OpenML
Supervised Classification on tumors_C

Supervised Classification on tumors_C

Task 3942 Supervised Classification tumors_C 263 runs submitted
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  • mythbusting_1 study_1 study_123 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6245, f_measure: 0.6479, kappa: 0.2222, kb_relative_information_score: 10.595, mean_absolute_error: 0.363, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.6463, predictive_accuracy: 0.65, prior_entropy: 0.9383, recall: 0.65, relative_absolute_error: 0.7953, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5265, root_relative_squared_error: 1.1037, scimark_benchmark: 1351.3295, usercpu_time_millis: 3750, usercpu_time_millis_training: 3750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5617, f_measure: 0.5041, kappa: -0.0329, kb_relative_information_score: 1.0061, mean_absolute_error: 0.4476, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.4186, predictive_accuracy: 0.6333, prior_entropy: 0.9383, recall: 0.6333, relative_absolute_error: 0.9806, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.478, root_relative_squared_error: 1.0022, scimark_benchmark: 899.5042, usercpu_time_millis: 660, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6459, f_measure: 0.5206, kappa: -0.036, kb_relative_information_score: 3.1421, mean_absolute_error: 0.4315, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.5054, predictive_accuracy: 0.6167, prior_entropy: 0.9383, recall: 0.6167, relative_absolute_error: 0.9454, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4653, root_relative_squared_error: 0.9755, scimark_benchmark: 1341.7207, usercpu_time_millis: 7700, usercpu_time_millis_training: 7700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5684, f_measure: 0.6368, kappa: 0.2115, kb_relative_information_score: 8.4664, mean_absolute_error: 0.3812, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.6417, predictive_accuracy: 0.6333, prior_entropy: 0.9383, recall: 0.6333, relative_absolute_error: 0.8352, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5926, root_relative_squared_error: 1.2424, scimark_benchmark: 918.6005, usercpu_time_millis: 200, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5934, f_measure: 0.6083, kappa: 0.1753, kb_relative_information_score: 5.3284, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.6283, predictive_accuracy: 0.6, prior_entropy: 0.9383, recall: 0.6, relative_absolute_error: 0.8763, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.3259, scimark_benchmark: 906.4475, usercpu_time_millis: 1130, usercpu_time_millis_testing: 1120, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5934, f_measure: 0.5271, kappa: 0.0523, kb_relative_information_score: -6.1616, mean_absolute_error: 0.4837, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.5723, predictive_accuracy: 0.5167, prior_entropy: 0.9383, recall: 0.5167, relative_absolute_error: 1.0596, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4945, root_relative_squared_error: 1.0368, scimark_benchmark: 906.4475, usercpu_time_millis: 230, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7021, f_measure: 0.6478, kappa: 0.2208, kb_relative_information_score: 4.9791, mean_absolute_error: 0.4203, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.7038, predictive_accuracy: 0.7, prior_entropy: 0.9383, recall: 0.7, relative_absolute_error: 0.9207, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9471, scimark_benchmark: 1304.9611, usercpu_time_millis: 1590, usercpu_time_millis_training: 1590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5183, f_measure: 0.6, kappa: 0.1209, kb_relative_information_score: 4.7779, mean_absolute_error: 0.4059, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.6, predictive_accuracy: 0.6, prior_entropy: 0.9383, recall: 0.6, relative_absolute_error: 0.8892, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.6282, root_relative_squared_error: 1.317, scimark_benchmark: 926.6704, usercpu_time_millis: 184120, usercpu_time_millis_training: 184120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5037, f_measure: 0.5236, kappa: -0.07, kb_relative_information_score: 0.7471, mean_absolute_error: 0.4337, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.5067, predictive_accuracy: 0.5667, prior_entropy: 0.9383, recall: 0.5667, relative_absolute_error: 0.9502, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.6557, root_relative_squared_error: 1.3747, scimark_benchmark: 1368.9272, usercpu_time_millis: 22200, usercpu_time_millis_training: 22200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.547, f_measure: 0.546, kappa: -0.0196, kb_relative_information_score: 1.0516, mean_absolute_error: 0.4293, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.5356, predictive_accuracy: 0.5667, prior_entropy: 0.9383, recall: 0.5667, relative_absolute_error: 0.9406, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.6431, root_relative_squared_error: 1.3483, scimark_benchmark: 937.1527, usercpu_time_millis: 11150, usercpu_time_millis_training: 11150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5427, f_measure: 0.5235, kappa: -0.0714, kb_relative_information_score: 0.3906, mean_absolute_error: 0.4371, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.5098, predictive_accuracy: 0.55, prior_entropy: 0.9383, recall: 0.55, relative_absolute_error: 0.9576, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.6461, root_relative_squared_error: 1.3545, scimark_benchmark: 1330.0694, usercpu_time_millis: 5340, usercpu_time_millis_training: 5340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5678, f_measure: 0.5715, kappa: 0.0361, kb_relative_information_score: 5.972, mean_absolute_error: 0.3946, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.5633, predictive_accuracy: 0.6, prior_entropy: 0.9383, recall: 0.6, relative_absolute_error: 0.8646, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5885, root_relative_squared_error: 1.2337, scimark_benchmark: 1333.5799, usercpu_time_millis: 2840, usercpu_time_millis_training: 2840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5635, f_measure: 0.546, kappa: -0.0196, kb_relative_information_score: 3.4204, mean_absolute_error: 0.4109, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.5356, predictive_accuracy: 0.5667, prior_entropy: 0.9383, recall: 0.5667, relative_absolute_error: 0.9001, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.602, root_relative_squared_error: 1.2621, scimark_benchmark: 1335.643, usercpu_time_millis: 1380, usercpu_time_millis_training: 1380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5916, f_measure: 0.6066, kappa: 0.1579, kb_relative_information_score: 0.5486, mean_absolute_error: 0.4438, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.6183, predictive_accuracy: 0.6, prior_entropy: 0.9383, recall: 0.6, relative_absolute_error: 0.9722, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5035, root_relative_squared_error: 1.0556, scimark_benchmark: 1287.514, usercpu_time_millis: 550, usercpu_time_millis_testing: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5708, f_measure: 0.6186, kappa: 0.1667, kb_relative_information_score: 0.0391, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.6209, predictive_accuracy: 0.6167, prior_entropy: 0.9383, recall: 0.6167, relative_absolute_error: 0.9872, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5276, root_relative_squared_error: 1.106, scimark_benchmark: 929.0363, usercpu_time_millis: 440, usercpu_time_millis_testing: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5311, f_measure: 0.5844, kappa: 0.0717, kb_relative_information_score: 9.8621, mean_absolute_error: 0.3667, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.5889, predictive_accuracy: 0.6333, prior_entropy: 0.9383, recall: 0.6333, relative_absolute_error: 0.8033, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.6055, root_relative_squared_error: 1.2695, scimark_benchmark: 1318.1432, usercpu_time_millis: 1190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5238, f_measure: 0.5492, kappa: 0.061, kb_relative_information_score: 14.3959, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.7797, predictive_accuracy: 0.6667, prior_entropy: 0.9383, recall: 0.6667, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2104, scimark_benchmark: 1034.1273, usercpu_time_millis: 240, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6245, f_measure: 0.6715, kappa: 0.2636, kb_relative_information_score: 16.6627, mean_absolute_error: 0.3167, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.6696, predictive_accuracy: 0.6833, prior_entropy: 0.9383, recall: 0.6833, relative_absolute_error: 0.6938, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5627, root_relative_squared_error: 1.1797, scimark_benchmark: 876.0664, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6484, f_measure: 0.6333, kappa: 0.1941, kb_relative_information_score: 10.0796, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.6333, predictive_accuracy: 0.6333, prior_entropy: 0.9383, recall: 0.6333, relative_absolute_error: 0.8026, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5373, root_relative_squared_error: 1.1265, scimark_benchmark: 1335.643, usercpu_time_millis: 2040, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6465, f_measure: 0.6815, kappa: 0.2963, kb_relative_information_score: 16.6627, mean_absolute_error: 0.3167, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.68, predictive_accuracy: 0.6833, prior_entropy: 0.9383, recall: 0.6833, relative_absolute_error: 0.6938, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5627, root_relative_squared_error: 1.1797, scimark_benchmark: 942.9518, usercpu_time_millis: 870, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.467, f_measure: 0.5121, kb_relative_information_score: 4.6367, mean_absolute_error: 0.4212, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9383, recall: 0.65, relative_absolute_error: 0.9227, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4916, root_relative_squared_error: 1.0307, scimark_benchmark: 939.449, usercpu_time_millis: 300, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5121, kb_relative_information_score: 12.129, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9383, recall: 0.65, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.2403, scimark_benchmark: 1337.7959, usercpu_time_millis: 2840, usercpu_time_millis_testing: 1380, usercpu_time_millis_training: 1460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6087, f_measure: 0.6288, kappa: 0.176, kb_relative_information_score: 10.2327, mean_absolute_error: 0.3633, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.6255, predictive_accuracy: 0.6333, prior_entropy: 0.9383, recall: 0.6333, relative_absolute_error: 0.7959, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5938, root_relative_squared_error: 1.2448, scimark_benchmark: 1073.494, usercpu_time_millis: 250, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6142, f_measure: 0.581, kappa: 0.0789, kb_relative_information_score: 2.0545, mean_absolute_error: 0.4423, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.6083, predictive_accuracy: 0.65, prior_entropy: 0.9383, recall: 0.65, relative_absolute_error: 0.9691, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4708, root_relative_squared_error: 0.9871, scimark_benchmark: 1313.5726, usercpu_time_millis: 480, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5366, f_measure: 0.5809, kappa: 0.0741, kb_relative_information_score: 3.0615, mean_absolute_error: 0.4167, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.5788, predictive_accuracy: 0.5833, prior_entropy: 0.9383, recall: 0.5833, relative_absolute_error: 0.9128, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.6455, root_relative_squared_error: 1.3533, scimark_benchmark: 1325.942, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4963, f_measure: 0.5517, kappa: 0.0222, kb_relative_information_score: 4.1514, mean_absolute_error: 0.421, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.5655, predictive_accuracy: 0.6333, prior_entropy: 0.9383, recall: 0.6333, relative_absolute_error: 0.9224, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5078, root_relative_squared_error: 1.0646, scimark_benchmark: 1369.9744, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4499, f_measure: 0.5041, kappa: -0.0329, kb_relative_information_score: -1.0859, mean_absolute_error: 0.4633, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.4186, predictive_accuracy: 0.6333, prior_entropy: 0.9383, recall: 0.6333, relative_absolute_error: 1.0149, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.497, root_relative_squared_error: 1.042, scimark_benchmark: 1321.6263, usercpu_time_millis: 1860, usercpu_time_millis_training: 1860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5121, kb_relative_information_score: 12.129, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9383, recall: 0.65, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.2403, scimark_benchmark: 1341.5768, usercpu_time_millis: 980, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4341, f_measure: 0.5275, kappa: -0.0487, kb_relative_information_score: -3.5633, mean_absolute_error: 0.4648, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.5227, predictive_accuracy: 0.5333, prior_entropy: 0.9383, recall: 0.5333, relative_absolute_error: 1.0184, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.6669, root_relative_squared_error: 1.3982, scimark_benchmark: 1358.4523, usercpu_time_millis: 270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4707, f_measure: 0.4948, kappa: -0.0544, kb_relative_information_score: -10.5396, mean_absolute_error: 0.5167, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.5188, predictive_accuracy: 0.4833, prior_entropy: 0.9383, recall: 0.4833, relative_absolute_error: 1.1319, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.7188, root_relative_squared_error: 1.5069, scimark_benchmark: 1465.2979, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5421, f_measure: 0.5969, kappa: 0.0947, kb_relative_information_score: 9.8621, mean_absolute_error: 0.3667, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.5968, predictive_accuracy: 0.6333, prior_entropy: 0.9383, recall: 0.6333, relative_absolute_error: 0.8033, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.6055, root_relative_squared_error: 1.2695, scimark_benchmark: 1392.1129, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.467, f_measure: 0.5121, kb_relative_information_score: -0.1791, mean_absolute_error: 0.4571, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9383, recall: 0.65, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4776, root_relative_squared_error: 1.0013, scimark_benchmark: 1505.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4127, f_measure: 0.5275, kappa: -0.0487, kb_relative_information_score: -4.8183, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.5227, predictive_accuracy: 0.5333, prior_entropy: 0.9383, recall: 0.5333, relative_absolute_error: 1.0464, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.678, root_relative_squared_error: 1.4213, scimark_benchmark: 1501.4698, usercpu_time_millis: 240, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5989, f_measure: 0.6159, kappa: 0.1373, kb_relative_information_score: 9.9941, mean_absolute_error: 0.3653, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.6111, predictive_accuracy: 0.6333, prior_entropy: 0.9383, recall: 0.6333, relative_absolute_error: 0.8002, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5957, root_relative_squared_error: 1.2488, scimark_benchmark: 889.9795, usercpu_time_millis: 6190, usercpu_time_millis_testing: 1810, usercpu_time_millis_training: 4380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5824, f_measure: 0.6159, kappa: 0.1373, kb_relative_information_score: 8.8506, mean_absolute_error: 0.3742, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.6111, predictive_accuracy: 0.6333, prior_entropy: 0.9383, recall: 0.6333, relative_absolute_error: 0.8197, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.6011, root_relative_squared_error: 1.2602, scimark_benchmark: 945.7621, usercpu_time_millis: 2650, usercpu_time_millis_testing: 780, usercpu_time_millis_training: 1870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5836, f_measure: 0.6023, kappa: 0.1085, kb_relative_information_score: 6.2622, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.5963, predictive_accuracy: 0.6167, prior_entropy: 0.9383, recall: 0.6167, relative_absolute_error: 0.8633, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.6139, root_relative_squared_error: 1.2871, scimark_benchmark: 942.3168, usercpu_time_millis: 2040, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 1520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5836, f_measure: 0.6023, kappa: 0.1085, kb_relative_information_score: 6.2622, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.5963, predictive_accuracy: 0.6167, prior_entropy: 0.9383, recall: 0.6167, relative_absolute_error: 0.8633, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.6139, root_relative_squared_error: 1.2871, scimark_benchmark: 939.7623, usercpu_time_millis: 2280, usercpu_time_millis_testing: 540, usercpu_time_millis_training: 1740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4383, f_measure: 0.5119, kappa: -0.0976, kb_relative_information_score: -1.2575, mean_absolute_error: 0.4478, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.4938, predictive_accuracy: 0.55, prior_entropy: 0.9383, recall: 0.55, relative_absolute_error: 0.981, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.6675, root_relative_squared_error: 1.3994, scimark_benchmark: 936.7115, usercpu_time_millis: 23470, usercpu_time_millis_training: 23470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4853, f_measure: 0.5001, kappa: -0.1245, kb_relative_information_score: -2.298, mean_absolute_error: 0.4546, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.4818, predictive_accuracy: 0.5333, prior_entropy: 0.9383, recall: 0.5333, relative_absolute_error: 0.9959, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.6593, root_relative_squared_error: 1.3823, scimark_benchmark: 936.6206, usercpu_time_millis: 11320, usercpu_time_millis_training: 11320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.511, f_measure: 0.5235, kappa: -0.0714, kb_relative_information_score: -2.5923, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.5098, predictive_accuracy: 0.55, prior_entropy: 0.9383, recall: 0.55, relative_absolute_error: 1.0028, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.6663, root_relative_squared_error: 1.3969, scimark_benchmark: 942.1229, usercpu_time_millis: 5580, usercpu_time_millis_training: 5580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5226, f_measure: 0.5715, kappa: 0.0361, kb_relative_information_score: 4.5518, mean_absolute_error: 0.4044, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.5633, predictive_accuracy: 0.6, prior_entropy: 0.9383, recall: 0.6, relative_absolute_error: 0.8859, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.6144, root_relative_squared_error: 1.2881, scimark_benchmark: 938.4285, usercpu_time_millis: 4610, usercpu_time_millis_training: 4610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5965, f_measure: 0.5969, kappa: 0.0947, kb_relative_information_score: 8.8283, mean_absolute_error: 0.3739, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.5968, predictive_accuracy: 0.6333, prior_entropy: 0.9383, recall: 0.6333, relative_absolute_error: 0.8192, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5613, root_relative_squared_error: 1.1768, scimark_benchmark: 923.7642, usercpu_time_millis: 1370, usercpu_time_millis_training: 1370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5525, f_measure: 0.511, kappa: -0.0667, kb_relative_information_score: 7.112, mean_absolute_error: 0.3867, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.4836, predictive_accuracy: 0.6, prior_entropy: 0.9383, recall: 0.6, relative_absolute_error: 0.8472, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.6087, root_relative_squared_error: 1.276, scimark_benchmark: 923.7642, usercpu_time_millis: 10600, usercpu_time_millis_training: 10600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5385, f_measure: 0.5613, kappa: 0.0262, kb_relative_information_score: 2.1147, mean_absolute_error: 0.4224, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.557, predictive_accuracy: 0.5667, prior_entropy: 0.9383, recall: 0.5667, relative_absolute_error: 0.9255, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.6029, root_relative_squared_error: 1.264, scimark_benchmark: 934.5243, usercpu_time_millis: 3100, usercpu_time_millis_training: 3100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5104, f_measure: 0.5887, kappa: 0.0805, kb_relative_information_score: 3.3734, mean_absolute_error: 0.4162, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.5825, predictive_accuracy: 0.6, prior_entropy: 0.9383, recall: 0.6, relative_absolute_error: 0.9118, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5949, root_relative_squared_error: 1.2473, scimark_benchmark: 934.5243, usercpu_time_millis: 1550, usercpu_time_millis_training: 1550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5043, f_measure: 0.5809, kappa: 0.0741, kb_relative_information_score: -0.9128, mean_absolute_error: 0.4502, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.5788, predictive_accuracy: 0.5833, prior_entropy: 0.9383, recall: 0.5833, relative_absolute_error: 0.9863, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5958, root_relative_squared_error: 1.2491, scimark_benchmark: 931.2336, usercpu_time_millis: 770, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.467, f_measure: 0.5121, kb_relative_information_score: -0.1791, mean_absolute_error: 0.4571, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9383, recall: 0.65, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4776, root_relative_squared_error: 1.0013, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7283, f_measure: 0.7359, kappa: 0.4265, kb_relative_information_score: 22.1301, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.7401, predictive_accuracy: 0.7333, prior_entropy: 0.9383, recall: 0.7333, relative_absolute_error: 0.6076, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4665, root_relative_squared_error: 0.978, scimark_benchmark: 929.566, usercpu_time_millis: 694020, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 694010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5934, f_measure: 0.5855, kappa: 0.0942, kb_relative_information_score: 3.3459, mean_absolute_error: 0.4123, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.5879, predictive_accuracy: 0.5833, prior_entropy: 0.9383, recall: 0.5833, relative_absolute_error: 0.9033, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.6001, root_relative_squared_error: 1.2581, scimark_benchmark: 943.6956, usercpu_time_millis: 1400, usercpu_time_millis_training: 1400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4292, f_measure: 0.5202, kappa: -0.0728, kb_relative_information_score: -3.8908, mean_absolute_error: 0.47, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.5111, predictive_accuracy: 0.5333, prior_entropy: 0.9383, recall: 0.5333, relative_absolute_error: 1.0297, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5206, root_relative_squared_error: 1.0914, scimark_benchmark: 943.6956, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.467, f_measure: 0.5121, kb_relative_information_score: -0.1791, mean_absolute_error: 0.4571, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9383, recall: 0.65, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4776, root_relative_squared_error: 1.0013, scimark_benchmark: 932.3943, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5739, f_measure: 0.5765, kappa: 0.1419, kb_relative_information_score: 1.7948, mean_absolute_error: 0.4352, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.6175, predictive_accuracy: 0.5667, prior_entropy: 0.9383, recall: 0.5667, relative_absolute_error: 0.9535, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4948, root_relative_squared_error: 1.0372, scimark_benchmark: 938.9865, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5121, kb_relative_information_score: 12.129, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9383, recall: 0.65, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.2403, scimark_benchmark: 902.4773, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4127, f_measure: 0.5275, kappa: -0.0487, kb_relative_information_score: -4.8183, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.5227, predictive_accuracy: 0.5333, prior_entropy: 0.9383, recall: 0.5333, relative_absolute_error: 1.0464, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.678, root_relative_squared_error: 1.4213, scimark_benchmark: 902.4773, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.546, kappa: -0.0196, kb_relative_information_score: -2.5626, mean_absolute_error: 0.4595, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.5356, predictive_accuracy: 0.5667, prior_entropy: 0.9383, recall: 0.5667, relative_absolute_error: 1.0067, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.504, root_relative_squared_error: 1.0567, scimark_benchmark: 935.8834, usercpu_time_millis: 13980, usercpu_time_millis_training: 13980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3681, f_measure: 0.4388, kappa: -0.2186, kb_relative_information_score: -9.2733, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.445, predictive_accuracy: 0.4333, prior_entropy: 0.9383, recall: 0.4333, relative_absolute_error: 1.1027, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5404, root_relative_squared_error: 1.1329, scimark_benchmark: 917.7039, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5183, f_measure: 0.6, kappa: 0.1209, kb_relative_information_score: 4.7779, mean_absolute_error: 0.4059, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.6, predictive_accuracy: 0.6, prior_entropy: 0.9383, recall: 0.6, relative_absolute_error: 0.8892, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.6282, root_relative_squared_error: 1.317, scimark_benchmark: 941.7954, usercpu_time_millis: 152330, usercpu_time_millis_training: 152330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6245, f_measure: 0.6715, kappa: 0.2636, kb_relative_information_score: 16.6627, mean_absolute_error: 0.3167, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.6696, predictive_accuracy: 0.6833, prior_entropy: 0.9383, recall: 0.6833, relative_absolute_error: 0.6938, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5627, root_relative_squared_error: 1.1797, scimark_benchmark: 934.5243, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5348, f_measure: 0.5723, kappa: 0.0417, kb_relative_information_score: 8.6731, mean_absolute_error: 0.3756, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.569, predictive_accuracy: 0.6167, prior_entropy: 0.9383, recall: 0.6167, relative_absolute_error: 0.823, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.6095, root_relative_squared_error: 1.2778, scimark_benchmark: 935.8834, usercpu_time_millis: 58650, usercpu_time_millis_training: 58650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5354, f_measure: 0.5431, kappa: 0.0378, kb_relative_information_score: -2.4195, mean_absolute_error: 0.4562, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.563, predictive_accuracy: 0.5333, prior_entropy: 0.9383, recall: 0.5333, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.6382, root_relative_squared_error: 1.3379, scimark_benchmark: 943.2817, usercpu_time_millis: 11560, usercpu_time_millis_training: 11560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4695, f_measure: 0.5235, kappa: -0.0714, kb_relative_information_score: -1.0112, mean_absolute_error: 0.4483, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.5098, predictive_accuracy: 0.55, prior_entropy: 0.9383, recall: 0.55, relative_absolute_error: 0.9822, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5778, root_relative_squared_error: 1.2113, scimark_benchmark: 935.8986, usercpu_time_millis: 1190, usercpu_time_millis_training: 1190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.602, build_cpu_time: 6.3047, build_memory: 1490005019.2, f_measure: 0.5723, kappa: 0.0417, kb_relative_information_score: 2.134, mean_absolute_error: 0.4382, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.569, predictive_accuracy: 0.6167, prior_entropy: 0.9383, recall: 0.6167, relative_absolute_error: 0.96, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4785, root_relative_squared_error: 1.0031, scimark_benchmark: 946.4066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6264, build_cpu_time: 2.64, build_memory: 1324156162.4, f_measure: 0.643, kappa: 0.1968, kb_relative_information_score: 3.6526, mean_absolute_error: 0.4276, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.6448, predictive_accuracy: 0.6667, prior_entropy: 0.9383, recall: 0.6667, relative_absolute_error: 0.9367, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4729, root_relative_squared_error: 0.9914, scimark_benchmark: 947.3029,

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