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OpenML
Task
Supervised Classification on analcatdata_vineyard

Supervised Classification on analcatdata_vineyard

Task 3590 Supervised Classification analcatdata_vineyard 562 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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562 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.8289, kappa: 0.6532, kb_relative_information_score: 304.9188, mean_absolute_error: 0.1713, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8288, predictive_accuracy: 0.8291, prior_entropy: 0.9912, recall: 0.8291, relative_absolute_error: 0.3468, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3345, root_relative_squared_error: 0.6731, scimark_benchmark: 854.5188, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7433, f_measure: 0.7459, kappa: 0.4858, kb_relative_information_score: 225.7062, mean_absolute_error: 0.2543, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.7461, predictive_accuracy: 0.7457, prior_entropy: 0.9912, recall: 0.7457, relative_absolute_error: 0.5149, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5043, root_relative_squared_error: 1.0148, scimark_benchmark: 940.3347, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6163, f_measure: 0.595, kappa: 0.2516, kb_relative_information_score: 142.2392, mean_absolute_error: 0.3419, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.7719, predictive_accuracy: 0.6581, prior_entropy: 0.9912, recall: 0.6581, relative_absolute_error: 0.6923, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5847, root_relative_squared_error: 1.1767, scimark_benchmark: 887.6719, usercpu_time_millis: 90, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, f_measure: 0.7417, kappa: 0.4777, kb_relative_information_score: 221.6347, mean_absolute_error: 0.2585, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.7422, predictive_accuracy: 0.7415, prior_entropy: 0.9912, recall: 0.7415, relative_absolute_error: 0.5235, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5085, root_relative_squared_error: 1.0233, scimark_benchmark: 1386.5717, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8256, f_measure: 0.738, kappa: 0.4756, kb_relative_information_score: 162.4216, mean_absolute_error: 0.3311, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.7452, predictive_accuracy: 0.7372, prior_entropy: 0.9912, recall: 0.7372, relative_absolute_error: 0.6704, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8145, scimark_benchmark: 938.343, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, f_measure: 0.7309, kappa: 0.4553, kb_relative_information_score: 211.4558, mean_absolute_error: 0.2692, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.731, predictive_accuracy: 0.7308, prior_entropy: 0.9912, recall: 0.7308, relative_absolute_error: 0.5452, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5189, root_relative_squared_error: 1.0442, scimark_benchmark: 1331.6907, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.823, kappa: 0.6424, kb_relative_information_score: 227.7227, mean_absolute_error: 0.2665, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8239, predictive_accuracy: 0.8227, prior_entropy: 0.9912, recall: 0.8227, relative_absolute_error: 0.5396, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7157, scimark_benchmark: 915.9324, usercpu_time_millis: 1230, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.8592, kappa: 0.7155, kb_relative_information_score: 301.8164, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8599, predictive_accuracy: 0.859, prior_entropy: 0.9912, recall: 0.859, relative_absolute_error: 0.367, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3413, root_relative_squared_error: 0.6869, scimark_benchmark: 1250.8301, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, f_measure: 0.8547, kappa: 0.7058, kb_relative_information_score: 321.2188, mean_absolute_error: 0.1558, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8547, predictive_accuracy: 0.8547, prior_entropy: 0.9912, recall: 0.8547, relative_absolute_error: 0.3155, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.6545, scimark_benchmark: 1361.1055, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, f_measure: 0.8505, kappa: 0.6974, kb_relative_information_score: 326.1436, mean_absolute_error: 0.1488, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8506, predictive_accuracy: 0.8504, prior_entropy: 0.9912, recall: 0.8504, relative_absolute_error: 0.3012, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.7749, scimark_benchmark: 1280.6952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, f_measure: 0.8402, kappa: 0.6787, kb_relative_information_score: 267.4109, mean_absolute_error: 0.2221, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8441, predictive_accuracy: 0.8397, prior_entropy: 0.9912, recall: 0.8397, relative_absolute_error: 0.4497, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3536, root_relative_squared_error: 0.7116, scimark_benchmark: 1315.3881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.895, f_measure: 0.8614, kappa: 0.7205, kb_relative_information_score: 315.5867, mean_absolute_error: 0.1663, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8631, predictive_accuracy: 0.8611, prior_entropy: 0.9912, recall: 0.8611, relative_absolute_error: 0.3368, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3426, root_relative_squared_error: 0.6894, scimark_benchmark: 1327.6929, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.8718, kappa: 0.7404, kb_relative_information_score: 345.8173, mean_absolute_error: 0.1282, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8718, predictive_accuracy: 0.8718, prior_entropy: 0.9912, recall: 0.8718, relative_absolute_error: 0.2596, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7206, scimark_benchmark: 1339.3974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6139, f_measure: 0.5916, kappa: 0.2465, kb_relative_information_score: 140.2034, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.7707, predictive_accuracy: 0.656, prior_entropy: 0.9912, recall: 0.656, relative_absolute_error: 0.6966, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5865, root_relative_squared_error: 1.1804, scimark_benchmark: 1309.3173, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.8632, kappa: 0.7228, kb_relative_information_score: 336.6905, mean_absolute_error: 0.1383, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8631, predictive_accuracy: 0.8632, prior_entropy: 0.9912, recall: 0.8632, relative_absolute_error: 0.2801, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3542, root_relative_squared_error: 0.7129, scimark_benchmark: 922.9039, usercpu_time_millis: 8030, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 8020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.8399, kappa: 0.6763, kb_relative_information_score: 290.1953, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8403, predictive_accuracy: 0.8397, prior_entropy: 0.9912, recall: 0.8397, relative_absolute_error: 0.39, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.7274, scimark_benchmark: 1358.4523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7433, f_measure: 0.7459, kappa: 0.4858, kb_relative_information_score: 225.7062, mean_absolute_error: 0.2543, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.7461, predictive_accuracy: 0.7457, prior_entropy: 0.9912, recall: 0.7457, relative_absolute_error: 0.5149, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5043, root_relative_squared_error: 1.0148, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.827, kappa: 0.6497, kb_relative_information_score: 303.0659, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.827, predictive_accuracy: 0.8269, prior_entropy: 0.9912, recall: 0.8269, relative_absolute_error: 0.3505, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8372, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, f_measure: 0.3968, kb_relative_information_score: -0.0173, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.3086, predictive_accuracy: 0.5556, prior_entropy: 0.9912, recall: 0.5556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1505.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8378, kappa: 0.6721, kb_relative_information_score: 286.3723, mean_absolute_error: 0.1969, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8383, predictive_accuracy: 0.8376, prior_entropy: 0.9912, recall: 0.8376, relative_absolute_error: 0.3987, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.7308, scimark_benchmark: 1384.4418, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8866, f_measure: 0.8099, kappa: 0.6151, kb_relative_information_score: 282.3773, mean_absolute_error: 0.1959, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8099, predictive_accuracy: 0.8098, prior_entropy: 0.9912, recall: 0.8098, relative_absolute_error: 0.3967, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.842, scimark_benchmark: 931.2336, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.8142, kappa: 0.6241, kb_relative_information_score: 277.8041, mean_absolute_error: 0.2038, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8144, predictive_accuracy: 0.8141, prior_entropy: 0.9912, recall: 0.8141, relative_absolute_error: 0.4126, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.7912, scimark_benchmark: 932.3943, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8777, f_measure: 0.8162, kappa: 0.6279, kb_relative_information_score: 245.4224, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8162, predictive_accuracy: 0.8162, prior_entropy: 0.9912, recall: 0.8162, relative_absolute_error: 0.4994, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7538, scimark_benchmark: 941.7954, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8777, f_measure: 0.8162, kappa: 0.6279, kb_relative_information_score: 245.4224, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8162, predictive_accuracy: 0.8162, prior_entropy: 0.9912, recall: 0.8162, relative_absolute_error: 0.4994, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7538, scimark_benchmark: 923.7642, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8777, f_measure: 0.8162, kappa: 0.6279, kb_relative_information_score: 245.4224, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8162, predictive_accuracy: 0.8162, prior_entropy: 0.9912, recall: 0.8162, relative_absolute_error: 0.4994, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7538, scimark_benchmark: 894.7455, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.7988, kappa: 0.5921, kb_relative_information_score: 232.8181, mean_absolute_error: 0.2546, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.7988, predictive_accuracy: 0.7991, prior_entropy: 0.9912, recall: 0.7991, relative_absolute_error: 0.5154, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.7913, scimark_benchmark: 894.7455, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.7717, kappa: 0.5468, kb_relative_information_score: 209.4099, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.7864, predictive_accuracy: 0.7714, prior_entropy: 0.9912, recall: 0.7714, relative_absolute_error: 0.566, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.7754, scimark_benchmark: 936.6206, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, f_measure: 0.6181, kappa: 0.27, kb_relative_information_score: 163.6156, mean_absolute_error: 0.3184, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.7185, predictive_accuracy: 0.6624, prior_entropy: 0.9912, recall: 0.6624, relative_absolute_error: 0.6447, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.866, scimark_benchmark: 942.1229, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.7047, kappa: 0.4562, kb_relative_information_score: 156.0412, mean_absolute_error: 0.3347, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8045, predictive_accuracy: 0.7158, prior_entropy: 0.9912, recall: 0.7158, relative_absolute_error: 0.6777, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.8227, scimark_benchmark: 922.9039, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7382, f_measure: 0.595, kappa: 0.2516, kb_relative_information_score: 124.7895, mean_absolute_error: 0.3654, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.7719, predictive_accuracy: 0.6581, prior_entropy: 0.9912, recall: 0.6581, relative_absolute_error: 0.7398, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4693, root_relative_squared_error: 0.9445, scimark_benchmark: 938.9865, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8796, f_measure: 0.7989, kappa: 0.5925, kb_relative_information_score: 235.1652, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.7988, predictive_accuracy: 0.7991, prior_entropy: 0.9912, recall: 0.7991, relative_absolute_error: 0.5132, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.7609, scimark_benchmark: 936.6206, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.7969, kappa: 0.5883, kb_relative_information_score: 237.3697, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.7968, predictive_accuracy: 0.797, prior_entropy: 0.9912, recall: 0.797, relative_absolute_error: 0.5103, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.7452, scimark_benchmark: 924.6116, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.8163, kappa: 0.6282, kb_relative_information_score: 225.739, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8164, predictive_accuracy: 0.8162, prior_entropy: 0.9912, recall: 0.8162, relative_absolute_error: 0.5424, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.73, scimark_benchmark: 947.9494, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8474, build_cpu_time: 0.0314, build_memory: 758321289.5556, f_measure: 0.7735, kappa: 0.5413, kb_relative_information_score: 212.4577, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.7735, predictive_accuracy: 0.7735, prior_entropy: 0.9912, recall: 0.7735, relative_absolute_error: 0.5611, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.8187, scimark_benchmark: 927.3354,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8499, build_cpu_time: 0.0329, build_memory: 379693538.6667, f_measure: 0.7755, kappa: 0.545, kb_relative_information_score: 213.0819, mean_absolute_error: 0.2769, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.7754, predictive_accuracy: 0.7756, prior_entropy: 0.9912, recall: 0.7756, relative_absolute_error: 0.5607, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8124, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8502, build_cpu_time: 0.0124, build_memory: 1752074264.4445, f_measure: 0.756, kappa: 0.5053, kb_relative_information_score: 207.392, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.7559, predictive_accuracy: 0.7564, prior_entropy: 0.9912, recall: 0.7564, relative_absolute_error: 0.5731, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4021, root_relative_squared_error: 0.8092, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8397, build_cpu_time: 0.0057, build_memory: 501653857.1624, f_measure: 0.7626, kappa: 0.519, kb_relative_information_score: 194.3685, mean_absolute_error: 0.2996, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.7625, predictive_accuracy: 0.7628, prior_entropy: 0.9912, recall: 0.7628, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.405, root_relative_squared_error: 0.815, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, build_cpu_time: 0.0094, build_memory: 730975695.5385, f_measure: 0.8162, kappa: 0.6279, kb_relative_information_score: 245.4694, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8162, predictive_accuracy: 0.8162, prior_entropy: 0.9912, recall: 0.8162, relative_absolute_error: 0.4993, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7536, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8777, build_cpu_time: 0.0092, build_memory: 677272315.094, f_measure: 0.8162, kappa: 0.6279, kb_relative_information_score: 245.4224, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8162, predictive_accuracy: 0.8162, prior_entropy: 0.9912, recall: 0.8162, relative_absolute_error: 0.4994, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7538, scimark_benchmark: 908.8705,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8777, build_cpu_time: 0.0109, build_memory: 718406241.3504, f_measure: 0.8162, kappa: 0.6279, kb_relative_information_score: 245.4224, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8162, predictive_accuracy: 0.8162, prior_entropy: 0.9912, recall: 0.8162, relative_absolute_error: 0.4994, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7538, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8777, build_cpu_time: 0.012, build_memory: 3258264307.094, f_measure: 0.8162, kappa: 0.6279, kb_relative_information_score: 245.4224, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8162, predictive_accuracy: 0.8162, prior_entropy: 0.9912, recall: 0.8162, relative_absolute_error: 0.4994, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7538, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, build_cpu_time: 2.8075, build_memory: 34368442.8205, f_measure: 0.8613, kappa: 0.7194, kb_relative_information_score: 318.9994, mean_absolute_error: 0.1621, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8616, predictive_accuracy: 0.8611, prior_entropy: 0.9912, recall: 0.8611, relative_absolute_error: 0.3283, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6312, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, build_cpu_time: 4.8373, build_memory: 1003373023.5214, f_measure: 0.872, kappa: 0.7411, kb_relative_information_score: 341.1906, mean_absolute_error: 0.1354, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8724, predictive_accuracy: 0.8718, prior_entropy: 0.9912, recall: 0.8718, relative_absolute_error: 0.2741, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3097, root_relative_squared_error: 0.6233, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, build_cpu_time: 8.6929, build_memory: 96351958.5128, f_measure: 0.8719, kappa: 0.7409, kb_relative_information_score: 345.4748, mean_absolute_error: 0.1291, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8722, predictive_accuracy: 0.8718, prior_entropy: 0.9912, recall: 0.8718, relative_absolute_error: 0.2614, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3275, root_relative_squared_error: 0.6591, scimark_benchmark: 946.4503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, build_cpu_time: 38.0726, build_memory: 42573087.3333, f_measure: 0.8741, kappa: 0.7453, kb_relative_information_score: 346.3448, mean_absolute_error: 0.1278, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8744, predictive_accuracy: 0.8739, prior_entropy: 0.9912, recall: 0.8739, relative_absolute_error: 0.2588, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7076, scimark_benchmark: 939.4403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8526, build_cpu_time: 29.6979, build_memory: 1029473288.5983, f_measure: 0.8484, kappa: 0.6932, kb_relative_information_score: 323.5152, mean_absolute_error: 0.1516, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8486, predictive_accuracy: 0.8483, prior_entropy: 0.9912, recall: 0.8483, relative_absolute_error: 0.3069, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.7832, scimark_benchmark: 931.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8548, build_cpu_time: 14.8432, build_memory: 1421827813.1111, f_measure: 0.8462, kappa: 0.6888, kb_relative_information_score: 320.6922, mean_absolute_error: 0.1547, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8463, predictive_accuracy: 0.8462, prior_entropy: 0.9912, recall: 0.8462, relative_absolute_error: 0.3133, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.7897, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, build_cpu_time: 7.5528, build_memory: 1334611718.547, f_measure: 0.8484, kappa: 0.6932, kb_relative_information_score: 324.1259, mean_absolute_error: 0.1509, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8486, predictive_accuracy: 0.8483, prior_entropy: 0.9912, recall: 0.8483, relative_absolute_error: 0.3056, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.778, scimark_benchmark: 945.0554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8773, build_cpu_time: 3.5391, build_memory: 829528617.1795, f_measure: 0.8462, kappa: 0.6888, kb_relative_information_score: 320.3538, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8463, predictive_accuracy: 0.8462, prior_entropy: 0.9912, recall: 0.8462, relative_absolute_error: 0.3135, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3905, root_relative_squared_error: 0.7858, scimark_benchmark: 942.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, build_cpu_time: 0.2845, build_memory: 471239140.1026, f_measure: 0.8548, kappa: 0.7063, kb_relative_information_score: 313.574, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8551, predictive_accuracy: 0.8547, prior_entropy: 0.9912, recall: 0.8547, relative_absolute_error: 0.3384, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.324, root_relative_squared_error: 0.652, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, build_cpu_time: 0.5344, build_memory: 1625037654.0171, f_measure: 0.8634, kappa: 0.7239, kb_relative_information_score: 322.9375, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8639, predictive_accuracy: 0.8632, prior_entropy: 0.9912, recall: 0.8632, relative_absolute_error: 0.3151, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.6552, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, build_cpu_time: 1.0923, build_memory: 504640699.9487, f_measure: 0.8762, kappa: 0.7495, kb_relative_information_score: 337.4046, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8764, predictive_accuracy: 0.8761, prior_entropy: 0.9912, recall: 0.8761, relative_absolute_error: 0.2828, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3292, root_relative_squared_error: 0.6626, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9404, build_cpu_time: 1.9785, build_memory: 1397489932.3419, f_measure: 0.872, kappa: 0.7411, kb_relative_information_score: 336.6857, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8724, predictive_accuracy: 0.8718, prior_entropy: 0.9912, recall: 0.8718, relative_absolute_error: 0.2818, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3437, root_relative_squared_error: 0.6917, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, build_cpu_time: 3.6332, build_memory: 950993190.3932, f_measure: 0.8588, kappa: 0.7139, kb_relative_information_score: 332.9708, mean_absolute_error: 0.1418, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8588, predictive_accuracy: 0.859, prior_entropy: 0.9912, recall: 0.859, relative_absolute_error: 0.2871, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3583, root_relative_squared_error: 0.721, scimark_benchmark: 937.9603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9278, build_cpu_time: 0.0743, build_memory: 143191121.2137, f_measure: 0.8412, kappa: 0.6776, kb_relative_information_score: 316.7846, mean_absolute_error: 0.1597, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8421, predictive_accuracy: 0.8419, prior_entropy: 0.9912, recall: 0.8419, relative_absolute_error: 0.3234, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3395, root_relative_squared_error: 0.6832, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9278, build_cpu_time: 0.0873, build_memory: 1027219504.0171, f_measure: 0.8412, kappa: 0.6776, kb_relative_information_score: 316.7846, mean_absolute_error: 0.1597, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8421, predictive_accuracy: 0.8419, prior_entropy: 0.9912, recall: 0.8419, relative_absolute_error: 0.3234, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3395, root_relative_squared_error: 0.6832, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9278, build_cpu_time: 0.0822, build_memory: 1246298016.8205, f_measure: 0.8412, kappa: 0.6776, kb_relative_information_score: 316.7846, mean_absolute_error: 0.1597, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8421, predictive_accuracy: 0.8419, prior_entropy: 0.9912, recall: 0.8419, relative_absolute_error: 0.3234, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3395, root_relative_squared_error: 0.6832, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9278, build_cpu_time: 0.0915, build_memory: 923084422.9744, f_measure: 0.8412, kappa: 0.6776, kb_relative_information_score: 316.7846, mean_absolute_error: 0.1597, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8421, predictive_accuracy: 0.8419, prior_entropy: 0.9912, recall: 0.8419, relative_absolute_error: 0.3234, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3395, root_relative_squared_error: 0.6832, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, build_cpu_time: 0.0742, build_memory: 1179072397.3675, f_measure: 0.8391, kappa: 0.6734, kb_relative_information_score: 315.9644, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8398, predictive_accuracy: 0.8397, prior_entropy: 0.9912, recall: 0.8397, relative_absolute_error: 0.3248, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.684, scimark_benchmark: 923.9118,

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