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OpenML
OpenML
Supervised Classification on schizo

Supervised Classification on schizo

Task 3557 Supervised Classification schizo 505 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 under100k under1m
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505 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6171, f_measure: 0.5796, kappa: 0.1625, kb_relative_information_score: 47.278, mean_absolute_error: 0.4315, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.5852, predictive_accuracy: 0.5853, prior_entropy: 0.9988, recall: 0.5853, relative_absolute_error: 0.8645, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.528, root_relative_squared_error: 1.0569, scimark_benchmark: 869.6028, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.3616, kappa: 0.0005, kb_relative_information_score: 13.2056, mean_absolute_error: 0.4794, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.5108, predictive_accuracy: 0.5206, prior_entropy: 0.9988, recall: 0.5206, relative_absolute_error: 0.9604, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6924, root_relative_squared_error: 1.386, scimark_benchmark: 1318.1432, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3565, kb_relative_information_score: 13.2056, mean_absolute_error: 0.4794, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.271, predictive_accuracy: 0.5206, prior_entropy: 0.9988, recall: 0.5206, relative_absolute_error: 0.9604, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6924, root_relative_squared_error: 1.386, scimark_benchmark: 887.6719, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6063, f_measure: 0.6008, kappa: 0.2109, kb_relative_information_score: 69.3413, mean_absolute_error: 0.3971, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.6102, predictive_accuracy: 0.6029, prior_entropy: 0.9988, recall: 0.6029, relative_absolute_error: 0.7955, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6301, root_relative_squared_error: 1.2613, scimark_benchmark: 1386.5717, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5954, f_measure: 0.5893, kappa: 0.1776, kb_relative_information_score: 20.9858, mean_absolute_error: 0.4739, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.5904, predictive_accuracy: 0.5912, prior_entropy: 0.9988, recall: 0.5912, relative_absolute_error: 0.9494, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9937, scimark_benchmark: 938.343, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.543, f_measure: 0.5245, kappa: 0.0875, kb_relative_information_score: 35.2589, mean_absolute_error: 0.4471, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.556, predictive_accuracy: 0.5529, prior_entropy: 0.9988, recall: 0.5529, relative_absolute_error: 0.8956, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6686, root_relative_squared_error: 1.3384, scimark_benchmark: 939.449, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8837, f_measure: 0.8074, kappa: 0.6148, kb_relative_information_score: 174.5819, mean_absolute_error: 0.2546, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.8136, predictive_accuracy: 0.8088, prior_entropy: 0.9988, recall: 0.8088, relative_absolute_error: 0.5101, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.7275, scimark_benchmark: 1319.6463, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8816, f_measure: 0.7773, kappa: 0.5552, kb_relative_information_score: 103.1572, mean_absolute_error: 0.3683, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.7853, predictive_accuracy: 0.7794, prior_entropy: 0.9988, recall: 0.7794, relative_absolute_error: 0.7379, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8006, scimark_benchmark: 1336.2509, usercpu_time_millis: 400, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7252, f_measure: 0.6854, kappa: 0.3709, kb_relative_information_score: 103.2442, mean_absolute_error: 0.3536, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.6865, predictive_accuracy: 0.6853, prior_entropy: 0.9988, recall: 0.6853, relative_absolute_error: 0.7083, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4941, root_relative_squared_error: 0.989, scimark_benchmark: 1280.6952, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, f_measure: 0.8228, kappa: 0.6451, kb_relative_information_score: 186.7767, mean_absolute_error: 0.2343, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.8258, predictive_accuracy: 0.8235, prior_entropy: 0.9988, recall: 0.8235, relative_absolute_error: 0.4694, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.7208, scimark_benchmark: 1306.6379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, f_measure: 0.82, kappa: 0.6394, kb_relative_information_score: 207.7313, mean_absolute_error: 0.1985, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.8219, predictive_accuracy: 0.8206, prior_entropy: 0.9988, recall: 0.8206, relative_absolute_error: 0.3977, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.73, scimark_benchmark: 1376.7478, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5773, f_measure: 0.5757, kappa: 0.1559, kb_relative_information_score: 55.3074, mean_absolute_error: 0.4176, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.5824, predictive_accuracy: 0.5824, prior_entropy: 0.9988, recall: 0.5824, relative_absolute_error: 0.8367, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6463, root_relative_squared_error: 1.2936, scimark_benchmark: 1425.1294, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6437, f_measure: 0.6087, kappa: 0.2177, kb_relative_information_score: 79.9378, mean_absolute_error: 0.3811, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.6117, predictive_accuracy: 0.6118, prior_entropy: 0.9988, recall: 0.6118, relative_absolute_error: 0.7636, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5989, root_relative_squared_error: 1.1988, scimark_benchmark: 868.2731, usercpu_time_millis: 10780, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5011, f_measure: 0.4225, kappa: 0.0022, kb_relative_information_score: 11.2008, mean_absolute_error: 0.4824, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.5038, predictive_accuracy: 0.5176, prior_entropy: 0.9988, recall: 0.5176, relative_absolute_error: 0.9663, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6945, root_relative_squared_error: 1.3902, scimark_benchmark: 1339.4189, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.8143, kappa: 0.6278, kb_relative_information_score: 197.7551, mean_absolute_error: 0.2138, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.8155, predictive_accuracy: 0.8147, prior_entropy: 0.9988, recall: 0.8147, relative_absolute_error: 0.4284, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.7413, scimark_benchmark: 1339.4189, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.8647, kappa: 0.73, kb_relative_information_score: 247.7723, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.8685, predictive_accuracy: 0.8647, prior_entropy: 0.9988, recall: 0.8647, relative_absolute_error: 0.271, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3678, root_relative_squared_error: 0.7363, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7173, f_measure: 0.7185, kappa: 0.4371, kb_relative_information_score: 149.535, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.7231, predictive_accuracy: 0.7206, prior_entropy: 0.9988, recall: 0.7206, relative_absolute_error: 0.5598, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5286, root_relative_squared_error: 1.0581, scimark_benchmark: 1505.597, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4876, f_measure: 0.3565, kb_relative_information_score: -0.0416, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.271, predictive_accuracy: 0.5206, prior_entropy: 0.9988, recall: 0.5206, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0001, scimark_benchmark: 1330.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8259, kappa: 0.6513, kb_relative_information_score: 204.9542, mean_absolute_error: 0.2042, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.8279, predictive_accuracy: 0.8265, prior_entropy: 0.9988, recall: 0.8265, relative_absolute_error: 0.409, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3561, root_relative_squared_error: 0.7129, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6013, f_measure: 0.5976, kappa: 0.1947, kb_relative_information_score: 33.1205, mean_absolute_error: 0.4573, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.5994, predictive_accuracy: 0.6, prior_entropy: 0.9988, recall: 0.6, relative_absolute_error: 0.9162, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5069, root_relative_squared_error: 1.0148, scimark_benchmark: 942.6953, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5986, f_measure: 0.5976, kappa: 0.1947, kb_relative_information_score: 31.734, mean_absolute_error: 0.4596, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.5994, predictive_accuracy: 0.6, prior_entropy: 0.9988, recall: 0.6, relative_absolute_error: 0.9208, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.504, root_relative_squared_error: 1.0088, scimark_benchmark: 926.6717, usercpu_time_millis: 100, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5986, f_measure: 0.5976, kappa: 0.1947, kb_relative_information_score: 31.734, mean_absolute_error: 0.4596, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.5994, predictive_accuracy: 0.6, prior_entropy: 0.9988, recall: 0.6, relative_absolute_error: 0.9208, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.504, root_relative_squared_error: 1.0088, scimark_benchmark: 936.7115, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7282, f_measure: 0.6388, kappa: 0.2897, kb_relative_information_score: 102.3255, mean_absolute_error: 0.3504, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.6615, predictive_accuracy: 0.65, prior_entropy: 0.9988, recall: 0.65, relative_absolute_error: 0.702, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.51, root_relative_squared_error: 1.0208, scimark_benchmark: 894.7455, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7408, f_measure: 0.6581, kappa: 0.3306, kb_relative_information_score: 109.0081, mean_absolute_error: 0.3429, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.6884, predictive_accuracy: 0.6706, prior_entropy: 0.9988, recall: 0.6706, relative_absolute_error: 0.687, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4955, root_relative_squared_error: 0.9919, scimark_benchmark: 943.2817, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6831, f_measure: 0.6042, kappa: 0.2331, kb_relative_information_score: 78.6591, mean_absolute_error: 0.3869, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.6404, predictive_accuracy: 0.6235, prior_entropy: 0.9988, recall: 0.6235, relative_absolute_error: 0.775, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5149, root_relative_squared_error: 1.0306, scimark_benchmark: 911.3823, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.642, f_measure: 0.546, kappa: 0.1397, kb_relative_information_score: 58.6562, mean_absolute_error: 0.4146, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.5952, predictive_accuracy: 0.5794, prior_entropy: 0.9988, recall: 0.5794, relative_absolute_error: 0.8306, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5369, root_relative_squared_error: 1.0747, scimark_benchmark: 933.8635, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5802, f_measure: 0.5222, kappa: 0.1616, kb_relative_information_score: 48.6264, mean_absolute_error: 0.4334, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.6874, predictive_accuracy: 0.5941, prior_entropy: 0.9988, recall: 0.5941, relative_absolute_error: 0.8682, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5377, root_relative_squared_error: 1.0764, scimark_benchmark: 938.9865, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.8139, kappa: 0.6272, kb_relative_information_score: 178.7845, mean_absolute_error: 0.2467, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.8171, predictive_accuracy: 0.8147, prior_entropy: 0.9988, recall: 0.8147, relative_absolute_error: 0.4942, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3699, root_relative_squared_error: 0.7403, scimark_benchmark: 945.6434, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7718, kappa: 0.5437, kb_relative_information_score: 152.3826, mean_absolute_error: 0.288, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.7774, predictive_accuracy: 0.7735, prior_entropy: 0.9988, recall: 0.7735, relative_absolute_error: 0.5769, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.7765, scimark_benchmark: 938.2848, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8115, f_measure: 0.7388, kappa: 0.4782, kb_relative_information_score: 115.9875, mean_absolute_error: 0.3427, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.7453, predictive_accuracy: 0.7412, prior_entropy: 0.9988, recall: 0.7412, relative_absolute_error: 0.6866, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.8373, scimark_benchmark: 924.6116, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7627, f_measure: 0.7021, kappa: 0.4062, kb_relative_information_score: 87.8925, mean_absolute_error: 0.3827, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.7112, predictive_accuracy: 0.7059, prior_entropy: 0.9988, recall: 0.7059, relative_absolute_error: 0.7666, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4432, root_relative_squared_error: 0.8871, scimark_benchmark: 902.4773, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7076, f_measure: 0.6512, kappa: 0.305, kb_relative_information_score: 66.5522, mean_absolute_error: 0.4119, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.6592, predictive_accuracy: 0.6559, prior_entropy: 0.9988, recall: 0.6559, relative_absolute_error: 0.8253, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4665, root_relative_squared_error: 0.9338, scimark_benchmark: 902.4773, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4876, f_measure: 0.3565, kb_relative_information_score: -0.0416, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.271, predictive_accuracy: 0.5206, prior_entropy: 0.9988, recall: 0.5206, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0001, scimark_benchmark: 940.2922,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7292, build_cpu_time: 32.1164, build_memory: 1024885049.6, f_measure: 0.6461, kappa: 0.2909, kb_relative_information_score: 99.782, mean_absolute_error: 0.3559, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.6468, predictive_accuracy: 0.6471, prior_entropy: 0.9988, recall: 0.6471, relative_absolute_error: 0.7129, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4947, root_relative_squared_error: 0.9902, scimark_benchmark: 935.6292,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8315, build_cpu_time: 18.6086, build_memory: 402431326.4, f_measure: 0.7727, kappa: 0.5446, kb_relative_information_score: 187.5591, mean_absolute_error: 0.2231, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.7749, predictive_accuracy: 0.7735, prior_entropy: 0.9988, recall: 0.7735, relative_absolute_error: 0.4469, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4625, root_relative_squared_error: 0.9257, scimark_benchmark: 924.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8475, build_cpu_time: 9.7594, build_memory: 938515480, f_measure: 0.782, kappa: 0.5631, kb_relative_information_score: 188.5998, mean_absolute_error: 0.222, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.7826, predictive_accuracy: 0.7824, prior_entropy: 0.9988, recall: 0.7824, relative_absolute_error: 0.4447, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4545, root_relative_squared_error: 0.9098, scimark_benchmark: 902.712,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, build_cpu_time: 1.3897, build_memory: 917459164.8, f_measure: 0.9676, kappa: 0.9351, kb_relative_information_score: 319.4398, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.9684, predictive_accuracy: 0.9676, prior_entropy: 0.9988, recall: 0.9676, relative_absolute_error: 0.0613, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1448, root_relative_squared_error: 0.2898, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, build_cpu_time: 2.9626, build_memory: 452083185.6, f_measure: 0.9823, kappa: 0.9646, kb_relative_information_score: 326.9142, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.9826, predictive_accuracy: 0.9824, prior_entropy: 0.9988, recall: 0.9824, relative_absolute_error: 0.0387, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1289, root_relative_squared_error: 0.2579, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, build_cpu_time: 5.3666, build_memory: 656100348, f_measure: 0.9853, kappa: 0.9705, kb_relative_information_score: 328.5672, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.9854, predictive_accuracy: 0.9853, prior_entropy: 0.9988, recall: 0.9853, relative_absolute_error: 0.034, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1246, root_relative_squared_error: 0.2495, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, build_cpu_time: 0.5219, build_memory: 109969273.6, f_measure: 0.8794, kappa: 0.7584, kb_relative_information_score: 250.6145, mean_absolute_error: 0.1338, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.8794, predictive_accuracy: 0.8794, prior_entropy: 0.9988, recall: 0.8794, relative_absolute_error: 0.268, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3301, root_relative_squared_error: 0.6608, scimark_benchmark: 925.481,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, build_cpu_time: 0.3434, build_memory: 3291579531.2, f_measure: 0.8676, kappa: 0.7348, kb_relative_information_score: 246.332, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.8676, predictive_accuracy: 0.8676, prior_entropy: 0.9988, recall: 0.8676, relative_absolute_error: 0.2802, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3355, root_relative_squared_error: 0.6716, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, build_cpu_time: 0.2389, build_memory: 563404081.6, f_measure: 0.8676, kappa: 0.7347, kb_relative_information_score: 243.0226, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.8677, predictive_accuracy: 0.8676, prior_entropy: 0.9988, recall: 0.8676, relative_absolute_error: 0.2898, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.6742, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, build_cpu_time: 0.183, build_memory: 612323134.4, f_measure: 0.8588, kappa: 0.717, kb_relative_information_score: 233.4636, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.8588, predictive_accuracy: 0.8588, prior_entropy: 0.9988, recall: 0.8588, relative_absolute_error: 0.3208, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.6799, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, build_cpu_time: 0.1069, build_memory: 1189034462.4, f_measure: 0.9294, kappa: 0.8585, kb_relative_information_score: 289.1882, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.4992, number_of_instances: 340, precision: 0.9294, predictive_accuracy: 0.9294, prior_entropy: 0.9988, recall: 0.9294, relative_absolute_error: 0.15, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2529, root_relative_squared_error: 0.5063, 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

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs