Task
Supervised Classification on rabe_148

Supervised Classification on rabe_148

Task 4462 Supervised Classification rabe_148 247 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9455, kappa: 0.8909, kb_relative_information_score: 569.1895, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9455, predictive_accuracy: 0.9455, prior_entropy: 1, recall: 0.9455, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.4253, scimark_benchmark: 1393.8432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9561, kappa: 0.9121, kb_relative_information_score: 555.2475, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9562, predictive_accuracy: 0.9561, prior_entropy: 1, recall: 0.9561, relative_absolute_error: 0.1742, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.3885, scimark_benchmark: 1338.1299, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9485, kappa: 0.897, kb_relative_information_score: 567.6626, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9486, predictive_accuracy: 0.9485, prior_entropy: 1, recall: 0.9485, relative_absolute_error: 0.1495, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.4101, scimark_benchmark: 1350.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.95, kappa: 0.9, kb_relative_information_score: 580.3748, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9501, predictive_accuracy: 0.95, prior_entropy: 1, recall: 0.95, relative_absolute_error: 0.1241, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.4179, scimark_benchmark: 1325.4787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9455, kappa: 0.8909, kb_relative_information_score: 569.1895, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9455, predictive_accuracy: 0.9455, prior_entropy: 1, recall: 0.9455, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.4253, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9455, kappa: 0.8909, kb_relative_information_score: 569.1895, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9455, predictive_accuracy: 0.9455, prior_entropy: 1, recall: 0.9455, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.4253, scimark_benchmark: 1346.4374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9455, kappa: 0.8909, kb_relative_information_score: 569.1895, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9455, predictive_accuracy: 0.9455, prior_entropy: 1, recall: 0.9455, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.4253, scimark_benchmark: 1313.5633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.9409, kappa: 0.8818, kb_relative_information_score: 560.1558, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9411, predictive_accuracy: 0.9409, prior_entropy: 1, recall: 0.9409, relative_absolute_error: 0.16, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.4485, scimark_benchmark: 1324.8408, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9561, kappa: 0.9121, kb_relative_information_score: 555.2475, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9562, predictive_accuracy: 0.9561, prior_entropy: 1, recall: 0.9561, relative_absolute_error: 0.1742, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.3885, scimark_benchmark: 1332.6745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.9288, kappa: 0.8576, kb_relative_information_score: 542.0282, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9293, predictive_accuracy: 0.9288, prior_entropy: 1, recall: 0.9288, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2644, root_relative_squared_error: 0.5287, scimark_benchmark: 1309.4708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9485, kappa: 0.897, kb_relative_information_score: 567.6626, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9486, predictive_accuracy: 0.9485, prior_entropy: 1, recall: 0.9485, relative_absolute_error: 0.1495, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.4101, scimark_benchmark: 1339.8573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8945, f_measure: 0.9302, kappa: 0.8606, kb_relative_information_score: 546.2542, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9319, predictive_accuracy: 0.9303, prior_entropy: 1, recall: 0.9303, relative_absolute_error: 0.1845, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2622, root_relative_squared_error: 0.5244, scimark_benchmark: 1339.8573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9318, kappa: 0.8636, kb_relative_information_score: 563.549, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9319, predictive_accuracy: 0.9318, prior_entropy: 1, recall: 0.9318, relative_absolute_error: 0.1477, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2533, root_relative_squared_error: 0.5066, scimark_benchmark: 1342.2845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.95, kappa: 0.9, kb_relative_information_score: 580.3748, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9501, predictive_accuracy: 0.95, prior_entropy: 1, recall: 0.95, relative_absolute_error: 0.1241, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.4179, scimark_benchmark: 1367.3264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9455, kappa: 0.8909, kb_relative_information_score: 569.1895, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9455, predictive_accuracy: 0.9455, prior_entropy: 1, recall: 0.9455, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.4253, scimark_benchmark: 1335.2021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9455, kappa: 0.8909, kb_relative_information_score: 569.1895, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9455, predictive_accuracy: 0.9455, prior_entropy: 1, recall: 0.9455, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.4253, scimark_benchmark: 1324.2313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9455, kappa: 0.8909, kb_relative_information_score: 569.1895, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9455, predictive_accuracy: 0.9455, prior_entropy: 1, recall: 0.9455, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.4253, scimark_benchmark: 1337.4384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9561, kappa: 0.9121, kb_relative_information_score: 555.2475, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9562, predictive_accuracy: 0.9561, prior_entropy: 1, recall: 0.9561, relative_absolute_error: 0.1742, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.3885, scimark_benchmark: 1325.6322, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.9288, kappa: 0.8576, kb_relative_information_score: 542.0282, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9293, predictive_accuracy: 0.9288, prior_entropy: 1, recall: 0.9288, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2644, root_relative_squared_error: 0.5287, scimark_benchmark: 1325.6322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9409, kappa: 0.8818, kb_relative_information_score: 574.5716, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9409, predictive_accuracy: 0.9409, prior_entropy: 1, recall: 0.9409, relative_absolute_error: 0.1318, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2366, root_relative_squared_error: 0.4733, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9318, kappa: 0.8636, kb_relative_information_score: 563.549, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9319, predictive_accuracy: 0.9318, prior_entropy: 1, recall: 0.9318, relative_absolute_error: 0.1477, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2533, root_relative_squared_error: 0.5066, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4667, f_measure: 0.4509, kappa: -0.0667, kb_relative_information_score: -44, mean_absolute_error: 0.5333, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.4623, predictive_accuracy: 0.4667, prior_entropy: 1, recall: 0.4667, relative_absolute_error: 1.0667, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7303, root_relative_squared_error: 1.4606, scimark_benchmark: 1286.0816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9455, kappa: 0.8909, kb_relative_information_score: 569.1895, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9455, predictive_accuracy: 0.9455, prior_entropy: 1, recall: 0.9455, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.4253, scimark_benchmark: 1286.0816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.9409, kappa: 0.8818, kb_relative_information_score: 560.1558, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9411, predictive_accuracy: 0.9409, prior_entropy: 1, recall: 0.9409, relative_absolute_error: 0.16, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.4485, scimark_benchmark: 1342.7125, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9394, kappa: 0.8788, kb_relative_information_score: 562.7992, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9395, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.1566, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.4307, scimark_benchmark: 1274.7011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4667, f_measure: 0.4509, kappa: -0.0667, kb_relative_information_score: -44, mean_absolute_error: 0.5333, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.4623, predictive_accuracy: 0.4667, prior_entropy: 1, recall: 0.4667, relative_absolute_error: 1.0667, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7303, root_relative_squared_error: 1.4606, scimark_benchmark: 1340.9134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9455, kappa: 0.8909, kb_relative_information_score: 569.1895, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9455, predictive_accuracy: 0.9455, prior_entropy: 1, recall: 0.9455, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.4253, scimark_benchmark: 1297.2338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.9409, kappa: 0.8818, kb_relative_information_score: 560.1558, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9411, predictive_accuracy: 0.9409, prior_entropy: 1, recall: 0.9409, relative_absolute_error: 0.16, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.4485, scimark_benchmark: 1344.4042, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9318, kappa: 0.8636, kb_relative_information_score: 563.549, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9319, predictive_accuracy: 0.9318, prior_entropy: 1, recall: 0.9318, relative_absolute_error: 0.1477, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2533, root_relative_squared_error: 0.5066, scimark_benchmark: 1371.9645, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.95, kappa: 0.9, kb_relative_information_score: 580.3748, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9501, predictive_accuracy: 0.95, prior_entropy: 1, recall: 0.95, relative_absolute_error: 0.1241, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.4179, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9455, kappa: 0.8909, kb_relative_information_score: 569.1895, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9455, predictive_accuracy: 0.9455, prior_entropy: 1, recall: 0.9455, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.4253, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9455, kappa: 0.8909, kb_relative_information_score: 569.1895, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9455, predictive_accuracy: 0.9455, prior_entropy: 1, recall: 0.9455, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.4253, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9455, kappa: 0.8909, kb_relative_information_score: 569.1895, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9455, predictive_accuracy: 0.9455, prior_entropy: 1, recall: 0.9455, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.4253, scimark_benchmark: 935.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9455, kappa: 0.8909, kb_relative_information_score: 569.1895, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9455, predictive_accuracy: 0.9455, prior_entropy: 1, recall: 0.9455, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.4253, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9455, kappa: 0.8909, kb_relative_information_score: 569.1895, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9455, predictive_accuracy: 0.9455, prior_entropy: 1, recall: 0.9455, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.4253, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.9288, kappa: 0.8576, kb_relative_information_score: 542.0282, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9293, predictive_accuracy: 0.9288, prior_entropy: 1, recall: 0.9288, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2644, root_relative_squared_error: 0.5287, scimark_benchmark: 1335.2029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.9409, kappa: 0.8818, kb_relative_information_score: 560.1558, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9411, predictive_accuracy: 0.9409, prior_entropy: 1, recall: 0.9409, relative_absolute_error: 0.16, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.4485, scimark_benchmark: 1328.1857, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9455, kappa: 0.8909, kb_relative_information_score: 569.1895, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9455, predictive_accuracy: 0.9455, prior_entropy: 1, recall: 0.9455, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.4253, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9485, kappa: 0.897, kb_relative_information_score: 567.6626, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9486, predictive_accuracy: 0.9485, prior_entropy: 1, recall: 0.9485, relative_absolute_error: 0.1495, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.4101, scimark_benchmark: 1315.2176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9455, kappa: 0.8909, kb_relative_information_score: 569.1895, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9455, predictive_accuracy: 0.9455, prior_entropy: 1, recall: 0.9455, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.4253, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9455, kappa: 0.8909, kb_relative_information_score: 569.1895, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9455, predictive_accuracy: 0.9455, prior_entropy: 1, recall: 0.9455, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.4253, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.9394, kappa: 0.8788, kb_relative_information_score: 531.8282, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9397, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.2146, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.225, root_relative_squared_error: 0.4499, scimark_benchmark: 933.1165,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9439, kappa: 0.8879, kb_relative_information_score: 504.7172, mean_absolute_error: 0.1345, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9439, predictive_accuracy: 0.9439, prior_entropy: 1, recall: 0.9439, relative_absolute_error: 0.2691, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.4174, scimark_benchmark: 1327.9952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, f_measure: 0.9212, kappa: 0.8424, kb_relative_information_score: 556.7121, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.922, predictive_accuracy: 0.9212, prior_entropy: 1, recall: 0.9212, relative_absolute_error: 0.1564, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2788, root_relative_squared_error: 0.5577, scimark_benchmark: 1344.3348, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9455, kappa: 0.8909, kb_relative_information_score: 531.5933, mean_absolute_error: 0.1095, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9456, predictive_accuracy: 0.9455, prior_entropy: 1, recall: 0.9455, relative_absolute_error: 0.219, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.4333, scimark_benchmark: 1373.2982, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9424, kappa: 0.8848, kb_relative_information_score: 531.9042, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9427, predictive_accuracy: 0.9424, prior_entropy: 1, recall: 0.9424, relative_absolute_error: 0.2182, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.217, root_relative_squared_error: 0.434, scimark_benchmark: 1313.9606, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9424, kappa: 0.8848, kb_relative_information_score: 576.9417, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9424, predictive_accuracy: 0.9424, prior_entropy: 1, recall: 0.9424, relative_absolute_error: 0.1291, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.4164, scimark_benchmark: 912.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9515, kappa: 0.903, kb_relative_information_score: 468.3461, mean_absolute_error: 0.1678, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9518, predictive_accuracy: 0.9515, prior_entropy: 1, recall: 0.9515, relative_absolute_error: 0.3356, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.4563, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.438, f_measure: 0.4359, kappa: -0.0909, kb_relative_information_score: -1.4076, mean_absolute_error: 0.5007, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.4476, predictive_accuracy: 0.4545, prior_entropy: 1, recall: 0.4545, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0016, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.9667, kappa: 0.9333, kb_relative_information_score: 616, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9669, predictive_accuracy: 0.9667, prior_entropy: 1, recall: 0.9667, relative_absolute_error: 0.0667, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.3651, scimark_benchmark: 937.1527, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9159, f_measure: 0.9136, kappa: 0.8273, kb_relative_information_score: 522.3736, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9143, predictive_accuracy: 0.9136, prior_entropy: 1, recall: 0.9136, relative_absolute_error: 0.2205, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2864, root_relative_squared_error: 0.5728, scimark_benchmark: 1386.5717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9485, kappa: 0.897, kb_relative_information_score: 567.6626, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9486, predictive_accuracy: 0.9485, prior_entropy: 1, recall: 0.9485, relative_absolute_error: 0.1495, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.4101, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.9303, kappa: 0.8606, kb_relative_information_score: 542.2498, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9309, predictive_accuracy: 0.9303, prior_entropy: 1, recall: 0.9303, relative_absolute_error: 0.1925, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2586, root_relative_squared_error: 0.5172, scimark_benchmark: 906.4475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.9061, kappa: 0.8121, kb_relative_information_score: 536, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9061, predictive_accuracy: 0.9061, prior_entropy: 1, recall: 0.9061, relative_absolute_error: 0.1879, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3065, root_relative_squared_error: 0.613, scimark_benchmark: 925.4974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9409, kappa: 0.8818, kb_relative_information_score: 499.5175, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9409, predictive_accuracy: 0.9409, prior_entropy: 1, recall: 0.9409, relative_absolute_error: 0.2756, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.222, root_relative_squared_error: 0.4441, scimark_benchmark: 1330.0694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.9333, kappa: 0.8667, kb_relative_information_score: 575.5935, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9335, predictive_accuracy: 0.9333, prior_entropy: 1, recall: 0.9333, relative_absolute_error: 0.127, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2457, root_relative_squared_error: 0.4914, scimark_benchmark: 1307.3269, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

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