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OpenML
Task
Supervised Classification on segment

Supervised Classification on segment

Task 3821 Supervised Classification segment 558 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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558 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9948, kappa: 0.9789, kb_relative_information_score: 2223.6725, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9949, predictive_accuracy: 0.9948, prior_entropy: 0.5925, recall: 0.9948, relative_absolute_error: 0.0276, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0625, root_relative_squared_error: 0.1787, scimark_benchmark: 939.5088, usercpu_time_millis: 490, usercpu_time_millis_testing: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9974, kappa: 0.9893, kb_relative_information_score: 2276.2344, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 0.5925, recall: 0.9974, relative_absolute_error: 0.0106, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.051, root_relative_squared_error: 0.1456, scimark_benchmark: 1336.3256, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7912, kb_relative_information_score: 620.7996, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.7347, predictive_accuracy: 0.8571, prior_entropy: 0.5925, recall: 0.8571, relative_absolute_error: 0.5828, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.378, root_relative_squared_error: 1.0801, scimark_benchmark: 869.6028, usercpu_time_millis: 2670, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 2350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9961, kappa: 0.984, kb_relative_information_score: 2260.9063, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9961, predictive_accuracy: 0.9961, prior_entropy: 0.5925, recall: 0.9961, relative_absolute_error: 0.0159, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0624, root_relative_squared_error: 0.1784, scimark_benchmark: 1287.514, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9974, kappa: 0.9893, kb_relative_information_score: 2245.6617, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 0.5925, recall: 0.9974, relative_absolute_error: 0.0307, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0501, root_relative_squared_error: 0.1433, scimark_benchmark: 938.343, usercpu_time_millis: 510, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9978, kappa: 0.9911, kb_relative_information_score: 2281.3438, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.5925, recall: 0.9978, relative_absolute_error: 0.0088, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0465, root_relative_squared_error: 0.133, scimark_benchmark: 942.9518, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9974, kappa: 0.9893, kb_relative_information_score: 2181.9958, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 0.5925, recall: 0.9974, relative_absolute_error: 0.0716, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0587, root_relative_squared_error: 0.1678, scimark_benchmark: 854.5188, usercpu_time_millis: 81450, usercpu_time_millis_testing: 1160, usercpu_time_millis_training: 80290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6727, f_measure: 0.8862, kappa: 0.475, kb_relative_information_score: 1203.2674, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9157, predictive_accuracy: 0.9065, prior_entropy: 0.5925, recall: 0.9065, relative_absolute_error: 0.3815, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3058, root_relative_squared_error: 0.8739, scimark_benchmark: 1331.6907, usercpu_time_millis: 3440, usercpu_time_millis_testing: 1670, usercpu_time_millis_training: 1770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9931, kappa: 0.9719, kb_relative_information_score: 2217.6736, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9932, predictive_accuracy: 0.9931, prior_entropy: 0.5925, recall: 0.9931, relative_absolute_error: 0.0302, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0774, root_relative_squared_error: 0.2212, scimark_benchmark: 918.6491, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9957, kappa: 0.9823, kb_relative_information_score: 2257.118, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9957, predictive_accuracy: 0.9957, prior_entropy: 0.5925, recall: 0.9957, relative_absolute_error: 0.0176, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.056, root_relative_squared_error: 0.16, scimark_benchmark: 934.0566, usercpu_time_millis: 210, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9983, kappa: 0.9929, kb_relative_information_score: 2224.5161, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9983, predictive_accuracy: 0.9983, prior_entropy: 0.5925, recall: 0.9983, relative_absolute_error: 0.036, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0507, root_relative_squared_error: 0.145, scimark_benchmark: 1361.1055, usercpu_time_millis: 490, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.994, kappa: 0.9754, kb_relative_information_score: 2235.3595, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.994, predictive_accuracy: 0.9939, prior_entropy: 0.5925, recall: 0.9939, relative_absolute_error: 0.0247, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0779, root_relative_squared_error: 0.2225, scimark_benchmark: 1333.5799, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9917, kappa: 0.9661, kb_relative_information_score: 2172.5125, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9917, predictive_accuracy: 0.9918, prior_entropy: 0.5925, recall: 0.9918, relative_absolute_error: 0.0604, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0905, root_relative_squared_error: 0.2586, scimark_benchmark: 1369.9744, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9922, kappa: 0.9679, kb_relative_information_score: 2194.1363, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9922, predictive_accuracy: 0.9922, prior_entropy: 0.5925, recall: 0.9922, relative_absolute_error: 0.0468, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0878, root_relative_squared_error: 0.2509, scimark_benchmark: 1355.7054, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.9908, kappa: 0.9621, kb_relative_information_score: 2199.5939, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9909, predictive_accuracy: 0.9909, prior_entropy: 0.5925, recall: 0.9909, relative_absolute_error: 0.0371, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0953, root_relative_squared_error: 0.2725, scimark_benchmark: 825.5282, usercpu_time_millis: 160, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.596, f_measure: 0.3177, kappa: 0.0635, kb_relative_information_score: -5868.0962, mean_absolute_error: 0.6926, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.8816, predictive_accuracy: 0.3074, prior_entropy: 0.5925, recall: 0.3074, relative_absolute_error: 2.8257, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.8323, root_relative_squared_error: 2.3784, scimark_benchmark: 1442.7264, usercpu_time_millis: 4880, usercpu_time_millis_testing: 820, usercpu_time_millis_training: 4060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9926, kappa: 0.9699, kb_relative_information_score: 2216.4335, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9926, predictive_accuracy: 0.9926, prior_entropy: 0.5925, recall: 0.9926, relative_absolute_error: 0.0326, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0853, root_relative_squared_error: 0.2437, scimark_benchmark: 1465.2979, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.9726, kappa: 0.8897, kb_relative_information_score: 1979.8912, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9732, predictive_accuracy: 0.9723, prior_entropy: 0.5925, recall: 0.9723, relative_absolute_error: 0.113, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1665, root_relative_squared_error: 0.4757, scimark_benchmark: 1465.2979, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9935, kappa: 0.9735, kb_relative_information_score: 2230.2501, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9935, predictive_accuracy: 0.9935, prior_entropy: 0.5925, recall: 0.9935, relative_absolute_error: 0.0265, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0806, root_relative_squared_error: 0.2303, scimark_benchmark: 1353.5686, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7912, kb_relative_information_score: -0.9515, mean_absolute_error: 0.2451, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.7347, predictive_accuracy: 0.8571, prior_entropy: 0.5925, recall: 0.8571, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3499, root_relative_squared_error: 1, scimark_benchmark: 1445.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.9909, kappa: 0.9626, kb_relative_information_score: 2184.319, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9909, predictive_accuracy: 0.9909, prior_entropy: 0.5925, recall: 0.9909, relative_absolute_error: 0.0484, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0946, root_relative_squared_error: 0.2704, scimark_benchmark: 1384.4418, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.8637, kappa: 0.5602, kb_relative_information_score: 457.0651, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9239, predictive_accuracy: 0.8442, prior_entropy: 0.5925, recall: 0.8442, relative_absolute_error: 0.6325, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3896, root_relative_squared_error: 1.1133, scimark_benchmark: 931.2336, usercpu_time_millis: 640, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, f_measure: 0.863, kappa: 0.5585, kb_relative_information_score: 476.9244, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9237, predictive_accuracy: 0.8433, prior_entropy: 0.5925, recall: 0.8433, relative_absolute_error: 0.6304, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3691, root_relative_squared_error: 1.0547, scimark_benchmark: 945.6434, usercpu_time_millis: 790, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.8599, kappa: 0.5519, kb_relative_information_score: 361.7684, mean_absolute_error: 0.1748, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9233, predictive_accuracy: 0.8394, prior_entropy: 0.5925, recall: 0.8394, relative_absolute_error: 0.7132, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3355, root_relative_squared_error: 0.9588, scimark_benchmark: 941.7954, usercpu_time_millis: 540, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.8599, kappa: 0.5519, kb_relative_information_score: 361.7684, mean_absolute_error: 0.1748, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9233, predictive_accuracy: 0.8394, prior_entropy: 0.5925, recall: 0.8394, relative_absolute_error: 0.7132, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3355, root_relative_squared_error: 0.9588, scimark_benchmark: 942.3168, usercpu_time_millis: 520, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.8599, kappa: 0.5519, kb_relative_information_score: 361.7684, mean_absolute_error: 0.1748, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9233, predictive_accuracy: 0.8394, prior_entropy: 0.5925, recall: 0.8394, relative_absolute_error: 0.7132, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3355, root_relative_squared_error: 0.9588, scimark_benchmark: 894.7455, usercpu_time_millis: 530, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.997, kappa: 0.9876, kb_relative_information_score: 2271.6545, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.997, predictive_accuracy: 0.997, prior_entropy: 0.5925, recall: 0.997, relative_absolute_error: 0.012, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0515, root_relative_squared_error: 0.1471, scimark_benchmark: 940.2922, usercpu_time_millis: 2090, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9939, kappa: 0.9753, kb_relative_information_score: 2232.1174, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9939, predictive_accuracy: 0.9939, prior_entropy: 0.5925, recall: 0.9939, relative_absolute_error: 0.0252, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.076, root_relative_squared_error: 0.2173, scimark_benchmark: 938.2848, usercpu_time_millis: 980, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9939, kappa: 0.9752, kb_relative_information_score: 2230.9967, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9939, predictive_accuracy: 0.9939, prior_entropy: 0.5925, recall: 0.9939, relative_absolute_error: 0.0276, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0738, root_relative_squared_error: 0.2108, scimark_benchmark: 938.2848, usercpu_time_millis: 550, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9931, kappa: 0.9716, kb_relative_information_score: 2210.3634, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.5925, recall: 0.9931, relative_absolute_error: 0.0359, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0804, root_relative_squared_error: 0.2297, scimark_benchmark: 922.9039, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9579, kappa: 0.8226, kb_relative_information_score: 1880.305, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9584, predictive_accuracy: 0.9593, prior_entropy: 0.5925, recall: 0.9593, relative_absolute_error: 0.1658, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.162, root_relative_squared_error: 0.4629, scimark_benchmark: 938.9865, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 0.5214, build_memory: 758145168.8, f_measure: 0.9978, kappa: 0.9911, kb_relative_information_score: 2225.476, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.5925, recall: 0.9978, relative_absolute_error: 0.0363, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0511, root_relative_squared_error: 0.146, scimark_benchmark: 939.084,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, build_cpu_time: 1.3968, build_memory: 834819098.4, f_measure: 0.987, kappa: 0.947, kb_relative_information_score: 2152.6059, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.987, predictive_accuracy: 0.987, prior_entropy: 0.5925, recall: 0.987, relative_absolute_error: 0.0536, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1141, root_relative_squared_error: 0.3262, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, build_cpu_time: 0.6832, build_memory: 932546000.8, f_measure: 0.9866, kappa: 0.9453, kb_relative_information_score: 2148.2376, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9866, predictive_accuracy: 0.9866, prior_entropy: 0.5925, recall: 0.9866, relative_absolute_error: 0.0549, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1153, root_relative_squared_error: 0.3295, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, build_cpu_time: 0.3323, build_memory: 857860135.2, f_measure: 0.9857, kappa: 0.9416, kb_relative_information_score: 2138.9607, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9857, predictive_accuracy: 0.9857, prior_entropy: 0.5925, recall: 0.9857, relative_absolute_error: 0.0582, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1188, root_relative_squared_error: 0.3396, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, build_cpu_time: 0.1676, build_memory: 1257789963.2, f_measure: 0.9844, kappa: 0.9362, kb_relative_information_score: 2127.0265, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9844, predictive_accuracy: 0.9844, prior_entropy: 0.5925, recall: 0.9844, relative_absolute_error: 0.0629, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1214, root_relative_squared_error: 0.3469, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, build_cpu_time: 0.0877, build_memory: 520089048, f_measure: 0.9796, kappa: 0.9168, kb_relative_information_score: 2078.1846, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9796, predictive_accuracy: 0.9797, prior_entropy: 0.5925, recall: 0.9797, relative_absolute_error: 0.079, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1353, root_relative_squared_error: 0.3866, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, build_cpu_time: 0.3699, build_memory: 876821285.6, f_measure: 0.8599, kappa: 0.5519, kb_relative_information_score: 361.7684, mean_absolute_error: 0.1748, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9233, predictive_accuracy: 0.8394, prior_entropy: 0.5925, recall: 0.8394, relative_absolute_error: 0.7132, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3355, root_relative_squared_error: 0.9588, scimark_benchmark: 908.8705,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, build_cpu_time: 0.3176, build_memory: 728499944, f_measure: 0.8599, kappa: 0.5519, kb_relative_information_score: 361.7684, mean_absolute_error: 0.1748, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9233, predictive_accuracy: 0.8394, prior_entropy: 0.5925, recall: 0.8394, relative_absolute_error: 0.7132, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3355, root_relative_squared_error: 0.9588, scimark_benchmark: 908.8705,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, build_cpu_time: 459.8225, build_memory: 30179910.4, f_measure: 0.9935, kappa: 0.9733, kb_relative_information_score: 2225.3799, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9935, predictive_accuracy: 0.9935, prior_entropy: 0.5925, recall: 0.9935, relative_absolute_error: 0.0301, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0714, root_relative_squared_error: 0.204, scimark_benchmark: 899.4388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, build_cpu_time: 839.4546, build_memory: 928703408, f_measure: 0.997, kappa: 0.9876, kb_relative_information_score: 2269.1611, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.997, predictive_accuracy: 0.997, prior_entropy: 0.5925, recall: 0.997, relative_absolute_error: 0.014, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0507, root_relative_squared_error: 0.145, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, build_cpu_time: 1864.8666, build_memory: 40674535.2, f_measure: 0.9974, kappa: 0.9894, kb_relative_information_score: 2279.8948, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 0.5925, recall: 0.9974, relative_absolute_error: 0.0092, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0445, root_relative_squared_error: 0.1273, scimark_benchmark: 899.4388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, build_cpu_time: 4636.9348, build_memory: 88832304.8, f_measure: 0.9978, kappa: 0.9912, kb_relative_information_score: 2281.2492, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.5925, recall: 0.9978, relative_absolute_error: 0.0089, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0446, root_relative_squared_error: 0.1275, scimark_benchmark: 864.1117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, build_cpu_time: 381.5558, build_memory: 60838134.4, f_measure: 0.9987, kappa: 0.9947, kb_relative_information_score: 2291.5625, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9987, predictive_accuracy: 0.9987, prior_entropy: 0.5925, recall: 0.9987, relative_absolute_error: 0.0053, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.036, root_relative_squared_error: 0.103, scimark_benchmark: 925.7673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, build_cpu_time: 192.9385, build_memory: 156650236.8, f_measure: 0.9983, kappa: 0.9929, kb_relative_information_score: 2286.9636, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9983, predictive_accuracy: 0.9983, prior_entropy: 0.5925, recall: 0.9983, relative_absolute_error: 0.0067, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0398, root_relative_squared_error: 0.1137, scimark_benchmark: 931.6517,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, build_cpu_time: 48.9765, build_memory: 1133495017.6, f_measure: 0.9978, kappa: 0.9912, kb_relative_information_score: 2279.7643, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.5925, recall: 0.9978, relative_absolute_error: 0.0092, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0463, root_relative_squared_error: 0.1323, scimark_benchmark: 907.4175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, build_cpu_time: 24.9147, build_memory: 376120188.8, f_measure: 0.9974, kappa: 0.9894, kb_relative_information_score: 2276.6609, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 0.5925, recall: 0.9974, relative_absolute_error: 0.0103, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0497, root_relative_squared_error: 0.142, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, build_cpu_time: 7.9897, build_memory: 851017512, f_measure: 0.9987, kappa: 0.9947, kb_relative_information_score: 2292.5625, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9987, predictive_accuracy: 0.9987, prior_entropy: 0.5925, recall: 0.9987, relative_absolute_error: 0.0051, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0331, root_relative_squared_error: 0.0947, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, build_cpu_time: 16.3704, build_memory: 369097504, f_measure: 0.9987, kappa: 0.9947, kb_relative_information_score: 2293.085, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9987, predictive_accuracy: 0.9987, prior_entropy: 0.5925, recall: 0.9987, relative_absolute_error: 0.0045, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0315, root_relative_squared_error: 0.0899, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, build_cpu_time: 60.8557, build_memory: 641222701.6, f_measure: 0.9991, kappa: 0.9965, kb_relative_information_score: 2296.6719, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 0.5925, recall: 0.9991, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0294, root_relative_squared_error: 0.0841, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, build_cpu_time: 9.6722, build_memory: 930167380, f_measure: 0.9978, kappa: 0.9911, kb_relative_information_score: 2281.3438, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.5925, recall: 0.9978, relative_absolute_error: 0.0088, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0465, root_relative_squared_error: 0.133, scimark_benchmark: 945.0554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, build_cpu_time: 3.1797, build_memory: 99964277.6, f_measure: 0.9978, kappa: 0.9911, kb_relative_information_score: 2281.3438, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.5925, recall: 0.9978, relative_absolute_error: 0.0088, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0465, root_relative_squared_error: 0.133, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, build_cpu_time: 1.6137, build_memory: 827046351.2, f_measure: 0.9978, kappa: 0.9911, kb_relative_information_score: 2281.3435, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.5925, recall: 0.9978, relative_absolute_error: 0.0088, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0465, root_relative_squared_error: 0.133, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, build_cpu_time: 0.7568, build_memory: 798693568.8, f_measure: 0.997, kappa: 0.9876, kb_relative_information_score: 2271.0938, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.997, predictive_accuracy: 0.997, prior_entropy: 0.5925, recall: 0.997, relative_absolute_error: 0.0124, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.055, root_relative_squared_error: 0.1573, scimark_benchmark: 930.5854,

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