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: 0.6447, f_measure: 0.5715, kappa: 0.0361, kb_relative_information_score: 8.0747, mean_absolute_error: 0.3782, 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: 0.8285, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5849, root_relative_squared_error: 1.2262, scimark_benchmark: 929.0296, usercpu_time_millis: 2930, usercpu_time_millis_training: 2930,
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: 894.7131, usercpu_time_millis: 1390, usercpu_time_millis_training: 1390,
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: 936.1714,
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: 936.1714, usercpu_time_millis: 22510, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 22500,
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: 926.5859, usercpu_time_millis: 11350, usercpu_time_millis_training: 11350,
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: 940.0055, usercpu_time_millis: 5700, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5690,
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: 935.6052, usercpu_time_millis: 2760, usercpu_time_millis_training: 2760,
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: 941.9549, usercpu_time_millis: 1340, usercpu_time_millis_training: 1340,
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: 941.9549, 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: 942.6192, usercpu_time_millis: 390, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 380,
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: 935.6052, usercpu_time_millis: 14470, usercpu_time_millis_training: 14470,
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: 931.7994, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
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: 907.1091, usercpu_time_millis: 310, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 290,
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: 926.4745, usercpu_time_millis: 1500, usercpu_time_millis_training: 1500,
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: 933.5515, usercpu_time_millis: 4630, usercpu_time_millis_training: 4630,
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: 949.7766, usercpu_time_millis: 2480, usercpu_time_millis_testing: 1160, usercpu_time_millis_training: 1320,
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: 922.5036, usercpu_time_millis: 2660, usercpu_time_millis_testing: 1290, usercpu_time_millis_training: 1370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.583, f_measure: 0.581, kappa: 0.0588, kb_relative_information_score: -0.4204, mean_absolute_error: 0.452, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.5733, predictive_accuracy: 0.6, prior_entropy: 0.9383, recall: 0.6, relative_absolute_error: 0.9901, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4749, root_relative_squared_error: 0.9957, scimark_benchmark: 922.5036, usercpu_time_millis: 1060, usercpu_time_millis_training: 1060,
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: 946.6409, usercpu_time_millis: 310, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6038, f_measure: 0.6218, kappa: 0.1844, kb_relative_information_score: 5.577, mean_absolute_error: 0.4005, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.6299, predictive_accuracy: 0.6167, prior_entropy: 0.9383, recall: 0.6167, relative_absolute_error: 0.8774, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.6125, root_relative_squared_error: 1.2841, scimark_benchmark: 901.8743, usercpu_time_millis: 481180, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 481100,
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: 928.8135, usercpu_time_millis: 690, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 680,
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: 946.9304, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
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: 1295.609, usercpu_time_millis: 2640, usercpu_time_millis_testing: 1300, usercpu_time_millis_training: 1340,
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: 906.4475, usercpu_time_millis: 2380, usercpu_time_millis_testing: 1250, usercpu_time_millis_training: 1130,
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: 1318.6467, usercpu_time_millis: 500, usercpu_time_millis_training: 500,
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: 1340.9446, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
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: 1317.5857, usercpu_time_millis: 230, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 160,
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: 1296.8947, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
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: 1336.2908, usercpu_time_millis: 3700, usercpu_time_millis_training: 3700,
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: 1350.2591, usercpu_time_millis: 230, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6038, f_measure: 0.6218, kappa: 0.1844, kb_relative_information_score: 5.577, mean_absolute_error: 0.4005, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.6299, predictive_accuracy: 0.6167, prior_entropy: 0.9383, recall: 0.6167, relative_absolute_error: 0.8774, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.6125, root_relative_squared_error: 1.2841, scimark_benchmark: 1374.9737, usercpu_time_millis: 476770, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 476540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.583, f_measure: 0.581, kappa: 0.0588, kb_relative_information_score: -0.4204, mean_absolute_error: 0.452, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.5733, predictive_accuracy: 0.6, prior_entropy: 0.9383, recall: 0.6, relative_absolute_error: 0.9901, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4749, root_relative_squared_error: 0.9957, scimark_benchmark: 1306.9281, usercpu_time_millis: 870, usercpu_time_millis_training: 870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.583, f_measure: 0.581, kappa: 0.0588, kb_relative_information_score: -0.4204, mean_absolute_error: 0.452, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.5733, predictive_accuracy: 0.6, prior_entropy: 0.9383, recall: 0.6, relative_absolute_error: 0.9901, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4749, root_relative_squared_error: 0.9957, scimark_benchmark: 1342.8584, usercpu_time_millis: 900, usercpu_time_millis_training: 900,
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: 1316.5396, usercpu_time_millis: 240, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4695, f_measure: 0.5235, kappa: -0.0714, kb_relative_information_score: -0.8326, mean_absolute_error: 0.4468, 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: 0.9788, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5756, root_relative_squared_error: 1.2068, scimark_benchmark: 1346.1568, usercpu_time_millis: 1150, usercpu_time_millis_training: 1150,
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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: 1374.9737, usercpu_time_millis: 240, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 160,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6349, f_measure: 0.5623, kappa: 0.0541, kb_relative_information_score: 3.0711, mean_absolute_error: 0.4313, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.6045, predictive_accuracy: 0.65, prior_entropy: 0.9383, recall: 0.65, relative_absolute_error: 0.9448, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4642, root_relative_squared_error: 0.9731, scimark_benchmark: 1325.2932, usercpu_time_millis: 3260, usercpu_time_millis_training: 3260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6508, f_measure: 0.643, kappa: 0.2045, kb_relative_information_score: 14.373, mean_absolute_error: 0.3335, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.6393, predictive_accuracy: 0.65, prior_entropy: 0.9383, recall: 0.65, relative_absolute_error: 0.7307, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5316, root_relative_squared_error: 1.1144, scimark_benchmark: 912.5006, usercpu_time_millis: 270, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6032, f_measure: 0.6478, kappa: 0.2208, kb_relative_information_score: 2.6392, mean_absolute_error: 0.4371, 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: 0.9575, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4711, root_relative_squared_error: 0.9876, scimark_benchmark: 1268.9931, usercpu_time_millis: 2310910, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2310900,
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: 1317.1597, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.475, f_measure: 0.6369, kappa: 0.186, kb_relative_information_score: 8.242, mean_absolute_error: 0.3919, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.633, predictive_accuracy: 0.65, prior_entropy: 0.9383, recall: 0.65, relative_absolute_error: 0.8586, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5065, root_relative_squared_error: 1.0618, scimark_benchmark: 1313.0885, usercpu_time_millis: 9260, usercpu_time_millis_testing: 9260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5934, f_measure: 0.6083, kappa: 0.1753, kb_relative_information_score: 4.996, mean_absolute_error: 0.4036, 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: 0.8841, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.6213, root_relative_squared_error: 1.3026, scimark_benchmark: 1328.8457, usercpu_time_millis: 260, usercpu_time_millis_testing: 260,
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: 1345.7204, usercpu_time_millis: 1530, usercpu_time_millis_testing: 1530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6007, f_measure: 0.5121, kb_relative_information_score: -8.1288, mean_absolute_error: 0.4929, 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: 1.0798, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4934, root_relative_squared_error: 1.0345, scimark_benchmark: 1348.8637, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5024, f_measure: 0.5481, kappa: -0.0163, kb_relative_information_score: 0.6687, mean_absolute_error: 0.4391, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.5365, predictive_accuracy: 0.5833, prior_entropy: 0.9383, recall: 0.5833, relative_absolute_error: 0.962, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5518, root_relative_squared_error: 1.1568, scimark_benchmark: 896.937, usercpu_time_millis: 640, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6117, f_measure: 0.6479, kappa: 0.2222, kb_relative_information_score: 8.0887, mean_absolute_error: 0.3892, 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: 0.8526, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5303, root_relative_squared_error: 1.1117, scimark_benchmark: 1340.4336, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5116, f_measure: 0.5715, kappa: 0.0361, kb_relative_information_score: -0.1419, mean_absolute_error: 0.4476, 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: 0.9807, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5965, root_relative_squared_error: 1.2505, scimark_benchmark: 1318.5627, usercpu_time_millis: 580, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4567, f_measure: 0.5588, kappa: 0.0079, kb_relative_information_score: -1.964, mean_absolute_error: 0.4581, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.5489, predictive_accuracy: 0.5833, prior_entropy: 0.9383, recall: 0.5833, relative_absolute_error: 1.0037, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.6447, root_relative_squared_error: 1.3516, scimark_benchmark: 1305.7138, usercpu_time_millis: 1280, usercpu_time_millis_training: 1280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.652, f_measure: 0.5041, kappa: -0.0329, kb_relative_information_score: 1.4689, mean_absolute_error: 0.4478, 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: 0.981, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4722, root_relative_squared_error: 0.99, scimark_benchmark: 1337.6765, usercpu_time_millis: 13180, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 12980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6569, f_measure: 0.5397, kappa: 0.0278, kb_relative_information_score: 2.1691, mean_absolute_error: 0.4435, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.6009, predictive_accuracy: 0.65, prior_entropy: 0.9383, recall: 0.65, relative_absolute_error: 0.9716, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4692, root_relative_squared_error: 0.9837, scimark_benchmark: 1331.2332, usercpu_time_millis: 6830, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 6780,
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: 1310.6407, usercpu_time_millis: 2230, usercpu_time_millis_training: 2230,
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: 1270.2428, usercpu_time_millis: 1110, usercpu_time_millis_training: 1110,
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: 909.1698, usercpu_time_millis: 650, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.652, f_measure: 0.5206, kappa: -0.036, kb_relative_information_score: 3.0505, mean_absolute_error: 0.434, 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: 0.9508, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4646, root_relative_squared_error: 0.9741, scimark_benchmark: 1314.7093, usercpu_time_millis: 14400, usercpu_time_millis_training: 14400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.583, f_measure: 0.581, kappa: 0.0588, kb_relative_information_score: -0.4204, mean_absolute_error: 0.452, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.5733, predictive_accuracy: 0.6, prior_entropy: 0.9383, recall: 0.6, relative_absolute_error: 0.9901, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4749, root_relative_squared_error: 0.9957, scimark_benchmark: 898.1296, usercpu_time_millis: 910, usercpu_time_millis_training: 910,
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: 1339.7143, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6062, f_measure: 0.6239, kappa: 0.2014, kb_relative_information_score: 7.5953, mean_absolute_error: 0.3833, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.6395, predictive_accuracy: 0.6167, prior_entropy: 0.9383, recall: 0.6167, relative_absolute_error: 0.8398, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.6191, root_relative_squared_error: 1.298, scimark_benchmark: 1330.7934, usercpu_time_millis: 340, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6062, f_measure: 0.6239, kappa: 0.2014, kb_relative_information_score: 7.5953, mean_absolute_error: 0.3833, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.6395, predictive_accuracy: 0.6167, prior_entropy: 0.9383, recall: 0.6167, relative_absolute_error: 0.8398, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.6191, root_relative_squared_error: 1.298, scimark_benchmark: 986.8456, usercpu_time_millis: 310, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6117, f_measure: 0.6573, kappa: 0.2337, kb_relative_information_score: 14.3959, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.6539, 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: 1330.7934, usercpu_time_millis: 750, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6343, f_measure: 0.6839, kappa: 0.2917, kb_relative_information_score: 20.7805, mean_absolute_error: 0.2877, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.713, predictive_accuracy: 0.7167, prior_entropy: 0.9383, recall: 0.7167, relative_absolute_error: 0.6303, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5278, root_relative_squared_error: 1.1066, scimark_benchmark: 1328.4045, usercpu_time_millis: 255360, usercpu_time_millis_training: 255360,
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: 854.5188, usercpu_time_millis: 600, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5531, f_measure: 0.6073, kappa: 0.1165, kb_relative_information_score: 9.8621, mean_absolute_error: 0.3667, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.6041, 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: 1341.994, usercpu_time_millis: 940, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4689, f_measure: 0.5467, kappa: -0.0127, kb_relative_information_score: -3.074, mean_absolute_error: 0.4712, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.5373, predictive_accuracy: 0.6, prior_entropy: 0.9383, recall: 0.6, relative_absolute_error: 1.0322, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5074, root_relative_squared_error: 1.0637, scimark_benchmark: 1300.7817, usercpu_time_millis: 300, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.638, f_measure: 0.7206, kappa: 0.3725, kb_relative_information_score: 14.1461, mean_absolute_error: 0.3543, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.7244, predictive_accuracy: 0.7333, prior_entropy: 0.9383, recall: 0.7333, relative_absolute_error: 0.7762, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4687, root_relative_squared_error: 0.9827, scimark_benchmark: 1348.8402, usercpu_time_millis: 5050, usercpu_time_millis_training: 5050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5476, f_measure: 0.5729, kappa: 0.0868, kb_relative_information_score: 3.9371, mean_absolute_error: 0.427, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.6667, predictive_accuracy: 0.6667, prior_entropy: 0.9383, recall: 0.6667, relative_absolute_error: 0.9354, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4749, root_relative_squared_error: 0.9956, scimark_benchmark: 934.1747, usercpu_time_millis: 1580, usercpu_time_millis_training: 1580,

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