Task
Supervised Classification on rabe_148

Supervised Classification on rabe_148

Task 4462 Supervised Classification rabe_148 247 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9561, kappa: 0.9121, kb_relative_information_score: 0.8413, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.5, weighted_recall: 0.9561, number_of_instances: 660, precision: 0.9562, predictive_accuracy: 0.9561, prior_entropy: 1, relative_absolute_error: 0.1742, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.3885, scimark_benchmark: 931.1106, unweighted_recall: 0.9561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.9424, kappa: 0.8848, kb_relative_information_score: 0.8853, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.5, weighted_recall: 0.9424, number_of_instances: 660, precision: 0.9425, predictive_accuracy: 0.9424, prior_entropy: 1, relative_absolute_error: 0.1147, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2376, root_relative_squared_error: 0.4753, scimark_benchmark: 979.7764, unweighted_recall: 0.9424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.9288, kappa: 0.8576, kb_relative_information_score: 542.0282, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9293, predictive_accuracy: 0.9288, prior_entropy: 1, recall: 0.9288, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2644, root_relative_squared_error: 0.5287, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9303, f_measure: 0.9303, kappa: 0.8606, kb_relative_information_score: 568, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9309, predictive_accuracy: 0.9303, prior_entropy: 1, recall: 0.9303, relative_absolute_error: 0.1394, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.264, root_relative_squared_error: 0.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9485, kappa: 0.897, kb_relative_information_score: 567.6626, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9486, predictive_accuracy: 0.9485, prior_entropy: 1, recall: 0.9485, relative_absolute_error: 0.1495, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.4101, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9318, kappa: 0.8636, kb_relative_information_score: 563.549, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9319, predictive_accuracy: 0.9318, prior_entropy: 1, recall: 0.9318, relative_absolute_error: 0.1477, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2533, root_relative_squared_error: 0.5066, scimark_benchmark: 934.3687, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9303, f_measure: 0.9303, kappa: 0.8606, kb_relative_information_score: 568, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9309, predictive_accuracy: 0.9303, prior_entropy: 1, recall: 0.9303, relative_absolute_error: 0.1394, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.264, root_relative_squared_error: 0.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4667, f_measure: 0.4509, kappa: -0.0667, kb_relative_information_score: -44, mean_absolute_error: 0.5333, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.4623, predictive_accuracy: 0.4667, prior_entropy: 1, recall: 0.4667, relative_absolute_error: 1.0667, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7303, root_relative_squared_error: 1.4606, scimark_benchmark: 904.0772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9455, kappa: 0.8909, kb_relative_information_score: 569.1895, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9455, predictive_accuracy: 0.9455, prior_entropy: 1, recall: 0.9455, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.4253, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.9394, kappa: 0.8788, kb_relative_information_score: 531.8282, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9397, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.2146, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.225, root_relative_squared_error: 0.4499, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.95, kappa: 0.9, kb_relative_information_score: 594, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9503, predictive_accuracy: 0.95, prior_entropy: 1, recall: 0.95, relative_absolute_error: 0.1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.4472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.95, kappa: 0.9, kb_relative_information_score: 594, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9503, predictive_accuracy: 0.95, prior_entropy: 1, recall: 0.95, relative_absolute_error: 0.1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.4472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9667, kappa: 0.9333, kb_relative_information_score: 514.9306, mean_absolute_error: 0.1256, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9667, predictive_accuracy: 0.9667, prior_entropy: 1, recall: 0.9667, relative_absolute_error: 0.2513, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.198, root_relative_squared_error: 0.3959, scimark_benchmark: 941.6675, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.95, kappa: 0.9, kb_relative_information_score: 594, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9503, predictive_accuracy: 0.95, prior_entropy: 1, recall: 0.95, relative_absolute_error: 0.1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.4472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.9409, kappa: 0.8818, kb_relative_information_score: 560.1558, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9411, predictive_accuracy: 0.9409, prior_entropy: 1, recall: 0.9409, relative_absolute_error: 0.16, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.4485, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.95, kappa: 0.9, kb_relative_information_score: 594, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9503, predictive_accuracy: 0.95, prior_entropy: 1, recall: 0.95, relative_absolute_error: 0.1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.4472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9561, kappa: 0.9121, kb_relative_information_score: 555.2475, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9562, predictive_accuracy: 0.9561, prior_entropy: 1, recall: 0.9561, relative_absolute_error: 0.1742, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.3885, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4667, f_measure: 0.4509, kappa: -0.0667, kb_relative_information_score: -44, mean_absolute_error: 0.5333, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.4623, predictive_accuracy: 0.4667, prior_entropy: 1, recall: 0.4667, relative_absolute_error: 1.0667, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7303, root_relative_squared_error: 1.4606, scimark_benchmark: 938.5498, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4667, f_measure: 0.4509, kappa: -0.0667, kb_relative_information_score: -44, mean_absolute_error: 0.5333, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.4623, predictive_accuracy: 0.4667, prior_entropy: 1, recall: 0.4667, relative_absolute_error: 1.0667, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7303, root_relative_squared_error: 1.4606, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.95, kappa: 0.9, kb_relative_information_score: 580.3748, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9501, predictive_accuracy: 0.95, prior_entropy: 1, recall: 0.95, relative_absolute_error: 0.1241, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.4179, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9455, kappa: 0.8909, kb_relative_information_score: 569.1895, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9455, predictive_accuracy: 0.9455, prior_entropy: 1, recall: 0.9455, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.4253, scimark_benchmark: 947.1781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9561, kappa: 0.9121, kb_relative_information_score: 555.2475, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9562, predictive_accuracy: 0.9561, prior_entropy: 1, recall: 0.9561, relative_absolute_error: 0.1742, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.3885, scimark_benchmark: 943.1009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.9288, kappa: 0.8576, kb_relative_information_score: 542.0282, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9293, predictive_accuracy: 0.9288, prior_entropy: 1, recall: 0.9288, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2644, root_relative_squared_error: 0.5287, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.95, kappa: 0.9, kb_relative_information_score: 594, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9503, predictive_accuracy: 0.95, prior_entropy: 1, recall: 0.95, relative_absolute_error: 0.1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.4472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9485, kappa: 0.897, kb_relative_information_score: 567.6626, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9486, predictive_accuracy: 0.9485, prior_entropy: 1, recall: 0.9485, relative_absolute_error: 0.1495, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.4101, scimark_benchmark: 908.9569, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9318, kappa: 0.8636, kb_relative_information_score: 563.549, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9319, predictive_accuracy: 0.9318, prior_entropy: 1, recall: 0.9318, relative_absolute_error: 0.1477, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2533, root_relative_squared_error: 0.5066, scimark_benchmark: 940.1541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4667, f_measure: 0.4509, kappa: -0.0667, kb_relative_information_score: -44, mean_absolute_error: 0.5333, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.4623, predictive_accuracy: 0.4667, prior_entropy: 1, recall: 0.4667, relative_absolute_error: 1.0667, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7303, root_relative_squared_error: 1.4606, scimark_benchmark: 943.6618, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4667, f_measure: 0.4509, kappa: -0.0667, kb_relative_information_score: -44, mean_absolute_error: 0.5333, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.4623, predictive_accuracy: 0.4667, prior_entropy: 1, recall: 0.4667, relative_absolute_error: 1.0667, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7303, root_relative_squared_error: 1.4606, scimark_benchmark: 936.2574, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.95, kappa: 0.9, kb_relative_information_score: 580.3748, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9501, predictive_accuracy: 0.95, prior_entropy: 1, recall: 0.95, relative_absolute_error: 0.1241, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.4179, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9455, kappa: 0.8909, kb_relative_information_score: 569.1895, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9455, predictive_accuracy: 0.9455, prior_entropy: 1, recall: 0.9455, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.4253, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9455, kappa: 0.8909, kb_relative_information_score: 569.1895, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9455, predictive_accuracy: 0.9455, prior_entropy: 1, recall: 0.9455, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.4253, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.9394, kappa: 0.8788, kb_relative_information_score: 531.8282, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9397, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.2146, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.225, root_relative_squared_error: 0.4499, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9667, kappa: 0.9333, kb_relative_information_score: 514.9306, mean_absolute_error: 0.1256, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9667, predictive_accuracy: 0.9667, prior_entropy: 1, recall: 0.9667, relative_absolute_error: 0.2513, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.198, root_relative_squared_error: 0.3959, scimark_benchmark: 938.4601, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9455, kappa: 0.8909, kb_relative_information_score: 569.1895, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9455, predictive_accuracy: 0.9455, prior_entropy: 1, recall: 0.9455, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.4253, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.9409, kappa: 0.8818, kb_relative_information_score: 560.1558, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9411, predictive_accuracy: 0.9409, prior_entropy: 1, recall: 0.9409, relative_absolute_error: 0.16, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.4485, scimark_benchmark: 936.9595, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9561, kappa: 0.9121, kb_relative_information_score: 555.2475, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9562, predictive_accuracy: 0.9561, prior_entropy: 1, recall: 0.9561, relative_absolute_error: 0.1742, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.3885, scimark_benchmark: 936.9595, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9561, kappa: 0.9121, kb_relative_information_score: 566.7464, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9563, predictive_accuracy: 0.9561, prior_entropy: 1, recall: 0.9561, relative_absolute_error: 0.1599, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1598, root_relative_squared_error: 0.3197, scimark_benchmark: 901.4991, usercpu_time_millis: 160, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9636, kappa: 0.9273, kb_relative_information_score: 567.7174, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9637, predictive_accuracy: 0.9636, prior_entropy: 1, recall: 0.9636, relative_absolute_error: 0.1586, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1589, root_relative_squared_error: 0.3177, scimark_benchmark: 906.5979, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9561, kappa: 0.9121, kb_relative_information_score: 566.783, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9563, predictive_accuracy: 0.9561, prior_entropy: 1, recall: 0.9561, relative_absolute_error: 0.1588, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.3259, scimark_benchmark: 935.3212, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9621, kappa: 0.9242, kb_relative_information_score: 563.0066, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9622, predictive_accuracy: 0.9621, prior_entropy: 1, recall: 0.9621, relative_absolute_error: 0.1655, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.3365, scimark_benchmark: 931.6751, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.9227, kappa: 0.8455, kb_relative_information_score: 556.1771, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9232, predictive_accuracy: 0.9227, prior_entropy: 1, recall: 0.9227, relative_absolute_error: 0.1574, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2791, root_relative_squared_error: 0.5582, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4667, f_measure: 0.4509, kappa: -0.0667, kb_relative_information_score: -44, mean_absolute_error: 0.5333, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.4623, predictive_accuracy: 0.4667, prior_entropy: 1, recall: 0.4667, relative_absolute_error: 1.0667, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7303, root_relative_squared_error: 1.4606, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.95, kappa: 0.9, kb_relative_information_score: 580.3748, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9501, predictive_accuracy: 0.95, prior_entropy: 1, recall: 0.95, relative_absolute_error: 0.1241, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.4179, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9455, kappa: 0.8909, kb_relative_information_score: 569.1895, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9455, predictive_accuracy: 0.9455, prior_entropy: 1, recall: 0.9455, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.4253, scimark_benchmark: 1286.2211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9455, kappa: 0.8909, kb_relative_information_score: 569.1895, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9455, predictive_accuracy: 0.9455, prior_entropy: 1, recall: 0.9455, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.4253, scimark_benchmark: 908.2231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.9394, kappa: 0.8788, kb_relative_information_score: 531.8282, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9397, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.2146, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.225, root_relative_squared_error: 0.4499, scimark_benchmark: 1347.6543, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.95, kappa: 0.9, kb_relative_information_score: 580.3748, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9501, predictive_accuracy: 0.95, prior_entropy: 1, recall: 0.95, relative_absolute_error: 0.1241, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.4179, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9455, kappa: 0.8909, kb_relative_information_score: 569.1895, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9455, predictive_accuracy: 0.9455, prior_entropy: 1, recall: 0.9455, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.4253, scimark_benchmark: 930.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9455, kappa: 0.8909, kb_relative_information_score: 569.1895, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9455, predictive_accuracy: 0.9455, prior_entropy: 1, recall: 0.9455, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.4253, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9455, kappa: 0.8909, kb_relative_information_score: 569.1895, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9455, predictive_accuracy: 0.9455, prior_entropy: 1, recall: 0.9455, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.4253, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9455, kappa: 0.8909, kb_relative_information_score: 569.1895, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9455, predictive_accuracy: 0.9455, prior_entropy: 1, recall: 0.9455, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.4253, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9455, kappa: 0.8909, kb_relative_information_score: 569.1895, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9455, predictive_accuracy: 0.9455, prior_entropy: 1, recall: 0.9455, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.4253, scimark_benchmark: 1309.0674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9455, kappa: 0.8909, kb_relative_information_score: 569.1895, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9455, predictive_accuracy: 0.9455, prior_entropy: 1, recall: 0.9455, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.4253, scimark_benchmark: 1317.2327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.9288, kappa: 0.8576, kb_relative_information_score: 542.0282, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9293, predictive_accuracy: 0.9288, prior_entropy: 1, recall: 0.9288, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2644, root_relative_squared_error: 0.5287, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9485, kappa: 0.897, kb_relative_information_score: 567.6626, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9486, predictive_accuracy: 0.9485, prior_entropy: 1, recall: 0.9485, relative_absolute_error: 0.1495, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.4101, scimark_benchmark: 1274.7011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4667, f_measure: 0.4509, kappa: -0.0667, kb_relative_information_score: -44, mean_absolute_error: 0.5333, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.4623, predictive_accuracy: 0.4667, prior_entropy: 1, recall: 0.4667, relative_absolute_error: 1.0667, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7303, root_relative_squared_error: 1.4606, scimark_benchmark: 1351.1238, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.95, kappa: 0.9, kb_relative_information_score: 580.3748, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9501, predictive_accuracy: 0.95, prior_entropy: 1, recall: 0.95, relative_absolute_error: 0.1241, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.4179, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9667, kappa: 0.9333, kb_relative_information_score: 514.9306, mean_absolute_error: 0.1256, mean_prior_absolute_error: 0.5, number_of_instances: 660, precision: 0.9667, predictive_accuracy: 0.9667, prior_entropy: 1, recall: 0.9667, relative_absolute_error: 0.2513, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.198, root_relative_squared_error: 0.3959, scimark_benchmark: 1313.11, usercpu_time_millis: 20, usercpu_time_millis_training: 20,

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