Task
Supervised Classification on haberman

Supervised Classification on haberman

Task 272 Supervised Classification haberman 1377 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6834, f_measure: 0.6334, kappa: 0.033, kb_relative_information_score: 8.0221, mean_absolute_error: 0.3659, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6713, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9324, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4224, root_relative_squared_error: 0.9515, scimark_benchmark: 1308.233, usercpu_time_millis: 289.032, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 289.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.691, f_measure: 0.6676, kappa: 0.1126, kb_relative_information_score: 10.2529, mean_absolute_error: 0.3573, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.7076, predictive_accuracy: 0.74, prior_entropy: 0.836, recall: 0.74, relative_absolute_error: 0.9105, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4177, root_relative_squared_error: 0.9409, scimark_benchmark: 1311.4851, usercpu_time_millis: 263.278, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 263.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6461, f_measure: 0.6161, kb_relative_information_score: -9.7162, mean_absolute_error: 0.4084, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 1.0407, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4432, root_relative_squared_error: 0.9983, scimark_benchmark: 1285.3793, usercpu_time_millis: 204.119, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 204.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7177, f_measure: 0.6893, kappa: 0.1651, kb_relative_information_score: 7.9574, mean_absolute_error: 0.3536, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.7035, predictive_accuracy: 0.74, prior_entropy: 0.836, recall: 0.74, relative_absolute_error: 0.9009, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.9397, scimark_benchmark: 1291.7781, usercpu_time_millis: 204.269, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 204.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6753, f_measure: 0.6334, kappa: 0.033, kb_relative_information_score: 7.9586, mean_absolute_error: 0.3664, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6713, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9335, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.9533, scimark_benchmark: 1305.1655, usercpu_time_millis: 178.029, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 177.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7174, f_measure: 0.6161, kb_relative_information_score: -47.657, mean_absolute_error: 0.4932, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 1.2567, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4934, root_relative_squared_error: 1.1113, scimark_benchmark: 1312.2579, usercpu_time_millis: 116.74, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 116.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6317, f_measure: 0.6749, kappa: 0.1266, kb_relative_information_score: 1.589, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6723, predictive_accuracy: 0.72, prior_entropy: 0.836, recall: 0.72, relative_absolute_error: 0.9394, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4391, root_relative_squared_error: 0.989, scimark_benchmark: 1274.3755, usercpu_time_millis: 19.128, usercpu_time_millis_testing: 0.055, usercpu_time_millis_training: 19.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6161, kb_relative_information_score: 0.4421, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.444, root_relative_squared_error: 1.0001, scimark_benchmark: 1354.9533, usercpu_time_millis: 0.015, usercpu_time_millis_testing: 0.003, usercpu_time_millis_training: 0.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6161, kb_relative_information_score: 0.4421, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.444, root_relative_squared_error: 1.0001, scimark_benchmark: 1363.9289, usercpu_time_millis: 0.015, usercpu_time_millis_testing: 0.003, usercpu_time_millis_training: 0.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6161, kb_relative_information_score: 0.4421, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.444, root_relative_squared_error: 1.0001, scimark_benchmark: 1368.7576, usercpu_time_millis: 0.015, usercpu_time_millis_testing: 0.003, usercpu_time_millis_training: 0.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6161, kb_relative_information_score: 0.4421, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.444, root_relative_squared_error: 1.0001, scimark_benchmark: 1317.5415, usercpu_time_millis: 0.015, usercpu_time_millis_testing: 0.003, usercpu_time_millis_training: 0.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6161, kb_relative_information_score: 0.4421, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.444, root_relative_squared_error: 1.0001, scimark_benchmark: 1317.5155, usercpu_time_millis: 0.015, usercpu_time_millis_testing: 0.003, usercpu_time_millis_training: 0.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6161, kb_relative_information_score: 0.4421, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.444, root_relative_squared_error: 1.0001, scimark_benchmark: 1307.718, usercpu_time_millis: 0.015, usercpu_time_millis_testing: 0.003, usercpu_time_millis_training: 0.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6161, kb_relative_information_score: 0.4421, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.444, root_relative_squared_error: 1.0001, scimark_benchmark: 1287.971, usercpu_time_millis: 0.015, usercpu_time_millis_testing: 0.003, usercpu_time_millis_training: 0.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6161, kb_relative_information_score: 0.4421, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.444, root_relative_squared_error: 1.0001, scimark_benchmark: 1282.9036, usercpu_time_millis: 0.015, usercpu_time_millis_testing: 0.003, usercpu_time_millis_training: 0.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6161, kb_relative_information_score: 0.4421, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.444, root_relative_squared_error: 1.0001, scimark_benchmark: 1280.9225, usercpu_time_millis: 0.016, usercpu_time_millis_testing: 0.003, usercpu_time_millis_training: 0.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6161, kb_relative_information_score: 0.4421, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.444, root_relative_squared_error: 1.0001, scimark_benchmark: 1277.9549, usercpu_time_millis: 0.015, usercpu_time_millis_testing: 0.003, usercpu_time_millis_training: 0.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6449, f_measure: 0.6585, kappa: 0.0823, kb_relative_information_score: 4.2961, mean_absolute_error: 0.3604, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6514, predictive_accuracy: 0.71, prior_entropy: 0.836, recall: 0.71, relative_absolute_error: 0.9182, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.9782, scimark_benchmark: 387.334, usercpu_time_millis: 0.041, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6161, kb_relative_information_score: 0.4421, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.444, root_relative_squared_error: 1.0001, scimark_benchmark: 388.1301, usercpu_time_millis: 0.054, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6545, f_measure: 0.6792, kappa: 0.1396, kb_relative_information_score: 5.2054, mean_absolute_error: 0.3661, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.7037, predictive_accuracy: 0.74, prior_entropy: 0.836, recall: 0.74, relative_absolute_error: 0.9329, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4259, root_relative_squared_error: 0.9592, scimark_benchmark: 394.9607, usercpu_time_millis: 0.039, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6161, kb_relative_information_score: 0.4421, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.444, root_relative_squared_error: 1.0001, scimark_benchmark: 384.393, usercpu_time_millis: 0.048, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6433, f_measure: 0.6723, kappa: 0.1199, kb_relative_information_score: 4.4429, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6825, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9241, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.9704, scimark_benchmark: 387.2988, usercpu_time_millis: 0.04, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.655, f_measure: 0.6544, kappa: 0.0839, kb_relative_information_score: 4.8812, mean_absolute_error: 0.3692, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.7219, predictive_accuracy: 0.74, prior_entropy: 0.836, recall: 0.74, relative_absolute_error: 0.9407, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4251, root_relative_squared_error: 0.9576, scimark_benchmark: 399.68, usercpu_time_millis: 0.059, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6428, f_measure: 0.6585, kappa: 0.0823, kb_relative_information_score: 4.4207, mean_absolute_error: 0.3602, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6514, predictive_accuracy: 0.71, prior_entropy: 0.836, recall: 0.71, relative_absolute_error: 0.9179, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.434, root_relative_squared_error: 0.9776, scimark_benchmark: 393.0078, usercpu_time_millis: 0.047, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6895, f_measure: 0.6389, kappa: 0.0532, kb_relative_information_score: 5.3059, mean_absolute_error: 0.3738, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.8083, predictive_accuracy: 0.74, prior_entropy: 0.836, recall: 0.74, relative_absolute_error: 0.9524, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.9606, scimark_benchmark: 394.1857, usercpu_time_millis: 0.04, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6161, kb_relative_information_score: 0.4421, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.444, root_relative_squared_error: 1.0001, scimark_benchmark: 378.3949, usercpu_time_millis: 0.06, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6161, kb_relative_information_score: 0.4421, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.444, root_relative_squared_error: 1.0001, scimark_benchmark: 384.9254, usercpu_time_millis: 0.174, usercpu_time_millis_testing: 0.115, usercpu_time_millis_training: 0.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6161, kb_relative_information_score: 0.4421, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.444, root_relative_squared_error: 1.0001, scimark_benchmark: 394.9935, usercpu_time_millis: 0.062, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6433, f_measure: 0.6654, kappa: 0.1008, kb_relative_information_score: 4.1652, mean_absolute_error: 0.3616, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6655, predictive_accuracy: 0.72, prior_entropy: 0.836, recall: 0.72, relative_absolute_error: 0.9214, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.433, root_relative_squared_error: 0.9753, scimark_benchmark: 387.3017, usercpu_time_millis: 0.055, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6438, f_measure: 0.6792, kappa: 0.1396, kb_relative_information_score: 3.7282, mean_absolute_error: 0.3685, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.7037, predictive_accuracy: 0.74, prior_entropy: 0.836, recall: 0.74, relative_absolute_error: 0.939, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4286, root_relative_squared_error: 0.9653, scimark_benchmark: 402.3414, usercpu_time_millis: 0.058, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6161, kb_relative_information_score: 0.4421, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.444, root_relative_squared_error: 1.0001, scimark_benchmark: 388.7569, usercpu_time_millis: 0.076, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6621, f_measure: 0.6544, kappa: 0.0839, kb_relative_information_score: 3.7908, mean_absolute_error: 0.3751, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.7219, predictive_accuracy: 0.74, prior_entropy: 0.836, recall: 0.74, relative_absolute_error: 0.9557, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.9636, scimark_benchmark: 387.039, usercpu_time_millis: 0.078, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6438, f_measure: 0.6585, kappa: 0.0823, kb_relative_information_score: 4.3261, mean_absolute_error: 0.3605, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6514, predictive_accuracy: 0.71, prior_entropy: 0.836, recall: 0.71, relative_absolute_error: 0.9186, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.9774, scimark_benchmark: 385.5387, usercpu_time_millis: 0.07, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6161, kb_relative_information_score: 0.4421, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.444, root_relative_squared_error: 1.0001, scimark_benchmark: 397.959, usercpu_time_millis: 0.046, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6161, kb_relative_information_score: 0.4421, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.444, root_relative_squared_error: 1.0001, scimark_benchmark: 390.8144, usercpu_time_millis: 0.039, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6416, f_measure: 0.6585, kappa: 0.0823, kb_relative_information_score: 4.4482, mean_absolute_error: 0.3605, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.6514, predictive_accuracy: 0.71, prior_entropy: 0.836, recall: 0.71, relative_absolute_error: 0.9187, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4335, root_relative_squared_error: 0.9764, scimark_benchmark: 394.0648, usercpu_time_millis: 0.047, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.024,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6161, kb_relative_information_score: 0.4421, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.444, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6161, kb_relative_information_score: 0.4421, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.444, root_relative_squared_error: 1.0001,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6161, kb_relative_information_score: 0.4421, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.444, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6161, kb_relative_information_score: 0.4421, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.444, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6161, kb_relative_information_score: 0.4421, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.444, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6161, kb_relative_information_score: 0.4421, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.444, root_relative_squared_error: 1.0001,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6161, kb_relative_information_score: 0.4421, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.444, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6161, kb_relative_information_score: 0.4421, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.444, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6161, kb_relative_information_score: 0.4421, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.444, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6161, kb_relative_information_score: 0.4421, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.444, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6161, kb_relative_information_score: 0.4421, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.3925, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.836, recall: 0.73, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.444, root_relative_squared_error: 1.0001,

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