OpenML
Supervised Classification on Click_prediction_small

Supervised Classification on Click_prediction_small

Task 14971 Supervised Classification Click_prediction_small 21169 runs submitted
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21169 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.7552, kappa: 0.0003, kb_relative_information_score: 10772.88, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7589, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.6013, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4104, root_relative_squared_error: 1.0967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5358, f_measure: 0.7408, kappa: 0.0721, kb_relative_information_score: -4830.1594, mean_absolute_error: 0.2585, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7401, predictive_accuracy: 0.7415, prior_entropy: 0.6541, recall: 0.7415, relative_absolute_error: 0.923, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.5085, root_relative_squared_error: 1.3587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5084, f_measure: 0.7552, kappa: 0.0002, kb_relative_information_score: -63496.852, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7397, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 1.7834, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.3349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: 10777.2154, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.6012, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4104, root_relative_squared_error: 1.0966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7552, kappa: 0.0001, kb_relative_information_score: 10772.88, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7477, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.6013, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4104, root_relative_squared_error: 1.0967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5025, f_measure: 0.757, kappa: 0.008, kb_relative_information_score: 10629.8124, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7549, predictive_accuracy: 0.8307, prior_entropy: 0.6541, recall: 0.8307, relative_absolute_error: 0.6043, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4114, root_relative_squared_error: 1.0994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6374, f_measure: 0.7694, kappa: 0.0597, kb_relative_information_score: -1993.0757, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7997, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9565, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.9777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6355, f_measure: 0.768, kappa: 0.0539, kb_relative_information_score: -2240.6012, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7974, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.9534, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.9782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -1.23, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6362, f_measure: 0.7685, kappa: 0.0559, kb_relative_information_score: -2364.1197, mean_absolute_error: 0.2659, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7953, predictive_accuracy: 0.8337, prior_entropy: 0.6541, recall: 0.8337, relative_absolute_error: 0.9491, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.9767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kappa: -0.0002, kb_relative_information_score: 10625.477, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7179, predictive_accuracy: 0.8307, prior_entropy: 0.6541, recall: 0.8307, relative_absolute_error: 0.6044, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4115, root_relative_squared_error: 1.0994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6553, f_measure: 0.7693, kappa: 0.0595, kb_relative_information_score: -4416.9166, mean_absolute_error: 0.2674, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7917, predictive_accuracy: 0.8334, prior_entropy: 0.6541, recall: 0.8334, relative_absolute_error: 0.9546, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.366, root_relative_squared_error: 0.9779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6687, f_measure: 0.7685, kappa: 0.0569, kb_relative_information_score: -2290.9446, mean_absolute_error: 0.2657, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7809, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9485, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.9731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6722, f_measure: 0.7768, kappa: 0.0941, kb_relative_information_score: -2297.894, mean_absolute_error: 0.2551, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7843, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9107, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.9758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6728, f_measure: 0.7731, kappa: 0.0779, kb_relative_information_score: -1897.333, mean_absolute_error: 0.2565, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.779, predictive_accuracy: 0.8308, prior_entropy: 0.6541, recall: 0.8308, relative_absolute_error: 0.9157, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.9756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5278, f_measure: 0.7551, kb_relative_information_score: 26.8079, mean_absolute_error: 0.2787, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9948, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.373, root_relative_squared_error: 0.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5086, f_measure: 0.7552, kappa: 0.0005, kb_relative_information_score: -63493.136, mean_absolute_error: 0.4995, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7397, predictive_accuracy: 0.8314, prior_entropy: 0.6541, recall: 0.8314, relative_absolute_error: 1.7833, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.3349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6132, f_measure: 0.7551, kb_relative_information_score: -3169.4401, mean_absolute_error: 0.276, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9852, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6363, f_measure: 0.7625, kappa: 0.0305, kb_relative_information_score: -3401.0943, mean_absolute_error: 0.2714, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.809, predictive_accuracy: 0.8335, prior_entropy: 0.6541, recall: 0.8335, relative_absolute_error: 0.9687, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.367, root_relative_squared_error: 0.9806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.7552, kappa: 0.0005, kb_relative_information_score: 10785.8861, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.86, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.6011, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4103, root_relative_squared_error: 1.0964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, f_measure: 0.7726, kappa: 0.0769, kb_relative_information_score: -1765.7594, mean_absolute_error: 0.2592, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7727, predictive_accuracy: 0.8288, prior_entropy: 0.6541, recall: 0.8288, relative_absolute_error: 0.9252, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.9866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6291, f_measure: 0.7759, kappa: 0.1007, kb_relative_information_score: -5428.1487, mean_absolute_error: 0.2579, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7641, predictive_accuracy: 0.8199, prior_entropy: 0.6541, recall: 0.8199, relative_absolute_error: 0.9208, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3841, root_relative_squared_error: 1.0263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6058, f_measure: 0.7582, kappa: 0.0194, kb_relative_information_score: 4363.0753, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7324, predictive_accuracy: 0.8167, prior_entropy: 0.6541, recall: 0.8167, relative_absolute_error: 0.7741, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4006, root_relative_squared_error: 1.0704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.7552, kappa: 0.0002, kb_relative_information_score: 10781.5508, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.86, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.6012, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4104, root_relative_squared_error: 1.0965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5396, f_measure: 0.775, kappa: 0.0859, kb_relative_information_score: 6380.571, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7835, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3918, root_relative_squared_error: 1.0469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5437, f_measure: 0.752, kappa: 0.0312, kb_relative_information_score: -28863.0335, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7301, predictive_accuracy: 0.7836, prior_entropy: 0.6541, recall: 0.7836, relative_absolute_error: 1.2709, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4935, root_relative_squared_error: 1.3187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6783, f_measure: 0.7768, kappa: 0.0955, kb_relative_information_score: -3175.3231, mean_absolute_error: 0.2591, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.778, predictive_accuracy: 0.8297, prior_entropy: 0.6541, recall: 0.8297, relative_absolute_error: 0.925, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.9747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5401, f_measure: 0.7657, kappa: 0.044, kb_relative_information_score: 298.0031, mean_absolute_error: 0.2742, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8001, predictive_accuracy: 0.8337, prior_entropy: 0.6541, recall: 0.8337, relative_absolute_error: 0.9787, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3706, root_relative_squared_error: 0.9903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6645, f_measure: 0.7765, kappa: 0.0982, kb_relative_information_score: -3256.7581, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7696, predictive_accuracy: 0.825, prior_entropy: 0.6541, recall: 0.825, relative_absolute_error: 0.9201, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.37, root_relative_squared_error: 0.9887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5361, f_measure: 0.7408, kappa: 0.0723, kb_relative_information_score: -4832.6082, mean_absolute_error: 0.2585, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7401, predictive_accuracy: 0.7414, prior_entropy: 0.6541, recall: 0.7414, relative_absolute_error: 0.9227, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.5081, root_relative_squared_error: 1.3577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5769, f_measure: 0.7705, kappa: 0.0646, kb_relative_information_score: -64.2961, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7935, predictive_accuracy: 0.8337, prior_entropy: 0.6541, recall: 0.8337, relative_absolute_error: 0.9667, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.9864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6067, f_measure: 0.7641, kappa: 0.1056, kb_relative_information_score: 1365.115, mean_absolute_error: 0.2182, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.751, predictive_accuracy: 0.7816, prior_entropy: 0.6541, recall: 0.7816, relative_absolute_error: 0.7789, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.441, root_relative_squared_error: 1.1785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5696, f_measure: 0.7588, kappa: 0.0219, kb_relative_information_score: -11706.1738, mean_absolute_error: 0.3035, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7339, predictive_accuracy: 0.817, prior_entropy: 0.6541, recall: 0.817, relative_absolute_error: 1.0833, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3836, root_relative_squared_error: 1.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.581, f_measure: 0.7624, kappa: 0.0771, kb_relative_information_score: -2695.9807, mean_absolute_error: 0.2413, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7444, predictive_accuracy: 0.7897, prior_entropy: 0.6541, recall: 0.7897, relative_absolute_error: 0.8614, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4193, root_relative_squared_error: 1.1205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5934, f_measure: 0.7708, kappa: 0.1161, kb_relative_information_score: 3803.9923, mean_absolute_error: 0.2076, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7558, predictive_accuracy: 0.7942, prior_entropy: 0.6541, recall: 0.7942, relative_absolute_error: 0.7412, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4441, root_relative_squared_error: 1.1866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5768, f_measure: 0.7707, kappa: 0.0654, kb_relative_information_score: -73.3378, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7926, predictive_accuracy: 0.8336, prior_entropy: 0.6541, recall: 0.8336, relative_absolute_error: 0.9666, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.9862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5645, f_measure: 0.7446, kappa: 0.0682, kb_relative_information_score: -6761.3072, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7391, predictive_accuracy: 0.7506, prior_entropy: 0.6541, recall: 0.7506, relative_absolute_error: 0.9261, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4435, root_relative_squared_error: 1.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5763, f_measure: 0.7711, kappa: 0.0674, kb_relative_information_score: -95.9974, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7948, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9666, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.9855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.7552, kappa: 0.0002, kb_relative_information_score: 10781.5508, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.86, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.6012, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4104, root_relative_squared_error: 1.0965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5451, f_measure: 0.7712, kappa: 0.0676, kb_relative_information_score: 472.1064, mean_absolute_error: 0.2721, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7974, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9712, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3695, root_relative_squared_error: 0.9872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.538, f_measure: 0.7706, kappa: 0.0647, kb_relative_information_score: 400.1872, mean_absolute_error: 0.2729, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7991, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9743, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.37, root_relative_squared_error: 0.9886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5376, f_measure: 0.7708, kappa: 0.0659, kb_relative_information_score: 398.2023, mean_absolute_error: 0.2728, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7985, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9737, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.9883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5425, f_measure: 0.7711, kappa: 0.0668, kb_relative_information_score: 418.9517, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8004, predictive_accuracy: 0.8347, prior_entropy: 0.6541, recall: 0.8347, relative_absolute_error: 0.9733, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.9878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5235, f_measure: 0.7643, kappa: 0.038, kb_relative_information_score: 526.0883, mean_absolute_error: 0.2754, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.798, predictive_accuracy: 0.8333, prior_entropy: 0.6541, recall: 0.8333, relative_absolute_error: 0.9833, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.9923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5384, f_measure: 0.756, kappa: 0.0042, kb_relative_information_score: 5628.7742, mean_absolute_error: 0.1983, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7275, predictive_accuracy: 0.8267, prior_entropy: 0.6541, recall: 0.8267, relative_absolute_error: 0.7079, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4024, root_relative_squared_error: 1.0753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5252, f_measure: 0.7672, kappa: 0.0503, kb_relative_information_score: 607.6765, mean_absolute_error: 0.2747, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7978, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9807, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.9908,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.7778, kappa: 0.1051, kb_relative_information_score: -4159.5086, mean_absolute_error: 0.2605, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7702, predictive_accuracy: 0.8243, prior_entropy: 0.6541, recall: 0.8243, relative_absolute_error: 0.9299, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.9897,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.7778, kappa: 0.1051, kb_relative_information_score: -4159.5086, mean_absolute_error: 0.2605, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7702, predictive_accuracy: 0.8243, prior_entropy: 0.6541, recall: 0.8243, relative_absolute_error: 0.9299, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.9897,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.7778, kappa: 0.1051, kb_relative_information_score: -4159.5086, mean_absolute_error: 0.2605, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7702, predictive_accuracy: 0.8243, prior_entropy: 0.6541, recall: 0.8243, relative_absolute_error: 0.9299, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.9897,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6419, f_measure: 0.7622, kappa: 0.0304, kb_relative_information_score: -1705.4673, mean_absolute_error: 0.2618, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7627, predictive_accuracy: 0.8296, prior_entropy: 0.6541, recall: 0.8296, relative_absolute_error: 0.9347, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.9878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6089, f_measure: 0.7617, kappa: 0.031, kb_relative_information_score: 8730.2966, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7448, predictive_accuracy: 0.8232, prior_entropy: 0.6541, recall: 0.8232, relative_absolute_error: 0.6488, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.414, root_relative_squared_error: 1.1062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6704, f_measure: 0.7764, kappa: 0.0976, kb_relative_information_score: -3110.3337, mean_absolute_error: 0.2578, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7696, predictive_accuracy: 0.8251, prior_entropy: 0.6541, recall: 0.8251, relative_absolute_error: 0.9204, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.9847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5878, f_measure: 0.7656, kappa: 0.0436, kb_relative_information_score: -26904.2776, mean_absolute_error: 0.3504, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8007, predictive_accuracy: 0.8337, prior_entropy: 0.6541, recall: 0.8337, relative_absolute_error: 1.2507, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3986, root_relative_squared_error: 1.0651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6269, f_measure: 0.7551, kb_relative_information_score: -867.0968, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9283, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.9863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6367, f_measure: 0.7566, kappa: 0.006, kb_relative_information_score: -293.5477, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7535, predictive_accuracy: 0.8309, prior_entropy: 0.6541, recall: 0.8309, relative_absolute_error: 0.9118, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5484, f_measure: 0.7431, kappa: 0.0944, kb_relative_information_score: -5152.541, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7464, predictive_accuracy: 0.74, prior_entropy: 0.6541, recall: 0.74, relative_absolute_error: 0.9293, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.51, root_relative_squared_error: 1.3627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6061, f_measure: 0.7553, kappa: 0.0009, kb_relative_information_score: -831.2481, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.751, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9177, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.9969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5425, f_measure: 0.746, kappa: 0.0863, kb_relative_information_score: -3698.6247, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7441, predictive_accuracy: 0.748, prior_entropy: 0.6541, recall: 0.748, relative_absolute_error: 0.8996, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.502, root_relative_squared_error: 1.3414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6429, f_measure: 0.7753, kappa: 0.0922, kb_relative_information_score: -5612.0282, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7685, predictive_accuracy: 0.8251, prior_entropy: 0.6541, recall: 0.8251, relative_absolute_error: 0.9428, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3741, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.643, f_measure: 0.7773, kappa: 0.1014, kb_relative_information_score: -5359.4216, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7714, predictive_accuracy: 0.8257, prior_entropy: 0.6541, recall: 0.8257, relative_absolute_error: 0.9375, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.374, root_relative_squared_error: 0.9995,

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