Task
Supervised Classification on wine

Supervised Classification on wine

Task 3045 Supervised Classification wine 294 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.883, f_measure: 0.8286, kappa: 0.7337, kb_relative_information_score: 43.0725, mean_absolute_error: 0.1195, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.8322, predictive_accuracy: 0.8276, prior_entropy: 1.5674, recall: 0.8276, relative_absolute_error: 0.2744, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.3302, root_relative_squared_error: 0.7103, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.896, kappa: 0.8393, kb_relative_information_score: 48.1936, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.8962, predictive_accuracy: 0.8966, prior_entropy: 1.5674, recall: 0.8966, relative_absolute_error: 0.172, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.4736, scimark_benchmark: 851.2074, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5568, f_measure: 0.4176, kappa: 0.1292, kb_relative_information_score: 16.9585, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.6569, predictive_accuracy: 0.5172, prior_entropy: 1.5674, recall: 0.5172, relative_absolute_error: 0.7389, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.5673, root_relative_squared_error: 1.2205, scimark_benchmark: 904.6764, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5568, f_measure: 0.4176, kappa: 0.1292, kb_relative_information_score: 16.9585, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.6569, predictive_accuracy: 0.5172, prior_entropy: 1.5674, recall: 0.5172, relative_absolute_error: 0.7389, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.5673, root_relative_squared_error: 1.2205, scimark_benchmark: 931.771, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9829, kappa: 0.9732, kb_relative_information_score: 55.4823, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9838, predictive_accuracy: 0.9828, prior_entropy: 1.5674, recall: 0.9828, relative_absolute_error: 0.0373, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1073, root_relative_squared_error: 0.2308, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.8615, kappa: 0.7879, kb_relative_information_score: 41.7433, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.8659, predictive_accuracy: 0.8621, prior_entropy: 1.5674, recall: 0.8621, relative_absolute_error: 0.3219, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2586, root_relative_squared_error: 0.5563, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9829, kappa: 0.9732, kb_relative_information_score: 55.4823, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9838, predictive_accuracy: 0.9828, prior_entropy: 1.5674, recall: 0.9828, relative_absolute_error: 0.0373, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1073, root_relative_squared_error: 0.2308, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5568, f_measure: 0.4176, kappa: 0.1292, kb_relative_information_score: 16.9585, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.6569, predictive_accuracy: 0.5172, prior_entropy: 1.5674, recall: 0.5172, relative_absolute_error: 0.7389, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.5673, root_relative_squared_error: 1.2205, scimark_benchmark: 947.1781, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9829, kappa: 0.9732, kb_relative_information_score: 55.4823, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9838, predictive_accuracy: 0.9828, prior_entropy: 1.5674, recall: 0.9828, relative_absolute_error: 0.0373, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1073, root_relative_squared_error: 0.2308, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.948, kappa: 0.9196, kb_relative_information_score: 52.4592, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9486, predictive_accuracy: 0.9483, prior_entropy: 1.5674, recall: 0.9483, relative_absolute_error: 0.1043, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1305, root_relative_squared_error: 0.2807, scimark_benchmark: 936.3373, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.8953, kappa: 0.8392, kb_relative_information_score: 47.2839, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.8966, predictive_accuracy: 0.8966, prior_entropy: 1.5674, recall: 0.8966, relative_absolute_error: 0.2132, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.4061, scimark_benchmark: 947.1781, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.883, f_measure: 0.8286, kappa: 0.7337, kb_relative_information_score: 43.0725, mean_absolute_error: 0.1195, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.8322, predictive_accuracy: 0.8276, prior_entropy: 1.5674, recall: 0.8276, relative_absolute_error: 0.2744, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.3302, root_relative_squared_error: 0.7103, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.896, kappa: 0.8393, kb_relative_information_score: 48.1936, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.8962, predictive_accuracy: 0.8966, prior_entropy: 1.5674, recall: 0.8966, relative_absolute_error: 0.172, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.4736, scimark_benchmark: 906.5979, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5568, f_measure: 0.4176, kappa: 0.1292, kb_relative_information_score: 16.9585, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.6569, predictive_accuracy: 0.5172, prior_entropy: 1.5674, recall: 0.5172, relative_absolute_error: 0.7389, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.5673, root_relative_squared_error: 1.2205, scimark_benchmark: 908.9569, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5568, f_measure: 0.4176, kappa: 0.1292, kb_relative_information_score: 16.9585, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.6569, predictive_accuracy: 0.5172, prior_entropy: 1.5674, recall: 0.5172, relative_absolute_error: 0.7389, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.5673, root_relative_squared_error: 1.2205, scimark_benchmark: 919.3788, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9829, kappa: 0.9732, kb_relative_information_score: 55.8279, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9838, predictive_accuracy: 0.9828, prior_entropy: 1.5674, recall: 0.9828, relative_absolute_error: 0.0283, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1063, root_relative_squared_error: 0.2287, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9829, kappa: 0.9732, kb_relative_information_score: 55.4823, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9838, predictive_accuracy: 0.9828, prior_entropy: 1.5674, recall: 0.9828, relative_absolute_error: 0.0373, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1073, root_relative_squared_error: 0.2308, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9829, kappa: 0.9732, kb_relative_information_score: 55.4823, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9838, predictive_accuracy: 0.9828, prior_entropy: 1.5674, recall: 0.9828, relative_absolute_error: 0.0373, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1073, root_relative_squared_error: 0.2308, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9829, kappa: 0.9732, kb_relative_information_score: 55.4823, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9838, predictive_accuracy: 0.9828, prior_entropy: 1.5674, recall: 0.9828, relative_absolute_error: 0.0373, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1073, root_relative_squared_error: 0.2308, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.8615, kappa: 0.7879, kb_relative_information_score: 41.7433, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.8659, predictive_accuracy: 0.8621, prior_entropy: 1.5674, recall: 0.8621, relative_absolute_error: 0.3219, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2586, root_relative_squared_error: 0.5563, scimark_benchmark: 933.3455, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9829, kappa: 0.9732, kb_relative_information_score: 55.4823, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9838, predictive_accuracy: 0.9828, prior_entropy: 1.5674, recall: 0.9828, relative_absolute_error: 0.0373, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1073, root_relative_squared_error: 0.2308, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.948, kappa: 0.9196, kb_relative_information_score: 52.4592, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9486, predictive_accuracy: 0.9483, prior_entropy: 1.5674, recall: 0.9483, relative_absolute_error: 0.1043, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1305, root_relative_squared_error: 0.2807, scimark_benchmark: 935.5664, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.8953, kappa: 0.8392, kb_relative_information_score: 47.2839, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.8966, predictive_accuracy: 0.8966, prior_entropy: 1.5674, recall: 0.8966, relative_absolute_error: 0.2132, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.4061, scimark_benchmark: 1051.249, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9654, kappa: 0.9467, kb_relative_information_score: 49.9904, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9676, predictive_accuracy: 0.9655, prior_entropy: 1.5674, recall: 0.9655, relative_absolute_error: 0.1689, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.3143, scimark_benchmark: 906.0979, usercpu_time_millis: 1250, usercpu_time_millis_testing: 570, usercpu_time_millis_training: 680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9481, kappa: 0.9205, kb_relative_information_score: 50.1505, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9533, predictive_accuracy: 0.9483, prior_entropy: 1.5674, recall: 0.9483, relative_absolute_error: 0.1634, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1475, root_relative_squared_error: 0.3174, scimark_benchmark: 934.695, usercpu_time_millis: 690, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9829, kappa: 0.9732, kb_relative_information_score: 50.396, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9838, predictive_accuracy: 0.9828, prior_entropy: 1.5674, recall: 0.9828, relative_absolute_error: 0.1614, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1382, root_relative_squared_error: 0.2972, scimark_benchmark: 939.7241, usercpu_time_millis: 230, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9829, kappa: 0.9732, kb_relative_information_score: 50.0098, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9838, predictive_accuracy: 0.9828, prior_entropy: 1.5674, recall: 0.9828, relative_absolute_error: 0.1672, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1576, root_relative_squared_error: 0.3391, scimark_benchmark: 914.3583, usercpu_time_millis: 180, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9659, kappa: 0.9467, kb_relative_information_score: 50.6855, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9696, predictive_accuracy: 0.9655, prior_entropy: 1.5674, recall: 0.9655, relative_absolute_error: 0.1539, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.143, root_relative_squared_error: 0.3076, scimark_benchmark: 889.4922, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2957, kb_relative_information_score: 0.1253, mean_absolute_error: 0.4397, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.2167, predictive_accuracy: 0.4655, prior_entropy: 1.5674, recall: 0.4655, relative_absolute_error: 1.0094, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.4681, root_relative_squared_error: 1.007, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8983, f_measure: 0.8448, kappa: 0.7615, kb_relative_information_score: 44.2778, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.8495, predictive_accuracy: 0.8448, prior_entropy: 1.5674, recall: 0.8448, relative_absolute_error: 0.2509, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.6967, scimark_benchmark: 936.7286, usercpu_time_millis: 260, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.8448, kappa: 0.7615, kb_relative_information_score: 44.7753, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.8495, predictive_accuracy: 0.8448, prior_entropy: 1.5674, recall: 0.8448, relative_absolute_error: 0.2401, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.3107, root_relative_squared_error: 0.6684, scimark_benchmark: 935.6052, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9159, f_measure: 0.8281, kappa: 0.735, kb_relative_information_score: 43.9547, mean_absolute_error: 0.1116, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.8333, predictive_accuracy: 0.8276, prior_entropy: 1.5674, recall: 0.8276, relative_absolute_error: 0.2562, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.6955, scimark_benchmark: 940.0055, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.8098, kappa: 0.71, kb_relative_information_score: 42.2362, mean_absolute_error: 0.1255, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.8172, predictive_accuracy: 0.8103, prior_entropy: 1.5674, recall: 0.8103, relative_absolute_error: 0.288, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.3476, root_relative_squared_error: 0.7479, scimark_benchmark: 935.6052, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.8098, kappa: 0.71, kb_relative_information_score: 40.1958, mean_absolute_error: 0.1496, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.8172, predictive_accuracy: 0.8103, prior_entropy: 1.5674, recall: 0.8103, relative_absolute_error: 0.3433, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.3353, root_relative_squared_error: 0.7214, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2957, kb_relative_information_score: 12.6197, mean_absolute_error: 0.3563, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.2167, predictive_accuracy: 0.4655, prior_entropy: 1.5674, recall: 0.4655, relative_absolute_error: 0.818, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.5969, root_relative_squared_error: 1.2842, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.843, kappa: 0.7612, kb_relative_information_score: 43.218, mean_absolute_error: 0.1171, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.8506, predictive_accuracy: 0.8448, prior_entropy: 1.5674, recall: 0.8448, relative_absolute_error: 0.2688, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2765, root_relative_squared_error: 0.5948, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.8952, kappa: 0.8435, kb_relative_information_score: 41.1312, mean_absolute_error: 0.1523, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9149, predictive_accuracy: 0.8966, prior_entropy: 1.5674, recall: 0.8966, relative_absolute_error: 0.3496, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.4888, scimark_benchmark: 935.6052, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.896, kappa: 0.8393, kb_relative_information_score: 48.1936, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.8962, predictive_accuracy: 0.8966, prior_entropy: 1.5674, recall: 0.8966, relative_absolute_error: 0.172, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.4736, scimark_benchmark: 1322.3407, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9308, kappa: 0.8934, kb_relative_information_score: 51.6746, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9328, predictive_accuracy: 0.931, prior_entropy: 1.5674, recall: 0.931, relative_absolute_error: 0.1181, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1597, root_relative_squared_error: 0.3435, scimark_benchmark: 1345.7919, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5568, f_measure: 0.4176, kappa: 0.1292, kb_relative_information_score: 16.9585, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.6569, predictive_accuracy: 0.5172, prior_entropy: 1.5674, recall: 0.5172, relative_absolute_error: 0.7389, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.5673, root_relative_squared_error: 1.2205, scimark_benchmark: 1340.5125, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9829, kappa: 0.9732, kb_relative_information_score: 55.4823, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9838, predictive_accuracy: 0.9828, prior_entropy: 1.5674, recall: 0.9828, relative_absolute_error: 0.0373, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1073, root_relative_squared_error: 0.2308, scimark_benchmark: 1390.8284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9829, kappa: 0.9732, kb_relative_information_score: 55.4823, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9838, predictive_accuracy: 0.9828, prior_entropy: 1.5674, recall: 0.9828, relative_absolute_error: 0.0373, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1073, root_relative_squared_error: 0.2308, scimark_benchmark: 1311.7317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9829, kappa: 0.9732, kb_relative_information_score: 55.4823, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9838, predictive_accuracy: 0.9828, prior_entropy: 1.5674, recall: 0.9828, relative_absolute_error: 0.0373, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1073, root_relative_squared_error: 0.2308, scimark_benchmark: 1314.1215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9829, kappa: 0.9732, kb_relative_information_score: 55.4823, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9838, predictive_accuracy: 0.9828, prior_entropy: 1.5674, recall: 0.9828, relative_absolute_error: 0.0373, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1073, root_relative_squared_error: 0.2308, scimark_benchmark: 1325.6322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9829, kappa: 0.9732, kb_relative_information_score: 55.4823, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9838, predictive_accuracy: 0.9828, prior_entropy: 1.5674, recall: 0.9828, relative_absolute_error: 0.0373, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1073, root_relative_squared_error: 0.2308, scimark_benchmark: 1299.5896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.948, kappa: 0.9196, kb_relative_information_score: 52.4592, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9486, predictive_accuracy: 0.9483, prior_entropy: 1.5674, recall: 0.9483, relative_absolute_error: 0.1043, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1305, root_relative_squared_error: 0.2807, scimark_benchmark: 1319.952, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.8953, kappa: 0.8392, kb_relative_information_score: 47.2839, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.8966, predictive_accuracy: 0.8966, prior_entropy: 1.5674, recall: 0.8966, relative_absolute_error: 0.2132, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.4061, scimark_benchmark: 1325.6322, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9829, kappa: 0.9732, kb_relative_information_score: 55.8279, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9838, predictive_accuracy: 0.9828, prior_entropy: 1.5674, recall: 0.9828, relative_absolute_error: 0.0283, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1063, root_relative_squared_error: 0.2287, scimark_benchmark: 1316.7198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.8953, kappa: 0.8392, kb_relative_information_score: 47.2839, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.8966, predictive_accuracy: 0.8966, prior_entropy: 1.5674, recall: 0.8966, relative_absolute_error: 0.2132, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.4061, scimark_benchmark: 1278.9821, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5568, f_measure: 0.4176, kappa: 0.1292, kb_relative_information_score: 16.9585, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.6569, predictive_accuracy: 0.5172, prior_entropy: 1.5674, recall: 0.5172, relative_absolute_error: 0.7389, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.5673, root_relative_squared_error: 1.2205, scimark_benchmark: 1317.5857, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.948, kappa: 0.9196, kb_relative_information_score: 52.4592, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9486, predictive_accuracy: 0.9483, prior_entropy: 1.5674, recall: 0.9483, relative_absolute_error: 0.1043, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1305, root_relative_squared_error: 0.2807, scimark_benchmark: 1354.3488, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.8953, kappa: 0.8392, kb_relative_information_score: 47.2839, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.8966, predictive_accuracy: 0.8966, prior_entropy: 1.5674, recall: 0.8966, relative_absolute_error: 0.2132, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.4061, scimark_benchmark: 942.9708, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.883, f_measure: 0.8286, kappa: 0.7337, kb_relative_information_score: 43.0725, mean_absolute_error: 0.1195, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.8322, predictive_accuracy: 0.8276, prior_entropy: 1.5674, recall: 0.8276, relative_absolute_error: 0.2744, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.3302, root_relative_squared_error: 0.7103, scimark_benchmark: 1384.4422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9829, kappa: 0.9732, kb_relative_information_score: 55.4823, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9838, predictive_accuracy: 0.9828, prior_entropy: 1.5674, recall: 0.9828, relative_absolute_error: 0.0373, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1073, root_relative_squared_error: 0.2308, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9829, kappa: 0.9732, kb_relative_information_score: 55.4823, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9838, predictive_accuracy: 0.9828, prior_entropy: 1.5674, recall: 0.9828, relative_absolute_error: 0.0373, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1073, root_relative_squared_error: 0.2308, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.883, f_measure: 0.8286, kappa: 0.7337, kb_relative_information_score: 43.0725, mean_absolute_error: 0.1195, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.8322, predictive_accuracy: 0.8276, prior_entropy: 1.5674, recall: 0.8276, relative_absolute_error: 0.2744, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.3302, root_relative_squared_error: 0.7103, scimark_benchmark: 1371.9645, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9829, kappa: 0.9732, kb_relative_information_score: 55.4823, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9838, predictive_accuracy: 0.9828, prior_entropy: 1.5674, recall: 0.9828, relative_absolute_error: 0.0373, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1073, root_relative_squared_error: 0.2308, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9829, kappa: 0.9732, kb_relative_information_score: 55.4823, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9838, predictive_accuracy: 0.9828, prior_entropy: 1.5674, recall: 0.9828, relative_absolute_error: 0.0373, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1073, root_relative_squared_error: 0.2308, scimark_benchmark: 926.6704, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9829, kappa: 0.9732, kb_relative_information_score: 55.4823, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9838, predictive_accuracy: 0.9828, prior_entropy: 1.5674, recall: 0.9828, relative_absolute_error: 0.0373, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.1073, root_relative_squared_error: 0.2308, scimark_benchmark: 1322.7383,

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