0.0003, kb_relative_information_score: -2.4897, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5511, prior_entropy: 0.9924, recall: 0.5511, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0003, scimark_benchmark: 1241.7644, usercpu_time_millis: 677.435, usercpu_time_millis_testing: 6.986, usercpu_time_millis_training: 670.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5486, f_measure: 0.3917, kappa: -0.0003, kb_relative_information_score: -3.3112, mean_absolute_error: 0.4949, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5511, prior_entropy: 0.9924, recall: 0.5511, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0003, scimark_benchmark: 1234.7944, usercpu_time_millis: 583.678, usercpu_time_millis_testing: 5.78, usercpu_time_millis_training: 577.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6537, f_measure: 0.4309, kappa: 0.0385, kb_relative_information_score: 265.2904, mean_absolute_error: 0.4875, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6795, predictive_accuracy: 0.5662, prior_entropy: 0.9924, recall: 0.5662, relative_absolute_error: 0.9854, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4923, root_relative_squared_error: 0.9897, scimark_benchmark: 1264.9179, usercpu_time_millis: 2539.425, usercpu_time_millis_testing: 12.883, usercpu_time_millis_training: 2526.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6118, f_measure: 0.5686, kappa: 0.1292, kb_relative_information_score: 793.2743, mean_absolute_error: 0.4722, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5728, predictive_accuracy: 0.5791, prior_entropy: 0.9924, recall: 0.5791, relative_absolute_error: 0.9545, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4867, root_relative_squared_error: 0.9785, scimark_benchmark: 1261.1689, usercpu_time_millis: 1184.972, usercpu_time_millis_testing: 11.528, usercpu_time_millis_training: 1173.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.446, f_measure: 0.3917, kappa: -0.0001, kb_relative_information_score: -1.572, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5511, prior_entropy: 0.9924, recall: 0.5511, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0002, scimark_benchmark: 1271.0264, usercpu_time_millis: 657.284, usercpu_time_millis_testing: 5.452, usercpu_time_millis_training: 651.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4402, f_measure: 0.3917, kappa: -0.0001, kb_relative_information_score: -1.5721, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5511, prior_entropy: 0.9924, recall: 0.5511, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0002, scimark_benchmark: 1236.2693, usercpu_time_millis: 671.737, usercpu_time_millis_testing: 6.378, usercpu_time_millis_training: 665.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6657, f_measure: 0.6128, kappa: 0.2302, kb_relative_information_score: 1345.081, mean_absolute_error: 0.4578, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6387, predictive_accuracy: 0.6335, prior_entropy: 0.9924, recall: 0.6335, relative_absolute_error: 0.9253, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4773, root_relative_squared_error: 0.9596, scimark_benchmark: 1249.0058, usercpu_time_millis: 4658.821, usercpu_time_millis_testing: 4.775, usercpu_time_millis_training: 4654.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, f_measure: 0.3916, kappa: -0.0004, kb_relative_information_score: -4.6748, mean_absolute_error: 0.4949, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.551, prior_entropy: 0.9924, recall: 0.551, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4976, root_relative_squared_error: 1.0004, scimark_benchmark: 1266.4719, usercpu_time_millis: 716.809, usercpu_time_millis_testing: 6.482, usercpu_time_millis_training: 710.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6095, f_measure: 0.5712, kappa: 0.1331, kb_relative_information_score: 726.1827, mean_absolute_error: 0.4742, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5739, predictive_accuracy: 0.5798, prior_entropy: 0.9924, recall: 0.5798, relative_absolute_error: 0.9585, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4876, root_relative_squared_error: 0.9804, scimark_benchmark: 1234.2183, usercpu_time_millis: 1107.304, usercpu_time_millis_testing: 12.111, usercpu_time_millis_training: 1095.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6509, f_measure: 0.5993, kappa: 0.1989, kb_relative_information_score: 1392.0332, mean_absolute_error: 0.4553, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6164, predictive_accuracy: 0.617, prior_entropy: 0.9924, recall: 0.617, relative_absolute_error: 0.9203, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4764, root_relative_squared_error: 0.9578, scimark_benchmark: 1249.3408, usercpu_time_millis: 1128.209, usercpu_time_millis_testing: 11.117, usercpu_time_millis_training: 1117.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6365, f_measure: 0.5632, kappa: 0.1338, kb_relative_information_score: 988.7661, mean_absolute_error: 0.4673, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5842, predictive_accuracy: 0.5884, prior_entropy: 0.9924, recall: 0.5884, relative_absolute_error: 0.9444, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4836, root_relative_squared_error: 0.9723, scimark_benchmark: 1269.0426, usercpu_time_millis: 1167.405, usercpu_time_millis_testing: 10.67, usercpu_time_millis_training: 1156.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, f_measure: 0.5649, kappa: 0.1424, kb_relative_information_score: 791.0137, mean_absolute_error: 0.4731, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5926, predictive_accuracy: 0.594, prior_entropy: 0.9924, recall: 0.594, relative_absolute_error: 0.9563, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4848, root_relative_squared_error: 0.9746, scimark_benchmark: 1246.5861, usercpu_time_millis: 597.593, usercpu_time_millis_testing: 5.335, usercpu_time_millis_training: 592.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, f_measure: 0.8011, kappa: 0.5971, kb_relative_information_score: 7069.3866, mean_absolute_error: 0.2748, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.802, predictive_accuracy: 0.802, prior_entropy: 0.9924, recall: 0.802, relative_absolute_error: 0.5554, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.7441, scimark_benchmark: 1245.916, usercpu_time_millis: 873.957, usercpu_time_millis_testing: 7.947, usercpu_time_millis_training: 866.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.8646, kappa: 0.7259, kb_relative_information_score: 9300.6013, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8648, predictive_accuracy: 0.8648, prior_entropy: 0.9924, recall: 0.8648, relative_absolute_error: 0.402, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.6279, scimark_benchmark: 1252.1843, usercpu_time_millis: 865.414, usercpu_time_millis_testing: 5.338, usercpu_time_millis_training: 860.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7354, f_measure: 0.5106, kappa: 0.1275, kb_relative_information_score: 887.2691, mean_absolute_error: 0.4697, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6938, predictive_accuracy: 0.6016, prior_entropy: 0.9924, recall: 0.6016, relative_absolute_error: 0.9494, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4813, root_relative_squared_error: 0.9677, scimark_benchmark: 1240.7108, usercpu_time_millis: 2428.628, usercpu_time_millis_testing: 12.903, usercpu_time_millis_training: 2415.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5134, f_measure: 0.3917, kappa: -0.0003, kb_relative_information_score: -2.5496, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5511, prior_entropy: 0.9924, recall: 0.5511, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0003, scimark_benchmark: 1256.3292, usercpu_time_millis: 625.801, usercpu_time_millis_testing: 6.872, usercpu_time_millis_training: 618.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4046, f_measure: 0.3917, kappa: -0.0001, kb_relative_information_score: -1.6817, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5511, prior_entropy: 0.9924, recall: 0.5511, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0002, scimark_benchmark: 1255.1417, usercpu_time_millis: 836.773, usercpu_time_millis_testing: 4.782, usercpu_time_millis_training: 831.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6117, f_measure: 0.5678, kappa: 0.1278, kb_relative_information_score: 792.4478, mean_absolute_error: 0.4723, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5722, predictive_accuracy: 0.5786, prior_entropy: 0.9924, recall: 0.5786, relative_absolute_error: 0.9545, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4864, root_relative_squared_error: 0.9779, scimark_benchmark: 1272.9633, usercpu_time_millis: 1047.044, usercpu_time_millis_testing: 10.525, usercpu_time_millis_training: 1036.519,

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