OpenML
Supervised Classification on pc1

Supervised Classification on pc1

Task 3918 Supervised Classification pc1 147053 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_123 study_14 study_15 study_20 study_41 study_7 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8139, f_measure: 0.9106, kappa: 0.1707, kb_relative_information_score: -177.6249, mean_absolute_error: 0.1133, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9094, predictive_accuracy: 0.9315, prior_entropy: 0.3667, recall: 0.9315, relative_absolute_error: 0.872, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.9629, scimark_benchmark: 1224.5738, usercpu_time_millis: 15.142, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 15.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8099, f_measure: 0.9059, kappa: 0.1376, kb_relative_information_score: -220.3073, mean_absolute_error: 0.1149, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.898, predictive_accuracy: 0.9261, prior_entropy: 0.3667, recall: 0.9261, relative_absolute_error: 0.8845, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2498, root_relative_squared_error: 0.9827, scimark_benchmark: 1219.15, usercpu_time_millis: 16.37, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 16.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7879, f_measure: 0.9076, kappa: 0.146, kb_relative_information_score: -215.8161, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9026, predictive_accuracy: 0.9288, prior_entropy: 0.3667, recall: 0.9288, relative_absolute_error: 0.8822, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2479, root_relative_squared_error: 0.9751, scimark_benchmark: 1236.3201, usercpu_time_millis: 26.305, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 26.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2193.0037, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 1.3689, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2604, root_relative_squared_error: 1.0243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5053, f_measure: 0.8565, kappa: -0.0074, kb_relative_information_score: -5667.4646, mean_absolute_error: 0.3566, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8698, predictive_accuracy: 0.844, prior_entropy: 0.3667, recall: 0.844, relative_absolute_error: 2.7456, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3899, root_relative_squared_error: 1.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4858, kb_relative_information_score: 26.5634, mean_absolute_error: 0.1242, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9563, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2543, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5294, f_measure: 0.6064, kappa: 0.0148, kb_relative_information_score: -4934.0036, mean_absolute_error: 0.5068, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8786, predictive_accuracy: 0.4932, prior_entropy: 0.3667, recall: 0.4932, relative_absolute_error: 3.9015, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.7119, root_relative_squared_error: 2.8006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5497, f_measure: 0.5073, kappa: 0.0208, kb_relative_information_score: -6082.8765, mean_absolute_error: 0.6032, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8878, predictive_accuracy: 0.3968, prior_entropy: 0.3667, recall: 0.3968, relative_absolute_error: 4.6443, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.7767, root_relative_squared_error: 3.0556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7523, kb_relative_information_score: -590.4306, mean_absolute_error: 0.1232, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9483, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2455, root_relative_squared_error: 0.9659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7236, kb_relative_information_score: -146.4292, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9027, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2498, root_relative_squared_error: 0.9829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: -131.0843, mean_absolute_error: 0.132, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 1.0166, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7427, kb_relative_information_score: -461.1794, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9453, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2456, root_relative_squared_error: 0.9663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4858, kb_relative_information_score: -145.4434, mean_absolute_error: 0.1323, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 1.0184, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4856, kb_relative_information_score: -40.066, mean_absolute_error: 0.1297, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5044, kb_relative_information_score: 15.4867, mean_absolute_error: 0.1266, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9745, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4956, f_measure: 0.8565, kappa: -0.0074, kb_relative_information_score: -757.2605, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8698, predictive_accuracy: 0.844, prior_entropy: 0.3667, recall: 0.844, relative_absolute_error: 1.201, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.395, root_relative_squared_error: 1.5538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -9980.4543, mean_absolute_error: 0.9306, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.0694, prior_entropy: 0.3667, recall: 0.0694, relative_absolute_error: 7.1643, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.9647, root_relative_squared_error: 3.7951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7465, kb_relative_information_score: -452.2719, mean_absolute_error: 0.1184, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9113, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.9644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4956, kb_relative_information_score: 215.8192, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.6355, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2599, root_relative_squared_error: 1.0226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4858, kb_relative_information_score: 12.3724, mean_absolute_error: 0.1272, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9797, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5044, kb_relative_information_score: 9.9551, mean_absolute_error: 0.1278, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4956, kb_relative_information_score: 41.3069, mean_absolute_error: 0.121, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9318, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2544, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7307, kb_relative_information_score: -341.8104, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9104, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.9742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7238, kb_relative_information_score: -1134.5985, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 1.1667, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2514, root_relative_squared_error: 0.9892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5044, kb_relative_information_score: 32.7588, mean_absolute_error: 0.1229, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.946, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2543, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: -142.9842, mean_absolute_error: 0.1322, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 1.0181, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4956, kb_relative_information_score: -13.8889, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9896, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4858, kb_relative_information_score: -29.0792, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9804, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2543, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7745, f_measure: 0.9052, kappa: 0.154, kb_relative_information_score: -367.6785, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8959, predictive_accuracy: 0.9216, prior_entropy: 0.3667, recall: 0.9216, relative_absolute_error: 0.8394, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2532, root_relative_squared_error: 0.9961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: -2.3401, mean_absolute_error: 0.1296, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7684, kb_relative_information_score: -501.2987, mean_absolute_error: 0.1198, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9227, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2449, root_relative_squared_error: 0.9635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -9980.4543, mean_absolute_error: 0.9306, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.0694, prior_entropy: 0.3667, recall: 0.0694, relative_absolute_error: 7.1643, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.9647, root_relative_squared_error: 3.7951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 174.3082, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.7073, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2579, root_relative_squared_error: 1.0145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: -260.1942, mean_absolute_error: 0.1342, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 1.0334, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2543, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4956, kb_relative_information_score: -617.271, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 1.0836, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2546, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: -464.3133, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 1.0614, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2544, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5044, kb_relative_information_score: 42.716, mean_absolute_error: 0.1207, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9294, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2544, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5497, kb_relative_information_score: 32.8653, mean_absolute_error: 0.1229, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9458, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1.0002,
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: 0.4856, f_measure: 0.8971, kb_relative_information_score: 3.116, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1, scimark_benchmark: 1231.8477, usercpu_time_millis: 0.51, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4856, f_measure: 0.8971, kb_relative_information_score: 3.116, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1, scimark_benchmark: 1280.9956, usercpu_time_millis: 1.171, usercpu_time_millis_testing: 0.145, usercpu_time_millis_training: 1.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4856, f_measure: 0.8971, kb_relative_information_score: 3.116, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1, scimark_benchmark: 1266.5958, usercpu_time_millis: 1.325, usercpu_time_millis_testing: 0.213, usercpu_time_millis_training: 1.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4856, f_measure: 0.8971, kb_relative_information_score: 3.116, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1, scimark_benchmark: 1239.169, usercpu_time_millis: 0.479, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4856, f_measure: 0.8971, kb_relative_information_score: 3.116, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1, scimark_benchmark: 1277.0144, usercpu_time_millis: 0.377, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4856, f_measure: 0.8971, kb_relative_information_score: 3.116, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1, scimark_benchmark: 1283.2486, usercpu_time_millis: 1.305, usercpu_time_millis_testing: 0.196, usercpu_time_millis_training: 1.109,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4856, f_measure: 0.8971, kb_relative_information_score: 3.116, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1, scimark_benchmark: 1277.9175, usercpu_time_millis: 0.401, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.366,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4856, f_measure: 0.8971, kb_relative_information_score: 3.116, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1, scimark_benchmark: 1264.2717, usercpu_time_millis: 0.584, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4856, f_measure: 0.8971, kb_relative_information_score: 3.116, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1, scimark_benchmark: 1247.6494, usercpu_time_millis: 0.425, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.388,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4856, f_measure: 0.8971, kb_relative_information_score: 3.116, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1, scimark_benchmark: 1256.1815, usercpu_time_millis: 0.866, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 0.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4856, f_measure: 0.8971, kb_relative_information_score: 3.116, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1, scimark_benchmark: 1261.169, usercpu_time_millis: 0.474, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4856, f_measure: 0.8971, kb_relative_information_score: 3.116, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1, scimark_benchmark: 1258.4311, usercpu_time_millis: 0.558, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4856, f_measure: 0.8971, kb_relative_information_score: 3.116, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1, scimark_benchmark: 1285.2716, usercpu_time_millis: 0.619, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 0.526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4856, f_measure: 0.8971, kb_relative_information_score: 3.116, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1, scimark_benchmark: 1279.4292, usercpu_time_millis: 0.734, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 0.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4856, f_measure: 0.8971, kb_relative_information_score: 3.116, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1, scimark_benchmark: 1279.8139, usercpu_time_millis: 1.128, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 0.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4856, f_measure: 0.8971, kb_relative_information_score: 3.116, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1, scimark_benchmark: 1242.3383, usercpu_time_millis: 0.504, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4856, f_measure: 0.8971, kb_relative_information_score: 3.116, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1, scimark_benchmark: 1262.4787, usercpu_time_millis: 0.507, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4856, f_measure: 0.8971, kb_relative_information_score: 3.116, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1, scimark_benchmark: 1230.9343, usercpu_time_millis: 0.41, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4856, f_measure: 0.8971, kb_relative_information_score: 3.116, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1, scimark_benchmark: 1281.3342, usercpu_time_millis: 1.13, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 1.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4856, f_measure: 0.8971, kb_relative_information_score: 3.116, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1, scimark_benchmark: 1273.7582, usercpu_time_millis: 0.436, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.396,

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