OpenML
Supervised Classification on SpeedDating

Supervised Classification on SpeedDating

Task 125968 Supervised Classification SpeedDating 1170 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6326, average_cost: 5.0728, f_measure: 0.7736, kappa: 0.2161, kb_relative_information_score: -492.9369, mean_absolute_error: 0.2366, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7853, predictive_accuracy: 0.764, prior_entropy: 0.6457, recall: 0.764, relative_absolute_error: 0.8595, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4733, root_relative_squared_error: 1.2759, total_cost: 42500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8488, average_cost: 0.7428, f_measure: 0.3614, kappa: 0.083, kb_relative_information_score: -15796.4695, mean_absolute_error: 0.5682, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.86, predictive_accuracy: 0.3508, prior_entropy: 0.6457, recall: 0.3508, relative_absolute_error: 2.0645, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6219, root_relative_squared_error: 1.6766, total_cost: 6223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7609, average_cost: 1.3466, f_measure: 0.611, kappa: 0.1932, kb_relative_information_score: -8345.135, mean_absolute_error: 0.4393, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8419, predictive_accuracy: 0.5599, prior_entropy: 0.6457, recall: 0.5599, relative_absolute_error: 1.5963, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6304, root_relative_squared_error: 1.6996, total_cost: 11282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8222, average_cost: 0.8054, f_measure: 0.4347, kappa: 0.1099, kb_relative_information_score: -14356.8213, mean_absolute_error: 0.5683, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8561, predictive_accuracy: 0.4051, prior_entropy: 0.6457, recall: 0.4051, relative_absolute_error: 2.0648, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6734, root_relative_squared_error: 1.8155, total_cost: 6748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8455, average_cost: 0.7448, f_measure: 0.2896, kappa: 0.0592, kb_relative_information_score: -16559.2728, mean_absolute_error: 0.5909, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8609, predictive_accuracy: 0.302, prior_entropy: 0.6457, recall: 0.302, relative_absolute_error: 2.147, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6455, root_relative_squared_error: 1.7404, total_cost: 6240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7735, average_cost: 1.4006, f_measure: 0.6213, kappa: 0.1994, kb_relative_information_score: -8024.1413, mean_absolute_error: 0.4292, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8411, predictive_accuracy: 0.5703, prior_entropy: 0.6457, recall: 0.5703, relative_absolute_error: 1.5595, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.62, root_relative_squared_error: 1.6714, total_cost: 11734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8183, average_cost: 0.8243, f_measure: 0.4258, kappa: 0.1052, kb_relative_information_score: -14516.3471, mean_absolute_error: 0.5739, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8545, predictive_accuracy: 0.3979, prior_entropy: 0.6457, recall: 0.3979, relative_absolute_error: 2.0852, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6805, root_relative_squared_error: 1.8346, total_cost: 6906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, average_cost: 0.7477, f_measure: 0.4623, kappa: 0.1252, kb_relative_information_score: -13591.2372, mean_absolute_error: 0.5494, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8606, predictive_accuracy: 0.4278, prior_entropy: 0.6457, recall: 0.4278, relative_absolute_error: 1.9961, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6592, root_relative_squared_error: 1.7772, total_cost: 6264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8421, average_cost: 0.763, f_measure: 0.4212, kappa: 0.1057, kb_relative_information_score: -14593.14, mean_absolute_error: 0.5665, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8588, predictive_accuracy: 0.395, prior_entropy: 0.6457, recall: 0.395, relative_absolute_error: 2.0583, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.661, root_relative_squared_error: 1.782, total_cost: 6392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7866, average_cost: 0.8692, f_measure: 0.3984, kappa: 0.0918, kb_relative_information_score: -15592.8959, mean_absolute_error: 0.5729, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8502, predictive_accuracy: 0.3765, prior_entropy: 0.6457, recall: 0.3765, relative_absolute_error: 2.0817, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6378, root_relative_squared_error: 1.7195, total_cost: 7282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6228, average_cost: 5.1352, f_measure: 0.7659, kappa: 0.1972, kb_relative_information_score: -869.6417, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7804, predictive_accuracy: 0.7542, prior_entropy: 0.6457, recall: 0.7542, relative_absolute_error: 0.8996, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4826, root_relative_squared_error: 1.301, total_cost: 43023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8488, average_cost: 0.7699, f_measure: 0.3399, kappa: 0.0743, kb_relative_information_score: -15959.5633, mean_absolute_error: 0.5723, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8575, predictive_accuracy: 0.3354, prior_entropy: 0.6457, recall: 0.3354, relative_absolute_error: 2.0793, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6251, root_relative_squared_error: 1.6853, total_cost: 6450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, average_cost: 0.7359, f_measure: 0.3119, kappa: 0.0665, kb_relative_information_score: -16330.7955, mean_absolute_error: 0.5831, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8613, predictive_accuracy: 0.3168, prior_entropy: 0.6457, recall: 0.3168, relative_absolute_error: 2.1186, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6365, root_relative_squared_error: 1.7158, total_cost: 6165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, average_cost: 0.8402, f_measure: 0.6297, kappa: 0.2306, kb_relative_information_score: -11270.9571, mean_absolute_error: 0.4567, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8641, predictive_accuracy: 0.5809, prior_entropy: 0.6457, recall: 0.5809, relative_absolute_error: 1.6592, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.5063, root_relative_squared_error: 1.3651, total_cost: 7039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8596, average_cost: 0.7669, f_measure: 0.5023, kappa: 0.1451, kb_relative_information_score: -13773.391, mean_absolute_error: 0.5133, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8605, predictive_accuracy: 0.4612, prior_entropy: 0.6457, recall: 0.4612, relative_absolute_error: 1.8652, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.564, root_relative_squared_error: 1.5204, total_cost: 6425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8583, average_cost: 0.8692, f_measure: 0.6243, kappa: 0.2247, kb_relative_information_score: -11337.4732, mean_absolute_error: 0.4574, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8625, predictive_accuracy: 0.5753, prior_entropy: 0.6457, recall: 0.5753, relative_absolute_error: 1.6618, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.5057, root_relative_squared_error: 1.3633, total_cost: 7282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8549, average_cost: 0.8348, f_measure: 0.6235, kappa: 0.2255, kb_relative_information_score: -11356.7082, mean_absolute_error: 0.4583, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8638, predictive_accuracy: 0.5746, prior_entropy: 0.6457, recall: 0.5746, relative_absolute_error: 1.6651, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.5071, root_relative_squared_error: 1.3671, total_cost: 6994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, average_cost: 0.8296, f_measure: 0.6113, kappa: 0.2155, kb_relative_information_score: -11564.2714, mean_absolute_error: 0.4652, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8632, predictive_accuracy: 0.5623, prior_entropy: 0.6457, recall: 0.5623, relative_absolute_error: 1.6904, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.5191, root_relative_squared_error: 1.3995, total_cost: 6950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7769, average_cost: 6.4495, f_measure: 0.818, kappa: 0.2611, kb_relative_information_score: 787.0884, mean_absolute_error: 0.217, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8238, predictive_accuracy: 0.8495, prior_entropy: 0.6457, recall: 0.8495, relative_absolute_error: 0.7885, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.9079, total_cost: 54034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, average_cost: 6.023, f_measure: 0.8206, kappa: 0.2864, kb_relative_information_score: 745.1598, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8166, predictive_accuracy: 0.8432, prior_entropy: 0.6457, recall: 0.8432, relative_absolute_error: 0.8125, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3496, root_relative_squared_error: 0.9425, total_cost: 50461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, average_cost: 5.6648, f_measure: 0.8181, kappa: 0.2942, kb_relative_information_score: 1106.2859, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8108, predictive_accuracy: 0.8329, prior_entropy: 0.6457, recall: 0.8329, relative_absolute_error: 0.7788, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3773, root_relative_squared_error: 1.0172, total_cost: 47460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 8.2359, f_measure: 0.7603, kb_relative_information_score: -13932.5699, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.6977, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 1.8167, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.5, root_relative_squared_error: 1.348, total_cost: 69000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8531, average_cost: 5.2128, f_measure: 0.8432, kappa: 0.3868, kb_relative_information_score: 1563.5691, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8403, predictive_accuracy: 0.858, prior_entropy: 0.6457, recall: 0.858, relative_absolute_error: 0.7013, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3163, root_relative_squared_error: 0.8528, total_cost: 43673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8531, average_cost: 5.2128, f_measure: 0.8432, kappa: 0.3868, kb_relative_information_score: 1563.5691, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8403, predictive_accuracy: 0.858, prior_entropy: 0.6457, recall: 0.858, relative_absolute_error: 0.7013, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3163, root_relative_squared_error: 0.8528, total_cost: 43673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6146, average_cost: 2.4028, f_measure: 0.5715, kappa: 0.1152, kb_relative_information_score: -9610.5158, mean_absolute_error: 0.4845, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7953, predictive_accuracy: 0.5155, prior_entropy: 0.6457, recall: 0.5155, relative_absolute_error: 1.7603, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.696, root_relative_squared_error: 1.8765, total_cost: 20131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7774, average_cost: 1.3124, f_measure: 0.5926, kappa: 0.1802, kb_relative_information_score: -8083.2264, mean_absolute_error: 0.4304, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8412, predictive_accuracy: 0.5415, prior_entropy: 0.6457, recall: 0.5415, relative_absolute_error: 1.5639, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6193, root_relative_squared_error: 1.6697, total_cost: 10995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, average_cost: 1.3466, f_measure: 0.6392, kappa: 0.2175, kb_relative_information_score: -7832.2641, mean_absolute_error: 0.4107, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8454, predictive_accuracy: 0.5892, prior_entropy: 0.6457, recall: 0.5892, relative_absolute_error: 1.4924, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.5671, root_relative_squared_error: 1.5289, total_cost: 11282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6788, average_cost: 1.1586, f_measure: 0.5696, kappa: 0.1701, kb_relative_information_score: -9450.9939, mean_absolute_error: 0.4802, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8453, predictive_accuracy: 0.5198, prior_entropy: 0.6457, recall: 0.5198, relative_absolute_error: 1.7447, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.693, root_relative_squared_error: 1.8682, total_cost: 9707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6788, average_cost: 1.1586, f_measure: 0.5696, kappa: 0.1701, kb_relative_information_score: -9450.9939, mean_absolute_error: 0.4802, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8453, predictive_accuracy: 0.5198, prior_entropy: 0.6457, recall: 0.5198, relative_absolute_error: 1.7447, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.693, root_relative_squared_error: 1.8682, total_cost: 9707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8071, average_cost: 6.5322, f_measure: 0.8158, kappa: 0.2508, kb_relative_information_score: 547.3455, mean_absolute_error: 0.2191, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8223, predictive_accuracy: 0.8487, prior_entropy: 0.6457, recall: 0.8487, relative_absolute_error: 0.7962, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.332, root_relative_squared_error: 0.895, total_cost: 54727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7174, average_cost: 8.2359, f_measure: 0.7603, kb_relative_information_score: -921.2761, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.6977, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9157, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3543, root_relative_squared_error: 0.9552, total_cost: 69000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7174, average_cost: 8.2359, f_measure: 0.7603, kb_relative_information_score: -921.2761, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.6977, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9157, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3543, root_relative_squared_error: 0.9552, total_cost: 69000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, average_cost: 8.2359, f_measure: 0.7603, kb_relative_information_score: -978.4505, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.6977, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9152, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.9568, total_cost: 69000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, average_cost: 8.2359, f_measure: 0.7603, kb_relative_information_score: -978.4505, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.6977, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9152, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.9568, total_cost: 69000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, average_cost: 8.2359, f_measure: 0.7603, kb_relative_information_score: -978.4505, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.6977, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9152, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.9568, total_cost: 69000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, average_cost: 8.2359, f_measure: 0.7603, kb_relative_information_score: -978.4505, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.6977, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9152, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.9568, total_cost: 69000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, average_cost: 8.2359, f_measure: 0.7603, kb_relative_information_score: -978.4505, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.6977, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9152, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.9568, total_cost: 69000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, average_cost: 8.2359, f_measure: 0.7603, kb_relative_information_score: -978.4505, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.6977, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9152, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.9568, total_cost: 69000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, average_cost: 8.2359, f_measure: 0.7603, kb_relative_information_score: -978.4505, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.6977, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9152, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.9568, total_cost: 69000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, average_cost: 8.2359, f_measure: 0.7603, kb_relative_information_score: -978.4505, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.6977, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9152, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.9568, total_cost: 69000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, average_cost: 8.2359, f_measure: 0.7603, kb_relative_information_score: -978.4505, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.6977, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9152, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.9568, total_cost: 69000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, average_cost: 8.2359, f_measure: 0.7603, kb_relative_information_score: -978.4505, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.6977, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9152, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.9568, total_cost: 69000,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, average_cost: 8.2359, f_measure: 0.7603, kb_relative_information_score: -978.4505, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.6977, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9152, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.9568, total_cost: 69000,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, average_cost: 8.2359, f_measure: 0.7603, kb_relative_information_score: -978.4505, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.6977, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9152, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.9568, total_cost: 69000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, average_cost: 8.2359, f_measure: 0.7603, kb_relative_information_score: -978.4505, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.6977, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9152, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.9568, total_cost: 69000,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, average_cost: 8.2359, f_measure: 0.7603, kb_relative_information_score: -978.4505, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.6977, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9152, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.9568, total_cost: 69000,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, average_cost: 6.7057, f_measure: 0.818, kappa: 0.2519, kb_relative_information_score: 983.2103, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8444, predictive_accuracy: 0.8565, prior_entropy: 0.6457, recall: 0.8565, relative_absolute_error: 0.7949, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3189, root_relative_squared_error: 0.8598, total_cost: 56180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.776, average_cost: 6.0228, f_measure: 0.8208, kappa: 0.287, kb_relative_information_score: 713.878, mean_absolute_error: 0.2244, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8169, predictive_accuracy: 0.8434, prior_entropy: 0.6457, recall: 0.8434, relative_absolute_error: 0.8154, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.9208, total_cost: 50459,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7284, average_cost: 5.7496, f_measure: 0.8236, kappa: 0.3066, kb_relative_information_score: 917.4209, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.818, predictive_accuracy: 0.8417, prior_entropy: 0.6457, recall: 0.8417, relative_absolute_error: 0.7911, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3552, root_relative_squared_error: 0.9577, total_cost: 48170,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7277, average_cost: 5.7098, f_measure: 0.8232, kappa: 0.3072, kb_relative_information_score: 834.9645, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8172, predictive_accuracy: 0.8405, prior_entropy: 0.6457, recall: 0.8405, relative_absolute_error: 0.7796, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3568, root_relative_squared_error: 0.962, total_cost: 47837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6982, average_cost: 5.0999, f_measure: 0.8231, kappa: 0.3324, kb_relative_information_score: 1453.6918, mean_absolute_error: 0.2005, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8177, predictive_accuracy: 0.8305, prior_entropy: 0.6457, recall: 0.8305, relative_absolute_error: 0.7285, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3869, root_relative_squared_error: 1.0432, total_cost: 42727,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, average_cost: 2.4186, f_measure: 0.7929, kappa: 0.3757, kb_relative_information_score: -413.9879, mean_absolute_error: 0.2323, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.846, predictive_accuracy: 0.7688, prior_entropy: 0.6457, recall: 0.7688, relative_absolute_error: 0.8439, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4474, root_relative_squared_error: 1.2062, total_cost: 20263,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, average_cost: 4.8568, f_measure: 0.8466, kappa: 0.4098, kb_relative_information_score: 1708.8616, mean_absolute_error: 0.1864, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8426, predictive_accuracy: 0.8572, prior_entropy: 0.6457, recall: 0.8572, relative_absolute_error: 0.6772, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3228, root_relative_squared_error: 0.8701, total_cost: 40690,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, average_cost: 1.3466, f_measure: 0.6392, kappa: 0.2175, kb_relative_information_score: -7832.2669, mean_absolute_error: 0.4107, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8454, predictive_accuracy: 0.5892, prior_entropy: 0.6457, recall: 0.5892, relative_absolute_error: 1.4924, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.5671, root_relative_squared_error: 1.5289, total_cost: 11282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, average_cost: 1.4221, f_measure: 0.7241, kappa: 0.3075, kb_relative_information_score: -3641.7932, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8555, predictive_accuracy: 0.6833, prior_entropy: 0.6457, recall: 0.6833, relative_absolute_error: 1.1495, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.5344, root_relative_squared_error: 1.4406, total_cost: 11914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6019, average_cost: 0.7402, f_measure: 0.3485, kappa: 0.0785, kb_relative_information_score: -16062.2869, mean_absolute_error: 0.6583, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8603, predictive_accuracy: 0.3417, prior_entropy: 0.6457, recall: 0.3417, relative_absolute_error: 2.3918, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8113, root_relative_squared_error: 2.1873, total_cost: 6201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, average_cost: 0.7434, f_measure: 0.3439, kappa: 0.0768, kb_relative_information_score: -16181.9283, mean_absolute_error: 0.6615, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.86, predictive_accuracy: 0.3385, prior_entropy: 0.6457, recall: 0.3385, relative_absolute_error: 2.4035, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8133, root_relative_squared_error: 2.1927, total_cost: 6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6115, average_cost: 0.7402, f_measure: 0.3731, kappa: 0.0874, kb_relative_information_score: -15410.9062, mean_absolute_error: 0.6407, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8602, predictive_accuracy: 0.3593, prior_entropy: 0.6457, recall: 0.3593, relative_absolute_error: 2.328, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8005, root_relative_squared_error: 2.158, total_cost: 6201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.641, average_cost: 0.7498, f_measure: 0.4452, kappa: 0.117, kb_relative_information_score: -13381.4342, mean_absolute_error: 0.5861, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8601, predictive_accuracy: 0.4139, prior_entropy: 0.6457, recall: 0.4139, relative_absolute_error: 2.1294, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7655, root_relative_squared_error: 2.0639, total_cost: 6282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5809, average_cost: 0.7538, f_measure: 0.294, kappa: 0.0602, kb_relative_information_score: -17435.947, mean_absolute_error: 0.6953, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8597, predictive_accuracy: 0.3047, prior_entropy: 0.6457, recall: 0.3047, relative_absolute_error: 2.5262, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8338, root_relative_squared_error: 2.248, total_cost: 6315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6062, average_cost: 0.7329, f_measure: 0.3587, kappa: 0.0824, kb_relative_information_score: -15791.9861, mean_absolute_error: 0.651, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8609, predictive_accuracy: 0.349, prior_entropy: 0.6457, recall: 0.349, relative_absolute_error: 2.3653, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.8068, root_relative_squared_error: 2.1752, total_cost: 6140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8552, average_cost: 0.7288, f_measure: 0.4848, kappa: 0.1373, kb_relative_information_score: -14126.9573, mean_absolute_error: 0.5254, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8623, predictive_accuracy: 0.4466, prior_entropy: 0.6457, recall: 0.4466, relative_absolute_error: 1.909, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.5813, root_relative_squared_error: 1.5671, total_cost: 6106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8537, average_cost: 0.7353, f_measure: 0.4772, kappa: 0.1331, kb_relative_information_score: -14223.6618, mean_absolute_error: 0.5281, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8617, predictive_accuracy: 0.4402, prior_entropy: 0.6457, recall: 0.4402, relative_absolute_error: 1.9187, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.5841, root_relative_squared_error: 1.5748, total_cost: 6160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, average_cost: 6.7057, f_measure: 0.818, kappa: 0.2519, kb_relative_information_score: 983.2103, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8444, predictive_accuracy: 0.8565, prior_entropy: 0.6457, recall: 0.8565, relative_absolute_error: 0.7949, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3189, root_relative_squared_error: 0.8598, total_cost: 56180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6379, average_cost: 5.5863, f_measure: 0.7907, kappa: 0.2265, kb_relative_information_score: 331.4015, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7873, predictive_accuracy: 0.7945, prior_entropy: 0.6457, recall: 0.7945, relative_absolute_error: 0.7786, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.4384, root_relative_squared_error: 1.182, total_cost: 46802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, average_cost: 1.1112, f_measure: 0.5387, kappa: 0.1518, kb_relative_information_score: -10514.4727, mean_absolute_error: 0.5088, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8447, predictive_accuracy: 0.4912, prior_entropy: 0.6457, recall: 0.4912, relative_absolute_error: 1.8488, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7133, root_relative_squared_error: 1.9231, total_cost: 9310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6661, average_cost: 1.0994, f_measure: 0.5388, kappa: 0.1523, kb_relative_information_score: -10510.0415, mean_absolute_error: 0.5087, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8453, predictive_accuracy: 0.4913, prior_entropy: 0.6457, recall: 0.4913, relative_absolute_error: 1.8484, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7132, root_relative_squared_error: 1.9229, total_cost: 9211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6665, average_cost: 1.0935, f_measure: 0.5389, kappa: 0.1526, kb_relative_information_score: -10505.6104, mean_absolute_error: 0.5086, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8456, predictive_accuracy: 0.4914, prior_entropy: 0.6457, recall: 0.4914, relative_absolute_error: 1.8479, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7132, root_relative_squared_error: 1.9226, total_cost: 9161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6799, average_cost: 0.878, f_measure: 0.5426, kappa: 0.1642, kb_relative_information_score: -10323.9328, mean_absolute_error: 0.5037, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8565, predictive_accuracy: 0.4963, prior_entropy: 0.6457, recall: 0.4963, relative_absolute_error: 1.8301, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7097, root_relative_squared_error: 1.9134, total_cost: 7356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.82, average_cost: 1.18, f_measure: 0.6688, kappa: 0.2533, kb_relative_information_score: -7849.0523, mean_absolute_error: 0.4076, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8552, predictive_accuracy: 0.6213, prior_entropy: 0.6457, recall: 0.6213, relative_absolute_error: 1.4808, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.5125, root_relative_squared_error: 1.3816, total_cost: 9886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6604, average_cost: 0.916, f_measure: 0.5071, kappa: 0.1414, kb_relative_information_score: -11515.9152, mean_absolute_error: 0.5358, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8525, predictive_accuracy: 0.4642, prior_entropy: 0.6457, recall: 0.4642, relative_absolute_error: 1.9468, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.732, root_relative_squared_error: 1.9734, total_cost: 7674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8115, average_cost: 3.6539, f_measure: 0.8228, kappa: 0.3909, kb_relative_information_score: -1468.597, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8347, predictive_accuracy: 0.8144, prior_entropy: 0.6457, recall: 0.8144, relative_absolute_error: 0.9611, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.363, root_relative_squared_error: 0.9787, total_cost: 30612,

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

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

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