OpenML
Supervised Classification on breastTumor

Supervised Classification on breastTumor

Task 3709 Supervised Classification breastTumor 508 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6325, f_measure: 0.6062, kappa: 0.1953, kb_relative_information_score: 31.8425, mean_absolute_error: 0.4351, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6083, predictive_accuracy: 0.6049, prior_entropy: 0.9815, recall: 0.6049, relative_absolute_error: 0.8932, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0176, scimark_benchmark: 1375.1578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6325, f_measure: 0.6062, kappa: 0.1953, kb_relative_information_score: 31.8425, mean_absolute_error: 0.4351, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6083, predictive_accuracy: 0.6049, prior_entropy: 0.9815, recall: 0.6049, relative_absolute_error: 0.8932, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0176, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.549, f_measure: 0.5545, kappa: 0.083, kb_relative_information_score: 7.9629, mean_absolute_error: 0.4717, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5534, predictive_accuracy: 0.5559, prior_entropy: 0.9815, recall: 0.5559, relative_absolute_error: 0.9682, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5149, root_relative_squared_error: 1.0433, scimark_benchmark: 1324.7884, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6675, f_measure: 0.6107, kappa: 0.2106, kb_relative_information_score: 43.8994, mean_absolute_error: 0.4153, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6168, predictive_accuracy: 0.6084, prior_entropy: 0.9815, recall: 0.6084, relative_absolute_error: 0.8526, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4912, root_relative_squared_error: 0.9953, scimark_benchmark: 1335.6555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6325, f_measure: 0.6062, kappa: 0.1953, kb_relative_information_score: 31.8425, mean_absolute_error: 0.4351, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6083, predictive_accuracy: 0.6049, prior_entropy: 0.9815, recall: 0.6049, relative_absolute_error: 0.8932, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0176, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6325, f_measure: 0.6062, kappa: 0.1953, kb_relative_information_score: 31.8425, mean_absolute_error: 0.4351, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6083, predictive_accuracy: 0.6049, prior_entropy: 0.9815, recall: 0.6049, relative_absolute_error: 0.8932, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0176, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6325, f_measure: 0.6062, kappa: 0.1953, kb_relative_information_score: 31.8425, mean_absolute_error: 0.4351, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6083, predictive_accuracy: 0.6049, prior_entropy: 0.9815, recall: 0.6049, relative_absolute_error: 0.8932, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0176, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4845, f_measure: 0.4697, kappa: -0.0518, kb_relative_information_score: -3.8499, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.4748, predictive_accuracy: 0.5315, prior_entropy: 0.9815, recall: 0.5315, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5203, root_relative_squared_error: 1.0543, scimark_benchmark: 1347.1763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5078, f_measure: 0.4832, kappa: 0.0176, kb_relative_information_score: 32.6959, mean_absolute_error: 0.4266, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.533, predictive_accuracy: 0.5734, prior_entropy: 0.9815, recall: 0.5734, relative_absolute_error: 0.8756, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.6531, root_relative_squared_error: 1.3235, scimark_benchmark: 1316.5668, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6675, f_measure: 0.6107, kappa: 0.2106, kb_relative_information_score: 43.8994, mean_absolute_error: 0.4153, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6168, predictive_accuracy: 0.6084, prior_entropy: 0.9815, recall: 0.6084, relative_absolute_error: 0.8526, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4912, root_relative_squared_error: 0.9953, scimark_benchmark: 1333.6736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6325, f_measure: 0.6062, kappa: 0.1953, kb_relative_information_score: 31.8425, mean_absolute_error: 0.4351, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6083, predictive_accuracy: 0.6049, prior_entropy: 0.9815, recall: 0.6049, relative_absolute_error: 0.8932, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0176, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6325, f_measure: 0.6062, kappa: 0.1953, kb_relative_information_score: 31.8425, mean_absolute_error: 0.4351, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6083, predictive_accuracy: 0.6049, prior_entropy: 0.9815, recall: 0.6049, relative_absolute_error: 0.8932, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0176, scimark_benchmark: 1310.6554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6325, f_measure: 0.6062, kappa: 0.1953, kb_relative_information_score: 31.8425, mean_absolute_error: 0.4351, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6083, predictive_accuracy: 0.6049, prior_entropy: 0.9815, recall: 0.6049, relative_absolute_error: 0.8932, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0176, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.549, f_measure: 0.5545, kappa: 0.083, kb_relative_information_score: 7.9629, mean_absolute_error: 0.4717, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5534, predictive_accuracy: 0.5559, prior_entropy: 0.9815, recall: 0.5559, relative_absolute_error: 0.9682, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5149, root_relative_squared_error: 1.0433, scimark_benchmark: 1318.4315, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5766, f_measure: 0.5615, kappa: 0.0975, kb_relative_information_score: 17.3691, mean_absolute_error: 0.4558, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5605, predictive_accuracy: 0.5629, prior_entropy: 0.9815, recall: 0.5629, relative_absolute_error: 0.9356, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5266, root_relative_squared_error: 1.067, scimark_benchmark: 1316.5396, usercpu_time_millis: 740, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6325, f_measure: 0.6062, kappa: 0.1953, kb_relative_information_score: 31.8425, mean_absolute_error: 0.4351, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6083, predictive_accuracy: 0.6049, prior_entropy: 0.9815, recall: 0.6049, relative_absolute_error: 0.8932, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0176, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6688, f_measure: 0.6175, kappa: 0.2229, kb_relative_information_score: 44.3444, mean_absolute_error: 0.4152, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6226, predictive_accuracy: 0.6154, prior_entropy: 0.9815, recall: 0.6154, relative_absolute_error: 0.8524, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4911, root_relative_squared_error: 0.9952, scimark_benchmark: 1316.5396, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4845, f_measure: 0.4697, kappa: -0.0518, kb_relative_information_score: -3.8499, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.4748, predictive_accuracy: 0.5315, prior_entropy: 0.9815, recall: 0.5315, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5203, root_relative_squared_error: 1.0543, scimark_benchmark: 1385.8862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6675, f_measure: 0.6107, kappa: 0.2106, kb_relative_information_score: 43.8994, mean_absolute_error: 0.4153, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6168, predictive_accuracy: 0.6084, prior_entropy: 0.9815, recall: 0.6084, relative_absolute_error: 0.8526, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4912, root_relative_squared_error: 0.9953, scimark_benchmark: 1313.5633, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6325, f_measure: 0.6062, kappa: 0.1953, kb_relative_information_score: 31.8425, mean_absolute_error: 0.4351, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6083, predictive_accuracy: 0.6049, prior_entropy: 0.9815, recall: 0.6049, relative_absolute_error: 0.8932, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0176, scimark_benchmark: 1337.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.549, f_measure: 0.5545, kappa: 0.083, kb_relative_information_score: 7.9629, mean_absolute_error: 0.4717, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5534, predictive_accuracy: 0.5559, prior_entropy: 0.9815, recall: 0.5559, relative_absolute_error: 0.9682, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5149, root_relative_squared_error: 1.0433, scimark_benchmark: 1332.7986, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5766, f_measure: 0.5615, kappa: 0.0975, kb_relative_information_score: 17.3691, mean_absolute_error: 0.4558, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5605, predictive_accuracy: 0.5629, prior_entropy: 0.9815, recall: 0.5629, relative_absolute_error: 0.9356, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5266, root_relative_squared_error: 1.067, scimark_benchmark: 1342.8584, usercpu_time_millis: 800, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6325, f_measure: 0.6062, kappa: 0.1953, kb_relative_information_score: 31.8425, mean_absolute_error: 0.4351, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6083, predictive_accuracy: 0.6049, prior_entropy: 0.9815, recall: 0.6049, relative_absolute_error: 0.8932, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0176, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6688, f_measure: 0.6175, kappa: 0.2229, kb_relative_information_score: 44.3444, mean_absolute_error: 0.4152, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6226, predictive_accuracy: 0.6154, prior_entropy: 0.9815, recall: 0.6154, relative_absolute_error: 0.8524, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4911, root_relative_squared_error: 0.9952, scimark_benchmark: 1358.6198, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5892, f_measure: 0.5998, kappa: 0.1759, kb_relative_information_score: 8.9597, mean_absolute_error: 0.4739, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5988, predictive_accuracy: 0.6014, prior_entropy: 0.9815, recall: 0.6014, relative_absolute_error: 0.9728, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4928, root_relative_squared_error: 0.9986, scimark_benchmark: 1346.0226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.552, f_measure: 0.5893, kappa: 0.1626, kb_relative_information_score: 8.4097, mean_absolute_error: 0.4741, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5925, predictive_accuracy: 0.5874, prior_entropy: 0.9815, recall: 0.5874, relative_absolute_error: 0.9733, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5207, root_relative_squared_error: 1.0552, scimark_benchmark: 1339.3082, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5078, f_measure: 0.4832, kappa: 0.0176, kb_relative_information_score: 32.6959, mean_absolute_error: 0.4266, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.533, predictive_accuracy: 0.5734, prior_entropy: 0.9815, recall: 0.5734, relative_absolute_error: 0.8756, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.6531, root_relative_squared_error: 1.3235, scimark_benchmark: 1318.4315, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5078, f_measure: 0.4832, kappa: 0.0176, kb_relative_information_score: 32.6959, mean_absolute_error: 0.4266, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.533, predictive_accuracy: 0.5734, prior_entropy: 0.9815, recall: 0.5734, relative_absolute_error: 0.8756, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.6531, root_relative_squared_error: 1.3235, scimark_benchmark: 1345.7919, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6675, f_measure: 0.6107, kappa: 0.2106, kb_relative_information_score: 43.8994, mean_absolute_error: 0.4153, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6168, predictive_accuracy: 0.6084, prior_entropy: 0.9815, recall: 0.6084, relative_absolute_error: 0.8526, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4912, root_relative_squared_error: 0.9953, scimark_benchmark: 1313.5633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.549, f_measure: 0.5545, kappa: 0.083, kb_relative_information_score: 7.9629, mean_absolute_error: 0.4717, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5534, predictive_accuracy: 0.5559, prior_entropy: 0.9815, recall: 0.5559, relative_absolute_error: 0.9682, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5149, root_relative_squared_error: 1.0433, scimark_benchmark: 1336.0954, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6688, f_measure: 0.6175, kappa: 0.2229, kb_relative_information_score: 44.3444, mean_absolute_error: 0.4152, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6226, predictive_accuracy: 0.6154, prior_entropy: 0.9815, recall: 0.6154, relative_absolute_error: 0.8524, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4911, root_relative_squared_error: 0.9952, scimark_benchmark: 1314.2279, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5158, f_measure: 0.5215, kappa: 0.0115, kb_relative_information_score: 1.828, mean_absolute_error: 0.4802, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5186, predictive_accuracy: 0.528, prior_entropy: 0.9815, recall: 0.528, relative_absolute_error: 0.9858, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5448, root_relative_squared_error: 1.104, scimark_benchmark: 1308.6872, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4845, f_measure: 0.4697, kappa: -0.0518, kb_relative_information_score: -3.8499, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.4748, predictive_accuracy: 0.5315, prior_entropy: 0.9815, recall: 0.5315, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5203, root_relative_squared_error: 1.0543, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6325, f_measure: 0.6062, kappa: 0.1953, kb_relative_information_score: 31.8425, mean_absolute_error: 0.4351, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6083, predictive_accuracy: 0.6049, prior_entropy: 0.9815, recall: 0.6049, relative_absolute_error: 0.8932, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0176, scimark_benchmark: 1356.4396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6688, f_measure: 0.6175, kappa: 0.2229, kb_relative_information_score: 44.3444, mean_absolute_error: 0.4152, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6226, predictive_accuracy: 0.6154, prior_entropy: 0.9815, recall: 0.6154, relative_absolute_error: 0.8524, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4911, root_relative_squared_error: 0.9952, scimark_benchmark: 1343.7262, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5158, f_measure: 0.5215, kappa: 0.0115, kb_relative_information_score: 1.828, mean_absolute_error: 0.4802, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5186, predictive_accuracy: 0.528, prior_entropy: 0.9815, recall: 0.528, relative_absolute_error: 0.9858, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5448, root_relative_squared_error: 1.104, scimark_benchmark: 1278.9821, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5078, f_measure: 0.4832, kappa: 0.0176, kb_relative_information_score: 32.6959, mean_absolute_error: 0.4266, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.533, predictive_accuracy: 0.5734, prior_entropy: 0.9815, recall: 0.5734, relative_absolute_error: 0.8756, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.6531, root_relative_squared_error: 1.3235, scimark_benchmark: 1333.3065, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5078, f_measure: 0.4832, kappa: 0.0176, kb_relative_information_score: 32.6959, mean_absolute_error: 0.4266, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.533, predictive_accuracy: 0.5734, prior_entropy: 0.9815, recall: 0.5734, relative_absolute_error: 0.8756, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.6531, root_relative_squared_error: 1.3235, scimark_benchmark: 1354.3488, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6228, f_measure: 0.6047, kappa: 0.1879, kb_relative_information_score: 28.4523, mean_absolute_error: 0.4396, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6044, predictive_accuracy: 0.6049, prior_entropy: 0.9815, recall: 0.6049, relative_absolute_error: 0.9024, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0131, scimark_benchmark: 1308.3432, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6513, f_measure: 0.6466, kappa: 0.2741, kb_relative_information_score: 33.7412, mean_absolute_error: 0.4339, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6465, predictive_accuracy: 0.6469, prior_entropy: 0.9815, recall: 0.6469, relative_absolute_error: 0.8907, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4847, root_relative_squared_error: 0.9821, scimark_benchmark: 1322.4968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.609, f_measure: 0.5846, kappa: 0.1487, kb_relative_information_score: 25.0286, mean_absolute_error: 0.4452, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5854, predictive_accuracy: 0.5839, prior_entropy: 0.9815, recall: 0.5839, relative_absolute_error: 0.9139, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5111, root_relative_squared_error: 1.0357, scimark_benchmark: 1307.3764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6163, f_measure: 0.6209, kappa: 0.2291, kb_relative_information_score: 59.6792, mean_absolute_error: 0.3811, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6255, predictive_accuracy: 0.6189, prior_entropy: 0.9815, recall: 0.6189, relative_absolute_error: 0.7823, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.6173, root_relative_squared_error: 1.251, scimark_benchmark: 855.8522, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5603, f_measure: 0.5669, kappa: 0.1119, kb_relative_information_score: 11.3614, mean_absolute_error: 0.4692, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5674, predictive_accuracy: 0.5664, prior_entropy: 0.9815, recall: 0.5664, relative_absolute_error: 0.9631, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4966, root_relative_squared_error: 1.0063, scimark_benchmark: 1205.8291, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5339, f_measure: 0.5498, kappa: 0.0697, kb_relative_information_score: 24.3933, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.548, predictive_accuracy: 0.5594, prior_entropy: 0.9815, recall: 0.5594, relative_absolute_error: 0.9044, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.6637, root_relative_squared_error: 1.345, scimark_benchmark: 1449.4352, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5676, f_measure: 0.604, kappa: 0.2019, kb_relative_information_score: 15.0175, mean_absolute_error: 0.4651, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6137, predictive_accuracy: 0.6014, prior_entropy: 0.9815, recall: 0.6014, relative_absolute_error: 0.9547, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4854, root_relative_squared_error: 0.9835, scimark_benchmark: 1328.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5892, f_measure: 0.5998, kappa: 0.1759, kb_relative_information_score: 8.9597, mean_absolute_error: 0.4739, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5988, predictive_accuracy: 0.6014, prior_entropy: 0.9815, recall: 0.6014, relative_absolute_error: 0.9728, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4928, root_relative_squared_error: 0.9986, scimark_benchmark: 909.1698, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5967, f_measure: 0.5704, kappa: 0.1228, kb_relative_information_score: 10.7122, mean_absolute_error: 0.4704, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5834, predictive_accuracy: 0.5979, prior_entropy: 0.9815, recall: 0.5979, relative_absolute_error: 0.9656, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4869, root_relative_squared_error: 0.9867, scimark_benchmark: 1308.3432, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.5601, kappa: 0.101, kb_relative_information_score: 11.1239, mean_absolute_error: 0.4696, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5705, predictive_accuracy: 0.5874, prior_entropy: 0.9815, recall: 0.5874, relative_absolute_error: 0.964, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4865, root_relative_squared_error: 0.9859, scimark_benchmark: 1292.1375, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6091, f_measure: 0.5788, kappa: 0.1325, kb_relative_information_score: 24.8729, mean_absolute_error: 0.4443, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5776, predictive_accuracy: 0.5804, prior_entropy: 0.9815, recall: 0.5804, relative_absolute_error: 0.912, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5087, root_relative_squared_error: 1.0308, scimark_benchmark: 1309.4998, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5885, f_measure: 0.5729, kappa: 0.1702, kb_relative_information_score: 22.4116, mean_absolute_error: 0.4481, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6057, predictive_accuracy: 0.5734, prior_entropy: 0.9815, recall: 0.5734, relative_absolute_error: 0.9198, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5094, root_relative_squared_error: 1.0323, scimark_benchmark: 1341.4524, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5885, f_measure: 0.5729, kappa: 0.1702, kb_relative_information_score: 22.4116, mean_absolute_error: 0.4481, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6057, predictive_accuracy: 0.5734, prior_entropy: 0.9815, recall: 0.5734, relative_absolute_error: 0.9198, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5094, root_relative_squared_error: 1.0323, scimark_benchmark: 1360.2771, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4845, f_measure: 0.4697, kappa: -0.0518, kb_relative_information_score: -3.8499, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.4748, predictive_accuracy: 0.5315, prior_entropy: 0.9815, recall: 0.5315, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5203, root_relative_squared_error: 1.0543, scimark_benchmark: 1386.5717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6645, f_measure: 0.614, kappa: 0.2149, kb_relative_information_score: 42.5731, mean_absolute_error: 0.4178, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6185, predictive_accuracy: 0.6119, prior_entropy: 0.9815, recall: 0.6119, relative_absolute_error: 0.8576, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4904, root_relative_squared_error: 0.9937, scimark_benchmark: 1319.9329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6209, f_measure: 0.5968, kappa: 0.1667, kb_relative_information_score: 20.3677, mean_absolute_error: 0.4557, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5965, predictive_accuracy: 0.6049, prior_entropy: 0.9815, recall: 0.6049, relative_absolute_error: 0.9355, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4863, root_relative_squared_error: 0.9854, scimark_benchmark: 1315.4655, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6224, f_measure: 0.6047, kappa: 0.1879, kb_relative_information_score: 28.4879, mean_absolute_error: 0.4395, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6044, predictive_accuracy: 0.6049, prior_entropy: 0.9815, recall: 0.6049, relative_absolute_error: 0.9022, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0149, scimark_benchmark: 1334.8495, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5557, f_measure: 0.5712, kappa: 0.1162, kb_relative_information_score: 40.9984, mean_absolute_error: 0.4126, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.574, predictive_accuracy: 0.5874, prior_entropy: 0.9815, recall: 0.5874, relative_absolute_error: 0.8469, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.6423, root_relative_squared_error: 1.3016, scimark_benchmark: 1358.4523, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5399, f_measure: 0.5501, kappa: 0.0793, kb_relative_information_score: 18.1664, mean_absolute_error: 0.451, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5516, predictive_accuracy: 0.549, prior_entropy: 0.9815, recall: 0.549, relative_absolute_error: 0.9259, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.6716, root_relative_squared_error: 1.3609, scimark_benchmark: 1344.7246, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, f_measure: 0.4263, kb_relative_information_score: -0.0377, mean_absolute_error: 0.4872, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.3369, predictive_accuracy: 0.5804, prior_entropy: 0.9815, recall: 0.5804, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4935, root_relative_squared_error: 1, scimark_benchmark: 1342.5243,

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