OpenML
Supervised Classification on OVA_Omentum

Supervised Classification on OVA_Omentum

Task 3973 Supervised Classification OVA_Omentum 188 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6097, f_measure: 0.9401, kappa: 0.2864, kb_relative_information_score: 314.6275, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9359, predictive_accuracy: 0.9482, prior_entropy: 0.2882, recall: 0.9482, relative_absolute_error: 0.5437, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2276, root_relative_squared_error: 1.0457, scimark_benchmark: 1452.9459, usercpu_time_millis: 3527230, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 3527190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5056, f_measure: 0.9259, kb_relative_information_score: 14.773, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 0.9809, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2176, root_relative_squared_error: 1, scimark_benchmark: 938.5982, usercpu_time_millis: 1255170, usercpu_time_millis_testing: 308740, usercpu_time_millis_training: 946430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9191, f_measure: 0.9362, kappa: 0.245, kb_relative_information_score: 302.3076, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9311, predictive_accuracy: 0.9443, prior_entropy: 0.2882, recall: 0.9443, relative_absolute_error: 0.5543, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.9997, scimark_benchmark: 1514.5979, usercpu_time_millis: 541420, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 541380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.881, f_measure: 0.9093, kappa: 0.3747, kb_relative_information_score: -1234.7173, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9561, predictive_accuracy: 0.8828, prior_entropy: 0.2882, recall: 0.8828, relative_absolute_error: 1.2287, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.3407, root_relative_squared_error: 1.5656, scimark_benchmark: 1542.6749, usercpu_time_millis: 3123050, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 3122910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5482, f_measure: 0.9422, kappa: 0.3486, kb_relative_information_score: 226.2888, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9392, predictive_accuracy: 0.9463, prior_entropy: 0.2882, recall: 0.9463, relative_absolute_error: 0.6097, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2297, root_relative_squared_error: 1.0553, scimark_benchmark: 1636.8176, usercpu_time_millis: 2962070, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2962020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6586, f_measure: 0.9436, kappa: 0.3643, kb_relative_information_score: 294.4401, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9408, predictive_accuracy: 0.9476, prior_entropy: 0.2882, recall: 0.9476, relative_absolute_error: 0.5573, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2288, root_relative_squared_error: 1.0514, scimark_benchmark: 1567.8378, usercpu_time_millis: 3143610, usercpu_time_millis_testing: 1610, usercpu_time_millis_training: 3142000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.9407, kappa: 0.3054, kb_relative_information_score: -5.3889, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9367, predictive_accuracy: 0.9476, prior_entropy: 0.2882, recall: 0.9476, relative_absolute_error: 0.7104, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.9453, scimark_benchmark: 1632.9213, usercpu_time_millis: 2964560, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2964520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8113, f_measure: 0.9403, kappa: 0.2563, kb_relative_information_score: 25.6524, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9387, predictive_accuracy: 0.9521, prior_entropy: 0.2882, recall: 0.9521, relative_absolute_error: 0.5872, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.8801, scimark_benchmark: 1299.492, usercpu_time_millis: 4129070, usercpu_time_millis_testing: 3550, usercpu_time_millis_training: 4125520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6627, f_measure: 0.9412, kappa: 0.3537, kb_relative_information_score: 208.1262, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9391, predictive_accuracy: 0.9437, prior_entropy: 0.2882, recall: 0.9437, relative_absolute_error: 0.5913, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2373, root_relative_squared_error: 1.0905, scimark_benchmark: 1445.3614, usercpu_time_millis: 3461890, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 3461850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7942, f_measure: 0.9517, kappa: 0.4787, kb_relative_information_score: 300.9804, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9507, predictive_accuracy: 0.9528, prior_entropy: 0.2882, recall: 0.9528, relative_absolute_error: 0.5635, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.8802, usercpu_time_millis: 301.411, usercpu_time_millis_testing: 82.401, usercpu_time_millis_training: 219.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, f_measure: 0.9147, kappa: 0.3912, kb_relative_information_score: -1024.038, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9562, predictive_accuracy: 0.8913, prior_entropy: 0.2882, recall: 0.8913, relative_absolute_error: 1.1415, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.3297, root_relative_squared_error: 1.515, usercpu_time_millis: 892.717, usercpu_time_millis_testing: 626.375, usercpu_time_millis_training: 266.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.9437, kappa: 0.3053, kb_relative_information_score: -25.9816, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9428, predictive_accuracy: 0.954, prior_entropy: 0.2882, recall: 0.954, relative_absolute_error: 0.6838, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.8511, usercpu_time_millis: 49.952, usercpu_time_millis_testing: 1.767, usercpu_time_millis_training: 48.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, f_measure: 0.9435, kappa: 0.4018, kb_relative_information_score: -784.2942, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9433, predictive_accuracy: 0.9437, prior_entropy: 0.2882, recall: 0.9437, relative_absolute_error: 0.7881, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.205, root_relative_squared_error: 0.9419, usercpu_time_millis: 442.374, usercpu_time_millis_testing: 439.579, usercpu_time_millis_training: 2.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5036, f_measure: 0.9259, kb_relative_information_score: -689.4716, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2184, root_relative_squared_error: 1.0034, usercpu_time_millis: 44.87, usercpu_time_millis_testing: 2.987, usercpu_time_millis_training: 41.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.9249, kappa: -0.0038, kb_relative_information_score: -847.0659, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9027, predictive_accuracy: 0.9482, prior_entropy: 0.2882, recall: 0.9482, relative_absolute_error: 0.8852, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.8619, usercpu_time_millis: 211.919, usercpu_time_millis_testing: 7.776, usercpu_time_millis_training: 204.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.9528, kappa: 0.4511, kb_relative_information_score: 103.8161, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9512, predictive_accuracy: 0.9579, prior_entropy: 0.2882, recall: 0.9579, relative_absolute_error: 0.6771, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.839, usercpu_time_millis: 2348.648, usercpu_time_millis_testing: 108.152, usercpu_time_millis_training: 2240.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4858, f_measure: 0.9259, kb_relative_information_score: -22.0297, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2176, root_relative_squared_error: 1, scimark_benchmark: 649.9633, usercpu_time_millis: 30520, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 30410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7231, f_measure: 0.9402, kappa: 0.4231, kb_relative_information_score: 13.2272, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9466, predictive_accuracy: 0.9353, prior_entropy: 0.2882, recall: 0.9353, relative_absolute_error: 0.682, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2206, root_relative_squared_error: 1.0136, scimark_benchmark: 855.6762, usercpu_time_millis: 76700, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 76570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7011, f_measure: 0.9453, kappa: 0.4188, kb_relative_information_score: 224.2041, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.945, predictive_accuracy: 0.9456, prior_entropy: 0.2882, recall: 0.9456, relative_absolute_error: 0.5832, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2294, root_relative_squared_error: 1.0544, scimark_benchmark: 838.2681, usercpu_time_millis: 22770, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 22660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.9268, kappa: 0.0213, kb_relative_information_score: -508.8938, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9199, predictive_accuracy: 0.9495, prior_entropy: 0.2882, recall: 0.9495, relative_absolute_error: 0.8214, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.8763, scimark_benchmark: 483.5637, usercpu_time_millis: 11040, usercpu_time_millis_testing: 450, usercpu_time_millis_training: 10590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7821, f_measure: 0.941, kappa: 0.2929, kb_relative_information_score: -99.6038, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9372, predictive_accuracy: 0.9495, prior_entropy: 0.2882, recall: 0.9495, relative_absolute_error: 0.8145, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.952, scimark_benchmark: 581.3055, usercpu_time_millis: 13010, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 12910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.9327, kappa: 0.1474, kb_relative_information_score: -122.5041, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9271, predictive_accuracy: 0.9476, prior_entropy: 0.2882, recall: 0.9476, relative_absolute_error: 0.7195, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9291, f_measure: 0.9256, kappa: -0.0013, kb_relative_information_score: -475.7206, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9495, prior_entropy: 0.2882, recall: 0.9495, relative_absolute_error: 0.8389, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.8765, scimark_benchmark: 944.8364, usercpu_time_millis: 91620, usercpu_time_millis_testing: 1850, usercpu_time_millis_training: 89770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6596, f_measure: 0.9363, kappa: 0.2017, kb_relative_information_score: 6.9022, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9328, predictive_accuracy: 0.9495, prior_entropy: 0.2882, recall: 0.9495, relative_absolute_error: 0.8516, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.9675, scimark_benchmark: 1664.1268, usercpu_time_millis: 13960, usercpu_time_millis_testing: 970, usercpu_time_millis_training: 12990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.9241, kappa: 0.4155, kb_relative_information_score: -674.3133, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9549, predictive_accuracy: 0.9061, prior_entropy: 0.2882, recall: 0.9061, relative_absolute_error: 0.9855, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.3064, root_relative_squared_error: 1.4078, scimark_benchmark: 1921.4955, usercpu_time_millis: 11280, usercpu_time_millis_testing: 6720, usercpu_time_millis_training: 4560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7429, f_measure: 0.9399, kappa: 0.3203, kb_relative_information_score: 214.9679, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9366, predictive_accuracy: 0.9443, prior_entropy: 0.2882, recall: 0.9443, relative_absolute_error: 0.5861, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2356, root_relative_squared_error: 1.0827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.9441, kappa: 0.3732, kb_relative_information_score: 299.4131, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9414, predictive_accuracy: 0.9476, prior_entropy: 0.2882, recall: 0.9476, relative_absolute_error: 0.5505, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.229, root_relative_squared_error: 1.0522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9297, f_measure: 0.9523, kappa: 0.4468, kb_relative_information_score: 145.147, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9505, predictive_accuracy: 0.9573, prior_entropy: 0.2882, recall: 0.9573, relative_absolute_error: 0.6581, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.8419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7998, kb_relative_information_score: -478.6297, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 0.804, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1963, root_relative_squared_error: 0.9021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, f_measure: 0.9471, kappa: 0.4167, kb_relative_information_score: -135.9975, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9452, predictive_accuracy: 0.9495, prior_entropy: 0.2882, recall: 0.9495, relative_absolute_error: 0.6899, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.9343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.9147, kappa: 0.3912, kb_relative_information_score: -1024.2462, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9562, predictive_accuracy: 0.8913, prior_entropy: 0.2882, recall: 0.8913, relative_absolute_error: 1.1418, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.3298, root_relative_squared_error: 1.5153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6698, f_measure: 0.9413, kappa: 0.3819, kb_relative_information_score: 135.1371, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9415, predictive_accuracy: 0.9411, prior_entropy: 0.2882, recall: 0.9411, relative_absolute_error: 0.6263, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2387, root_relative_squared_error: 1.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5053, f_measure: 0.9259, kb_relative_information_score: -501.7328, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 1.0357, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2177, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, f_measure: 0.9259, kb_relative_information_score: 373.6668, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 0.5219, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.218, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6125, f_measure: 0.9438, kappa: 0.3137, kb_relative_information_score: 436.3433, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9421, predictive_accuracy: 0.9534, prior_entropy: 0.2882, recall: 0.9534, relative_absolute_error: 0.4893, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4745, f_measure: 0.9259, kb_relative_information_score: 292.9178, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2213, root_relative_squared_error: 1.0169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7178, f_measure: 0.9441, kappa: 0.42, kb_relative_information_score: 192.9117, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9451, predictive_accuracy: 0.943, prior_entropy: 0.2882, recall: 0.943, relative_absolute_error: 0.5981, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2387, root_relative_squared_error: 1.0967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8468, f_measure: 0.9372, kappa: 0.2076, kb_relative_information_score: -1345.8742, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9351, predictive_accuracy: 0.9508, prior_entropy: 0.2882, recall: 0.9508, relative_absolute_error: 0.8502, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.9148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4874, f_measure: 0.9259, kb_relative_information_score: 13.1897, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 0.983, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2176, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0047, kb_relative_information_score: -20803.0635, mean_absolute_error: 0.9502, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.0025, predictive_accuracy: 0.0498, prior_entropy: 0.2882, recall: 0.0498, relative_absolute_error: 9.9773, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.9748, root_relative_squared_error: 4.4794,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0047, kb_relative_information_score: -15976.2045, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.0025, predictive_accuracy: 0.0498, prior_entropy: 0.2882, recall: 0.0498, relative_absolute_error: 5.2503, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.5, root_relative_squared_error: 2.2977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6586, f_measure: 0.9436, kappa: 0.3643, kb_relative_information_score: 294.4401, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9408, predictive_accuracy: 0.9476, prior_entropy: 0.2882, recall: 0.9476, relative_absolute_error: 0.5573, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2288, root_relative_squared_error: 1.0514,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8965, f_measure: 0.9351, kappa: 0.2302, kb_relative_information_score: -159.8871, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9297, predictive_accuracy: 0.9437, prior_entropy: 0.2882, recall: 0.9437, relative_absolute_error: 0.7177, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.9473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8497, f_measure: 0.9326, kappa: 0.1684, kb_relative_information_score: -999.4459, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.926, predictive_accuracy: 0.945, prior_entropy: 0.2882, recall: 0.945, relative_absolute_error: 0.9789, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2039, root_relative_squared_error: 0.9371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.9373, kappa: 0.2443, kb_relative_information_score: -803.6158, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9325, predictive_accuracy: 0.9469, prior_entropy: 0.2882, recall: 0.9469, relative_absolute_error: 0.9154, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2012, root_relative_squared_error: 0.9246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.9268, kappa: 0.0213, kb_relative_information_score: -472.7373, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9199, predictive_accuracy: 0.9495, prior_entropy: 0.2882, recall: 0.9495, relative_absolute_error: 0.8097, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.8666,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

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

OpenML APIs