OpenML
Supervised Classification on analcatdata_germangss

Supervised Classification on analcatdata_germangss

Task 3887 Supervised Classification analcatdata_germangss 555 runs submitted
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  • study_1 study_107 study_41 study_50 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.8969, kappa: 0.6965, kb_relative_information_score: 246.3008, mean_absolute_error: 0.1286, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8969, predictive_accuracy: 0.9, prior_entropy: 0.7716, recall: 0.9, relative_absolute_error: 0.368, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2576, root_relative_squared_error: 0.6169, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.8876, kappa: 0.6716, kb_relative_information_score: 230.717, mean_absolute_error: 0.1403, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8868, predictive_accuracy: 0.89, prior_entropy: 0.7716, recall: 0.89, relative_absolute_error: 0.4014, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2666, root_relative_squared_error: 0.6385, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6768, kb_relative_information_score: -0.274, mean_absolute_error: 0.3496, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.6006, predictive_accuracy: 0.775, prior_entropy: 0.7716, recall: 0.775, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.4176, root_relative_squared_error: 1, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, f_measure: 0.8899, kappa: 0.6778, kb_relative_information_score: 257.9182, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8892, predictive_accuracy: 0.8925, prior_entropy: 0.7716, recall: 0.8925, relative_absolute_error: 0.3093, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.6991, scimark_benchmark: 926.5859, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.8763, kappa: 0.6358, kb_relative_information_score: 241.2293, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8755, predictive_accuracy: 0.88, prior_entropy: 0.7716, recall: 0.88, relative_absolute_error: 0.3545, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3041, root_relative_squared_error: 0.7282, scimark_benchmark: 936.1714, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.874, kappa: 0.6298, kb_relative_information_score: 227.3556, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.873, predictive_accuracy: 0.8775, prior_entropy: 0.7716, recall: 0.8775, relative_absolute_error: 0.3864, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3205, root_relative_squared_error: 0.7675, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8921, f_measure: 0.8109, kappa: 0.4213, kb_relative_information_score: 168.3578, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8174, predictive_accuracy: 0.83, prior_entropy: 0.7716, recall: 0.83, relative_absolute_error: 0.5194, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3564, root_relative_squared_error: 0.8535, scimark_benchmark: 940.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8193, f_measure: 0.7853, kappa: 0.349, kb_relative_information_score: 127.1853, mean_absolute_error: 0.2107, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.7827, predictive_accuracy: 0.8025, prior_entropy: 0.7716, recall: 0.8025, relative_absolute_error: 0.6027, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.9767, scimark_benchmark: 940.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6768, kb_relative_information_score: 105.5716, mean_absolute_error: 0.225, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.6006, predictive_accuracy: 0.775, prior_entropy: 0.7716, recall: 0.775, relative_absolute_error: 0.6438, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.4743, root_relative_squared_error: 1.1359, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8931, kappa: 0.6954, kb_relative_information_score: 234.8713, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8939, predictive_accuracy: 0.8925, prior_entropy: 0.7716, recall: 0.8925, relative_absolute_error: 0.3947, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2875, root_relative_squared_error: 0.6885, scimark_benchmark: 942.6192, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9372, f_measure: 0.8937, kappa: 0.6916, kb_relative_information_score: -136.6022, mean_absolute_error: 0.3912, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8929, predictive_accuracy: 0.895, prior_entropy: 0.7716, recall: 0.895, relative_absolute_error: 1.1194, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.398, root_relative_squared_error: 0.9532, scimark_benchmark: 935.8024, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.7264, kappa: 0.1469, kb_relative_information_score: 50.2911, mean_absolute_error: 0.2996, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8395, predictive_accuracy: 0.7975, prior_entropy: 0.7716, recall: 0.7975, relative_absolute_error: 0.8571, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.8844, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8931, kappa: 0.6954, kb_relative_information_score: 234.8713, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8939, predictive_accuracy: 0.8925, prior_entropy: 0.7716, recall: 0.8925, relative_absolute_error: 0.3947, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2875, root_relative_squared_error: 0.6885, scimark_benchmark: 899.1108, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.8909, kappa: 0.683, kb_relative_information_score: 173.2153, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8901, predictive_accuracy: 0.8925, prior_entropy: 0.7716, recall: 0.8925, relative_absolute_error: 0.5858, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.6606, scimark_benchmark: 919.6941, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.8883, kappa: 0.6696, kb_relative_information_score: 197.9321, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8888, predictive_accuracy: 0.8925, prior_entropy: 0.7716, recall: 0.8925, relative_absolute_error: 0.5007, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2737, root_relative_squared_error: 0.6555, scimark_benchmark: 907.1091, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.8819, kappa: 0.6483, kb_relative_information_score: 252.1571, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8836, predictive_accuracy: 0.8875, prior_entropy: 0.7716, recall: 0.8875, relative_absolute_error: 0.3219, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3354, root_relative_squared_error: 0.8032, scimark_benchmark: 939.3886, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.8819, kappa: 0.6483, kb_relative_information_score: 252.1571, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8836, predictive_accuracy: 0.8875, prior_entropy: 0.7716, recall: 0.8875, relative_absolute_error: 0.3219, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3354, root_relative_squared_error: 0.8032, scimark_benchmark: 952.4682, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.8942, kappa: 0.6833, kb_relative_information_score: 220.3024, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8985, predictive_accuracy: 0.9, prior_entropy: 0.7716, recall: 0.9, relative_absolute_error: 0.4562, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.6238, scimark_benchmark: 938.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.8942, kappa: 0.6833, kb_relative_information_score: 220.3024, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8985, predictive_accuracy: 0.9, prior_entropy: 0.7716, recall: 0.9, relative_absolute_error: 0.4562, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.6238, scimark_benchmark: 938.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.8942, kappa: 0.6833, kb_relative_information_score: 220.3024, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8985, predictive_accuracy: 0.9, prior_entropy: 0.7716, recall: 0.9, relative_absolute_error: 0.4562, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.6238, scimark_benchmark: 922.5036, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.8876, kappa: 0.6716, kb_relative_information_score: 221.2521, mean_absolute_error: 0.1513, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8868, predictive_accuracy: 0.89, prior_entropy: 0.7716, recall: 0.89, relative_absolute_error: 0.4329, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2872, root_relative_squared_error: 0.6877, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.9163, kappa: 0.7567, kb_relative_information_score: 258.5488, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9159, predictive_accuracy: 0.9175, prior_entropy: 0.7716, recall: 0.9175, relative_absolute_error: 0.3471, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2405, root_relative_squared_error: 0.5759, scimark_benchmark: 944.5341, usercpu_time_millis: 680, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.8942, kappa: 0.6833, kb_relative_information_score: 220.3024, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8985, predictive_accuracy: 0.9, prior_entropy: 0.7716, recall: 0.9, relative_absolute_error: 0.4562, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.6238, scimark_benchmark: 952.4682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.8951, kappa: 0.6928, kb_relative_information_score: 226.0034, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8945, predictive_accuracy: 0.8975, prior_entropy: 0.7716, recall: 0.8975, relative_absolute_error: 0.4289, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2667, root_relative_squared_error: 0.6387, scimark_benchmark: 942.3809, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.9108, kappa: 0.7399, kb_relative_information_score: 236.3419, mean_absolute_error: 0.1412, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9104, predictive_accuracy: 0.9125, prior_entropy: 0.7716, recall: 0.9125, relative_absolute_error: 0.404, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2529, root_relative_squared_error: 0.6057, scimark_benchmark: 942.3809, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8931, kappa: 0.6954, kb_relative_information_score: 234.8713, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8939, predictive_accuracy: 0.8925, prior_entropy: 0.7716, recall: 0.8925, relative_absolute_error: 0.3947, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2875, root_relative_squared_error: 0.6885, scimark_benchmark: 901.8743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.8819, kappa: 0.6483, kb_relative_information_score: 252.1571, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8836, predictive_accuracy: 0.8875, prior_entropy: 0.7716, recall: 0.8875, relative_absolute_error: 0.3219, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3354, root_relative_squared_error: 0.8032, scimark_benchmark: 906.4475, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.8942, kappa: 0.6833, kb_relative_information_score: 220.3024, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8985, predictive_accuracy: 0.9, prior_entropy: 0.7716, recall: 0.9, relative_absolute_error: 0.4562, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.6238, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.8948, kappa: 0.686, kb_relative_information_score: 204.2521, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8979, predictive_accuracy: 0.9, prior_entropy: 0.7716, recall: 0.9, relative_absolute_error: 0.4972, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2754, root_relative_squared_error: 0.6596, scimark_benchmark: 1335.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.8942, kappa: 0.6833, kb_relative_information_score: 220.3024, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8985, predictive_accuracy: 0.9, prior_entropy: 0.7716, recall: 0.9, relative_absolute_error: 0.4562, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.6238, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.8942, kappa: 0.6833, kb_relative_information_score: 220.3024, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8985, predictive_accuracy: 0.9, prior_entropy: 0.7716, recall: 0.9, relative_absolute_error: 0.4562, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.6238, scimark_benchmark: 1342.8632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.8951, kappa: 0.6928, kb_relative_information_score: 226.0034, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8945, predictive_accuracy: 0.8975, prior_entropy: 0.7716, recall: 0.8975, relative_absolute_error: 0.4289, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2667, root_relative_squared_error: 0.6387, scimark_benchmark: 1322.5413, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.8909, kappa: 0.683, kb_relative_information_score: 173.2153, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8901, predictive_accuracy: 0.8925, prior_entropy: 0.7716, recall: 0.8925, relative_absolute_error: 0.5858, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.6606, scimark_benchmark: 1314.9949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.8819, kappa: 0.6483, kb_relative_information_score: 252.1571, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8836, predictive_accuracy: 0.8875, prior_entropy: 0.7716, recall: 0.8875, relative_absolute_error: 0.3219, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3354, root_relative_squared_error: 0.8032, scimark_benchmark: 1342.8632, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.8942, kappa: 0.6833, kb_relative_information_score: 220.3024, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8985, predictive_accuracy: 0.9, prior_entropy: 0.7716, recall: 0.9, relative_absolute_error: 0.4562, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.6238, scimark_benchmark: 1342.8632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.8942, kappa: 0.6833, kb_relative_information_score: 220.3024, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8985, predictive_accuracy: 0.9, prior_entropy: 0.7716, recall: 0.9, relative_absolute_error: 0.4562, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.6238, scimark_benchmark: 1325.7874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.8942, kappa: 0.6833, kb_relative_information_score: 220.3024, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8985, predictive_accuracy: 0.9, prior_entropy: 0.7716, recall: 0.9, relative_absolute_error: 0.4562, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.6238, scimark_benchmark: 1353.0836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.8942, kappa: 0.6833, kb_relative_information_score: 220.3024, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8985, predictive_accuracy: 0.9, prior_entropy: 0.7716, recall: 0.9, relative_absolute_error: 0.4562, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.6238, scimark_benchmark: 1336.0954,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.8951, kappa: 0.6928, kb_relative_information_score: 226.0034, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8945, predictive_accuracy: 0.8975, prior_entropy: 0.7716, recall: 0.8975, relative_absolute_error: 0.4289, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2667, root_relative_squared_error: 0.6387, scimark_benchmark: 1312.0581, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8931, kappa: 0.6954, kb_relative_information_score: 234.8713, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8939, predictive_accuracy: 0.8925, prior_entropy: 0.7716, recall: 0.8925, relative_absolute_error: 0.3947, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2875, root_relative_squared_error: 0.6885, scimark_benchmark: 1329.8902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.8948, kappa: 0.686, kb_relative_information_score: 204.2521, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8979, predictive_accuracy: 0.9, prior_entropy: 0.7716, recall: 0.9, relative_absolute_error: 0.4972, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2754, root_relative_squared_error: 0.6596, scimark_benchmark: 1380.2233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.9108, kappa: 0.7399, kb_relative_information_score: 236.3419, mean_absolute_error: 0.1412, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9104, predictive_accuracy: 0.9125, prior_entropy: 0.7716, recall: 0.9125, relative_absolute_error: 0.404, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2529, root_relative_squared_error: 0.6057, scimark_benchmark: 1312.0581, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, f_measure: 0.8896, kappa: 0.6821, kb_relative_information_score: 227.4396, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8892, predictive_accuracy: 0.89, prior_entropy: 0.7716, recall: 0.89, relative_absolute_error: 0.4188, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2772, root_relative_squared_error: 0.6637, scimark_benchmark: 1064.8317, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8931, kappa: 0.6954, kb_relative_information_score: 234.8713, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8939, predictive_accuracy: 0.8925, prior_entropy: 0.7716, recall: 0.8925, relative_absolute_error: 0.3947, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2875, root_relative_squared_error: 0.6885, scimark_benchmark: 1339.8573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.8912, kappa: 0.674, kb_relative_information_score: 199.6982, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.896, predictive_accuracy: 0.8975, prior_entropy: 0.7716, recall: 0.8975, relative_absolute_error: 0.512, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2764, root_relative_squared_error: 0.6619, scimark_benchmark: 1337.3264, usercpu_time_millis: 90, usercpu_time_millis_testing: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.832, kappa: 0.4783, kb_relative_information_score: 133.7129, mean_absolute_error: 0.2441, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8747, predictive_accuracy: 0.8575, prior_entropy: 0.7716, recall: 0.8575, relative_absolute_error: 0.6985, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.312, root_relative_squared_error: 0.747, scimark_benchmark: 937.1527, usercpu_time_millis: 120, usercpu_time_millis_testing: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.8909, kappa: 0.683, kb_relative_information_score: 173.2153, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8901, predictive_accuracy: 0.8925, prior_entropy: 0.7716, recall: 0.8925, relative_absolute_error: 0.5858, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.6606, scimark_benchmark: 1345.3152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.8883, kappa: 0.6696, kb_relative_information_score: 197.9321, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8888, predictive_accuracy: 0.8925, prior_entropy: 0.7716, recall: 0.8925, relative_absolute_error: 0.5007, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2737, root_relative_squared_error: 0.6555, scimark_benchmark: 1339.0817, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8556, f_measure: 0.9057, kappa: 0.725, kb_relative_information_score: 254.7814, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9052, predictive_accuracy: 0.9075, prior_entropy: 0.7716, recall: 0.9075, relative_absolute_error: 0.3383, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2847, root_relative_squared_error: 0.6817, scimark_benchmark: 1357.483, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6569, f_measure: 0.7938, kappa: 0.4207, kb_relative_information_score: 61.2411, mean_absolute_error: 0.2876, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.7987, predictive_accuracy: 0.79, prior_entropy: 0.7716, recall: 0.79, relative_absolute_error: 0.823, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3803, root_relative_squared_error: 0.9106, scimark_benchmark: 1358.4523, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.8883, kappa: 0.6696, kb_relative_information_score: 197.9321, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8888, predictive_accuracy: 0.8925, prior_entropy: 0.7716, recall: 0.8925, relative_absolute_error: 0.5007, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2737, root_relative_squared_error: 0.6555, scimark_benchmark: 1318.8785, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8963, f_measure: 0.8698, kappa: 0.6142, kb_relative_information_score: 240.4243, mean_absolute_error: 0.1245, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8697, predictive_accuracy: 0.875, prior_entropy: 0.7716, recall: 0.875, relative_absolute_error: 0.3562, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3108, root_relative_squared_error: 0.7444, scimark_benchmark: 1335.5424, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8931, kappa: 0.6954, kb_relative_information_score: 234.8713, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8939, predictive_accuracy: 0.8925, prior_entropy: 0.7716, recall: 0.8925, relative_absolute_error: 0.3947, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2875, root_relative_squared_error: 0.6885, scimark_benchmark: 1349.1028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.7992, kappa: 0.3738, kb_relative_information_score: 107.9062, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8506, predictive_accuracy: 0.835, prior_entropy: 0.7716, recall: 0.835, relative_absolute_error: 0.7535, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3306, root_relative_squared_error: 0.7916, scimark_benchmark: 932.5646, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.8942, kappa: 0.6833, kb_relative_information_score: 220.3024, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8985, predictive_accuracy: 0.9, prior_entropy: 0.7716, recall: 0.9, relative_absolute_error: 0.4562, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.6238, scimark_benchmark: 1341.4232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.8909, kappa: 0.683, kb_relative_information_score: 173.2153, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8901, predictive_accuracy: 0.8925, prior_entropy: 0.7716, recall: 0.8925, relative_absolute_error: 0.5858, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.6606, scimark_benchmark: 1334.2049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8931, kappa: 0.6954, kb_relative_information_score: 234.8713, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8939, predictive_accuracy: 0.8925, prior_entropy: 0.7716, recall: 0.8925, relative_absolute_error: 0.3947, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2875, root_relative_squared_error: 0.6885, scimark_benchmark: 1319.7801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.9015, kappa: 0.7148, kb_relative_information_score: 259.5864, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9009, predictive_accuracy: 0.9025, prior_entropy: 0.7716, recall: 0.9025, relative_absolute_error: 0.3322, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2567, root_relative_squared_error: 0.6146, scimark_benchmark: 935.5075, usercpu_time_millis: 120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8931, kappa: 0.6954, kb_relative_information_score: 234.8713, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8939, predictive_accuracy: 0.8925, prior_entropy: 0.7716, recall: 0.8925, relative_absolute_error: 0.3947, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2875, root_relative_squared_error: 0.6885, scimark_benchmark: 1349.9741,

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