Task
Supervised Classification on Internet-Advertisements

Supervised Classification on Internet-Advertisements

Task 34536 Supervised Classification Internet-Advertisements 57671 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9183, f_measure: 0.9702, kappa: 0.8743, kb_relative_information_score: 2625.9401, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9702, predictive_accuracy: 0.9707, prior_entropy: 0.5848, recall: 0.9707, relative_absolute_error: 0.1943, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.4812, scimark_benchmark: 1102.7776, usercpu_time_millis: 15820, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 15810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.9629, kappa: 0.8437, kb_relative_information_score: 2646.9993, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9627, predictive_accuracy: 0.9634, prior_entropy: 0.5848, recall: 0.9634, relative_absolute_error: 0.1541, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1895, root_relative_squared_error: 0.5461, scimark_benchmark: 1062.9761, usercpu_time_millis: 58630, usercpu_time_millis_testing: 58620, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.962, kappa: 0.8403, kb_relative_information_score: 2463.3983, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9618, predictive_accuracy: 0.9625, prior_entropy: 0.5848, recall: 0.9625, relative_absolute_error: 0.236, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.5259, scimark_benchmark: 1085.457, usercpu_time_millis: 5230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9795, kappa: 0.9132, kb_relative_information_score: 2668.1289, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9797, predictive_accuracy: 0.9799, prior_entropy: 0.5848, recall: 0.9799, relative_absolute_error: 0.1802, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1346, root_relative_squared_error: 0.3881, scimark_benchmark: 1168.2489, usercpu_time_millis: 20410, usercpu_time_millis_testing: 700, usercpu_time_millis_training: 19710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: -1.1595, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1153.0301, usercpu_time_millis: 5190, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 5170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.9665, kappa: 0.8598, kb_relative_information_score: 2589.4175, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9663, predictive_accuracy: 0.9668, prior_entropy: 0.5848, recall: 0.9668, relative_absolute_error: 0.1985, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1698, root_relative_squared_error: 0.4894, scimark_benchmark: 1269.4419, usercpu_time_millis: 19880, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 19870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.9591, kappa: 0.8243, kb_relative_information_score: 2604.6557, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9599, predictive_accuracy: 0.9607, prior_entropy: 0.5848, recall: 0.9607, relative_absolute_error: 0.165, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.5529, scimark_benchmark: 1156.1914, usercpu_time_millis: 5600, usercpu_time_millis_testing: 4650, usercpu_time_millis_training: 950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, f_measure: 0.9635, kappa: 0.8472, kb_relative_information_score: 2654.6239, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9633, predictive_accuracy: 0.9637, prior_entropy: 0.5848, recall: 0.9637, relative_absolute_error: 0.1506, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.5491, scimark_benchmark: 1115.582, usercpu_time_millis: 6880, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 6800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, f_measure: 0.9536, kappa: 0.8085, kb_relative_information_score: 2449.6658, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9539, predictive_accuracy: 0.9533, prior_entropy: 0.5848, recall: 0.9533, relative_absolute_error: 0.2005, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.6072, scimark_benchmark: 777.2788, usercpu_time_millis: 83830, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 83710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9206, f_measure: 0.971, kappa: 0.8772, kb_relative_information_score: 2790.3387, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9712, predictive_accuracy: 0.9716, prior_entropy: 0.5848, recall: 0.9716, relative_absolute_error: 0.1177, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.4854, scimark_benchmark: 999.6293, usercpu_time_millis: 12730, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 12540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.9555, kappa: 0.8061, kb_relative_information_score: 2490.758, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9579, predictive_accuracy: 0.9579, prior_entropy: 0.5848, recall: 0.9579, relative_absolute_error: 0.2025, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.5201, scimark_benchmark: 1358.6724, usercpu_time_millis: 76050, usercpu_time_millis_testing: 76050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.9412, kappa: 0.7379, kb_relative_information_score: 2345.6033, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9482, predictive_accuracy: 0.9463, prior_entropy: 0.5848, recall: 0.9463, relative_absolute_error: 0.2551, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.5852, scimark_benchmark: 1343.4356, usercpu_time_millis: 95770, usercpu_time_millis_testing: 95760, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, f_measure: 0.9677, kappa: 0.8644, kb_relative_information_score: 2670.2943, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9675, predictive_accuracy: 0.968, prior_entropy: 0.5848, recall: 0.968, relative_absolute_error: 0.1603, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1757, root_relative_squared_error: 0.5065, scimark_benchmark: 1231.7213, usercpu_time_millis: 4410, usercpu_time_millis_testing: 1020, usercpu_time_millis_training: 3390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.9538, kappa: 0.8047, kb_relative_information_score: 2425.7123, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9534, predictive_accuracy: 0.9546, prior_entropy: 0.5848, recall: 0.9546, relative_absolute_error: 0.2166, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.5611, scimark_benchmark: 456.2194, usercpu_time_millis: 7100, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 6950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9721, kappa: 0.8826, kb_relative_information_score: 2646.6215, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9721, predictive_accuracy: 0.9726, prior_entropy: 0.5848, recall: 0.9726, relative_absolute_error: 0.1721, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1487, root_relative_squared_error: 0.4285, scimark_benchmark: 1235.7783, usercpu_time_millis: 7210, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 6890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: -1.1595, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1206.8787, usercpu_time_millis: 4520, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 4490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.9651, kappa: 0.8519, kb_relative_information_score: 2487.1483, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9651, predictive_accuracy: 0.9658, prior_entropy: 0.5848, recall: 0.9658, relative_absolute_error: 0.2301, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.5067, scimark_benchmark: 898.4074, usercpu_time_millis: 5490, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 5470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.9548, kappa: 0.8048, kb_relative_information_score: 2534.5685, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9558, predictive_accuracy: 0.9567, prior_entropy: 0.5848, recall: 0.9567, relative_absolute_error: 0.1797, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.5998, scimark_benchmark: 807.5569, usercpu_time_millis: 6600, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 6570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.9654, kappa: 0.8541, kb_relative_information_score: 2519.6758, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9652, predictive_accuracy: 0.9658, prior_entropy: 0.5848, recall: 0.9658, relative_absolute_error: 0.1941, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.4844, scimark_benchmark: 1379.1739, usercpu_time_millis: 4260, usercpu_time_millis_testing: 1080, usercpu_time_millis_training: 3180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.9639, kappa: 0.8472, kb_relative_information_score: 2448.852, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9638, predictive_accuracy: 0.9646, prior_entropy: 0.5848, recall: 0.9646, relative_absolute_error: 0.2236, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.4959, scimark_benchmark: 1286.7452, usercpu_time_millis: 5730, usercpu_time_millis_testing: 1660, usercpu_time_millis_training: 4070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.9609, kappa: 0.8373, kb_relative_information_score: 2593.7664, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9608, predictive_accuracy: 0.961, prior_entropy: 0.5848, recall: 0.961, relative_absolute_error: 0.1653, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1736, root_relative_squared_error: 0.5003, scimark_benchmark: 1161.7353, usercpu_time_millis: 71460, usercpu_time_millis_testing: 71460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.9644, kappa: 0.8522, kb_relative_information_score: 2638.1924, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9644, predictive_accuracy: 0.9643, prior_entropy: 0.5848, recall: 0.9643, relative_absolute_error: 0.1616, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.468, scimark_benchmark: 894.1447, usercpu_time_millis: 11070, usercpu_time_millis_testing: 1870, usercpu_time_millis_training: 9200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.572, f_measure: 0.7953, kb_relative_information_score: -795.3476, mean_absolute_error: 0.2555, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 1.0605, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3477, root_relative_squared_error: 1.002, scimark_benchmark: 828.0441, usercpu_time_millis: 201780, usercpu_time_millis_testing: 12270, usercpu_time_millis_training: 189510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.9382, kappa: 0.7287, kb_relative_information_score: 2155.3858, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9403, predictive_accuracy: 0.9421, prior_entropy: 0.5848, recall: 0.9421, relative_absolute_error: 0.3385, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.5953, scimark_benchmark: 852.7017, usercpu_time_millis: 84670, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 84640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.9603, kappa: 0.829, kb_relative_information_score: 2379.3077, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9613, predictive_accuracy: 0.9619, prior_entropy: 0.5848, recall: 0.9619, relative_absolute_error: 0.2642, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.5178, scimark_benchmark: 1257.3992, usercpu_time_millis: 4480, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 4440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.9635, kappa: 0.8449, kb_relative_information_score: 2434.5721, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9635, predictive_accuracy: 0.9643, prior_entropy: 0.5848, recall: 0.9643, relative_absolute_error: 0.2644, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.5282, scimark_benchmark: 969.4768, usercpu_time_millis: 12420, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 12400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, f_measure: 0.9729, kappa: 0.8849, kb_relative_information_score: 2821.6575, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9731, predictive_accuracy: 0.9735, prior_entropy: 0.5848, recall: 0.9735, relative_absolute_error: 0.1101, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.4695, usercpu_time_millis: 4893.701, usercpu_time_millis_testing: 144.482, usercpu_time_millis_training: 4749.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8755, f_measure: 0.9596, kappa: 0.8247, kb_relative_information_score: 2618.0853, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9616, predictive_accuracy: 0.9616, prior_entropy: 0.5848, recall: 0.9616, relative_absolute_error: 0.1595, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.196, root_relative_squared_error: 0.565, usercpu_time_millis: 2104.231, usercpu_time_millis_testing: 559.427, usercpu_time_millis_training: 1544.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.9135, kappa: 0.635, kb_relative_information_score: 1819.4558, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9124, predictive_accuracy: 0.9149, prior_entropy: 0.5848, recall: 0.9149, relative_absolute_error: 0.3532, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2917, root_relative_squared_error: 0.8407, usercpu_time_millis: 5758.447, usercpu_time_millis_testing: 7.633, usercpu_time_millis_training: 5750.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7953, kb_relative_information_score: 879.8917, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.581, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3741, root_relative_squared_error: 1.0783, usercpu_time_millis: 1328.161, usercpu_time_millis_testing: 512.389, usercpu_time_millis_training: 815.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, f_measure: 0.953, kappa: 0.7965, kb_relative_information_score: 2508.4695, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9542, predictive_accuracy: 0.9552, prior_entropy: 0.5848, recall: 0.9552, relative_absolute_error: 0.1861, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.6102, usercpu_time_millis: 1308.832, usercpu_time_millis_testing: 466.998, usercpu_time_millis_training: 841.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7953, kb_relative_information_score: 879.8917, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.581, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3741, root_relative_squared_error: 1.0783, usercpu_time_millis: 54.147, usercpu_time_millis_testing: 0.812, usercpu_time_millis_training: 53.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8483, f_measure: 0.9523, kappa: 0.7902, kb_relative_information_score: 2513.6893, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9564, predictive_accuracy: 0.9555, prior_entropy: 0.5848, recall: 0.9555, relative_absolute_error: 0.1848, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.211, root_relative_squared_error: 0.6082, usercpu_time_millis: 47.023, usercpu_time_millis_testing: 5.236, usercpu_time_millis_training: 41.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.892, f_measure: 0.9665, kappa: 0.855, kb_relative_information_score: 2727.7011, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9684, predictive_accuracy: 0.968, prior_entropy: 0.5848, recall: 0.968, relative_absolute_error: 0.1329, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.5157, usercpu_time_millis: 172.582, usercpu_time_millis_testing: 0.814, usercpu_time_millis_training: 171.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7953, kb_relative_information_score: 879.8917, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.581, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3741, root_relative_squared_error: 1.0783, usercpu_time_millis: 930.123, usercpu_time_millis_testing: 433.547, usercpu_time_millis_training: 496.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.968, kappa: 0.8624, kb_relative_information_score: 2748.5803, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9692, predictive_accuracy: 0.9692, prior_entropy: 0.5848, recall: 0.9692, relative_absolute_error: 0.1278, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.5058, usercpu_time_millis: 1159.53, usercpu_time_millis_testing: 0.356, usercpu_time_millis_training: 1159.174,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.9639, kappa: 0.8445, kb_relative_information_score: 2680.7229, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9649, predictive_accuracy: 0.9652, prior_entropy: 0.5848, recall: 0.9652, relative_absolute_error: 0.1443, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.5374, usercpu_time_millis: 156.739, usercpu_time_millis_testing: 155.649, usercpu_time_millis_training: 1.09,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.9665, kappa: 0.8576, kb_relative_information_score: 2717.2615, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9667, predictive_accuracy: 0.9674, prior_entropy: 0.5848, recall: 0.9674, relative_absolute_error: 0.1354, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1806, root_relative_squared_error: 0.5206, usercpu_time_millis: 860.448, usercpu_time_millis_testing: 3.699, usercpu_time_millis_training: 856.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.9312, kappa: 0.7164, kb_relative_information_score: 2090.8854, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9318, predictive_accuracy: 0.9308, prior_entropy: 0.5848, recall: 0.9308, relative_absolute_error: 0.2873, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2631, root_relative_squared_error: 0.7583, usercpu_time_millis: 9938.186, usercpu_time_millis_testing: 2.968, usercpu_time_millis_training: 9935.218,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5033, f_measure: 0.7975, kappa: 0.0112, kb_relative_information_score: 895.5511, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8803, predictive_accuracy: 0.8609, prior_entropy: 0.5848, recall: 0.8609, relative_absolute_error: 0.5772, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3729, root_relative_squared_error: 1.0748, usercpu_time_millis: 10.949, usercpu_time_millis_testing: 0.598, usercpu_time_millis_training: 10.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.9174, kappa: 0.6273, kb_relative_information_score: 2007.3686, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9244, predictive_accuracy: 0.9259, prior_entropy: 0.5848, recall: 0.9259, relative_absolute_error: 0.3076, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2722, root_relative_squared_error: 0.7846, usercpu_time_millis: 294.58, usercpu_time_millis_testing: 44.316, usercpu_time_millis_training: 250.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8161, f_measure: 0.9423, kappa: 0.7426, kb_relative_information_score: 2372.7547, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9492, predictive_accuracy: 0.9472, prior_entropy: 0.5848, recall: 0.9472, relative_absolute_error: 0.219, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.662, usercpu_time_millis: 38.699, usercpu_time_millis_testing: 0.419, usercpu_time_millis_training: 38.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.9749, kappa: 0.8944, kb_relative_information_score: 2852.9763, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9749, predictive_accuracy: 0.9753, prior_entropy: 0.5848, recall: 0.9753, relative_absolute_error: 0.1025, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1572, root_relative_squared_error: 0.453, usercpu_time_millis: 598.113, usercpu_time_millis_testing: 43.091, usercpu_time_millis_training: 555.022,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7281, f_measure: 0.9015, kappa: 0.5548, kb_relative_information_score: 1767.2578, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.906, predictive_accuracy: 0.9119, prior_entropy: 0.5848, recall: 0.9119, relative_absolute_error: 0.3658, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2969, root_relative_squared_error: 0.8556, usercpu_time_millis: 16.627, usercpu_time_millis_testing: 0.241, usercpu_time_millis_training: 16.386,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.9312, kappa: 0.7164, kb_relative_information_score: 2090.8854, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9318, predictive_accuracy: 0.9308, prior_entropy: 0.5848, recall: 0.9308, relative_absolute_error: 0.2873, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2631, root_relative_squared_error: 0.7583, usercpu_time_millis: 10278.254, usercpu_time_millis_testing: 3.979, usercpu_time_millis_training: 10274.275,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.965, kappa: 0.8482, kb_relative_information_score: 2706.8219, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9674, predictive_accuracy: 0.9668, prior_entropy: 0.5848, recall: 0.9668, relative_absolute_error: 0.138, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1823, root_relative_squared_error: 0.5255, usercpu_time_millis: 771.702, usercpu_time_millis_testing: 25.696, usercpu_time_millis_training: 746.006,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.975, kappa: 0.8948, kb_relative_information_score: 2852.9763, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9749, predictive_accuracy: 0.9753, prior_entropy: 0.5848, recall: 0.9753, relative_absolute_error: 0.1025, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1572, root_relative_squared_error: 0.453, usercpu_time_millis: 236576.936, usercpu_time_millis_testing: 236575.823, usercpu_time_millis_training: 1.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.9597, kappa: 0.8322, kb_relative_information_score: 2586.7665, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9596, predictive_accuracy: 0.9597, prior_entropy: 0.5848, recall: 0.9597, relative_absolute_error: 0.1671, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.5783, usercpu_time_millis: 387495.621, usercpu_time_millis_testing: 42.528, usercpu_time_millis_training: 387453.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6222, f_measure: 0.7975, kappa: 0.0112, kb_relative_information_score: -581.5262, mean_absolute_error: 0.2378, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8803, predictive_accuracy: 0.8609, prior_entropy: 0.5848, recall: 0.8609, relative_absolute_error: 0.9869, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.9924, usercpu_time_millis: 10.621, usercpu_time_millis_testing: 0.505, usercpu_time_millis_training: 10.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0344, kb_relative_information_score: -11444.0577, mean_absolute_error: 0.86, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.0196, predictive_accuracy: 0.14, prior_entropy: 0.5848, recall: 0.14, relative_absolute_error: 3.5696, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.9274, root_relative_squared_error: 2.6728, usercpu_time_millis: 173.452, usercpu_time_millis_testing: 156.281, usercpu_time_millis_training: 17.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.9632, kappa: 0.8431, kb_relative_information_score: 2482.7011, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9636, predictive_accuracy: 0.9643, prior_entropy: 0.5848, recall: 0.9643, relative_absolute_error: 0.2389, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.5359, scimark_benchmark: 1598.358, usercpu_time_millis: 9360, usercpu_time_millis_testing: 350, usercpu_time_millis_training: 9010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.9591, kappa: 0.8243, kb_relative_information_score: 2604.6557, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9599, predictive_accuracy: 0.9607, prior_entropy: 0.5848, recall: 0.9607, relative_absolute_error: 0.165, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.5529, scimark_benchmark: 1831.781, usercpu_time_millis: 4140, usercpu_time_millis_testing: 3420, usercpu_time_millis_training: 720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9719, kappa: 0.8808, kb_relative_information_score: 2646.2181, mean_absolute_error: 0.042, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9722, predictive_accuracy: 0.9726, prior_entropy: 0.5848, recall: 0.9726, relative_absolute_error: 0.1743, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1506, root_relative_squared_error: 0.4342, scimark_benchmark: 934.2008, usercpu_time_millis: 43770, usercpu_time_millis_testing: 500, usercpu_time_millis_training: 43270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9798, kappa: 0.9148, kb_relative_information_score: 2698.9424, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.98, predictive_accuracy: 0.9802, prior_entropy: 0.5848, recall: 0.9802, relative_absolute_error: 0.169, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1342, root_relative_squared_error: 0.3867, scimark_benchmark: 1510.6979, usercpu_time_millis: 68620, usercpu_time_millis_testing: 4010, usercpu_time_millis_training: 64610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.9591, kappa: 0.8243, kb_relative_information_score: 2604.6557, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9599, predictive_accuracy: 0.9607, prior_entropy: 0.5848, recall: 0.9607, relative_absolute_error: 0.165, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.5529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.9089, kappa: 0.5901, kb_relative_information_score: 1723.765, mean_absolute_error: 0.1109, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9136, predictive_accuracy: 0.918, prior_entropy: 0.5848, recall: 0.918, relative_absolute_error: 0.4603, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2489, root_relative_squared_error: 0.7174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.9174, kappa: 0.6273, kb_relative_information_score: 2007.3686, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9244, predictive_accuracy: 0.9259, prior_entropy: 0.5848, recall: 0.9259, relative_absolute_error: 0.3076, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2722, root_relative_squared_error: 0.7846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: -1.1595, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.9591, kappa: 0.8243, kb_relative_information_score: 2604.6557, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9599, predictive_accuracy: 0.9607, prior_entropy: 0.5848, recall: 0.9607, relative_absolute_error: 0.165, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.5529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.9089, kappa: 0.5901, kb_relative_information_score: 1723.765, mean_absolute_error: 0.1109, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9136, predictive_accuracy: 0.918, prior_entropy: 0.5848, recall: 0.918, relative_absolute_error: 0.4603, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2489, root_relative_squared_error: 0.7174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.9174, kappa: 0.6273, kb_relative_information_score: 2007.3686, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9244, predictive_accuracy: 0.9259, prior_entropy: 0.5848, recall: 0.9259, relative_absolute_error: 0.3076, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2722, root_relative_squared_error: 0.7846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: -1.1595, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.962, kappa: 0.8403, kb_relative_information_score: 2463.3983, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9618, predictive_accuracy: 0.9625, prior_entropy: 0.5848, recall: 0.9625, relative_absolute_error: 0.236, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.5259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: -1.1595, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.9629, kappa: 0.8452, kb_relative_information_score: 2637.2575, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9628, predictive_accuracy: 0.9631, prior_entropy: 0.5848, recall: 0.9631, relative_absolute_error: 0.1563, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1925, root_relative_squared_error: 0.5547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.8876, kappa: 0.4833, kb_relative_information_score: 1018.5737, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8961, predictive_accuracy: 0.9027, prior_entropy: 0.5848, recall: 0.9027, relative_absolute_error: 0.6935, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.8521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.9591, kappa: 0.8243, kb_relative_information_score: 2604.6557, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9599, predictive_accuracy: 0.9607, prior_entropy: 0.5848, recall: 0.9607, relative_absolute_error: 0.165, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.5529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.9749, kappa: 0.8944, kb_relative_information_score: 2734.3508, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9749, predictive_accuracy: 0.9753, prior_entropy: 0.5848, recall: 0.9753, relative_absolute_error: 0.1602, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1543, root_relative_squared_error: 0.4446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: -1.1595, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.9661, kappa: 0.8531, kb_relative_information_score: 2719.7106, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9682, predictive_accuracy: 0.9677, prior_entropy: 0.5848, recall: 0.9677, relative_absolute_error: 0.1369, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1771, root_relative_squared_error: 0.5105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.9642, kappa: 0.8448, kb_relative_information_score: 2683.9534, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9662, predictive_accuracy: 0.9658, prior_entropy: 0.5848, recall: 0.9658, relative_absolute_error: 0.1455, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.5261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.821, kappa: 0.1333, kb_relative_information_score: 105.9709, mean_absolute_error: 0.1702, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8604, predictive_accuracy: 0.8692, prior_entropy: 0.5848, recall: 0.8692, relative_absolute_error: 0.7065, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3022, root_relative_squared_error: 0.8709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8599, f_measure: 0.957, kappa: 0.8115, kb_relative_information_score: 2586.7665, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9609, predictive_accuracy: 0.9597, prior_entropy: 0.5848, recall: 0.9597, relative_absolute_error: 0.1671, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.5783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.9668, kappa: 0.86, kb_relative_information_score: 2717.2615, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9667, predictive_accuracy: 0.9674, prior_entropy: 0.5848, recall: 0.9674, relative_absolute_error: 0.1354, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1806, root_relative_squared_error: 0.5206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7618, f_measure: 0.9136, kappa: 0.6147, kb_relative_information_score: 1924.0916, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9165, predictive_accuracy: 0.921, prior_entropy: 0.5848, recall: 0.921, relative_absolute_error: 0.3277, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2809, root_relative_squared_error: 0.8097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8733, kappa: 0.4036, kb_relative_information_score: 1361.0057, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8964, predictive_accuracy: 0.8966, prior_entropy: 0.5848, recall: 0.8966, relative_absolute_error: 0.5161, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.8484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.9635, kappa: 0.846, kb_relative_information_score: 2659.8437, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9633, predictive_accuracy: 0.964, prior_entropy: 0.5848, recall: 0.964, relative_absolute_error: 0.1494, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.5467,

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

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