Task
Supervised Classification on analcatdata_germangss

Supervised Classification on analcatdata_germangss

Task 3887 Supervised Classification analcatdata_germangss 555 runs submitted
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  • study_1 study_107 study_41 study_50 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.8876, kappa: 0.6716, kb_relative_information_score: 221.2521, mean_absolute_error: 0.1513, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8868, predictive_accuracy: 0.89, prior_entropy: 0.7716, recall: 0.89, relative_absolute_error: 0.4329, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2872, root_relative_squared_error: 0.6877, scimark_benchmark: 1371.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.8942, kappa: 0.6833, kb_relative_information_score: 220.3024, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8985, predictive_accuracy: 0.9, prior_entropy: 0.7716, recall: 0.9, relative_absolute_error: 0.4562, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.6238, scimark_benchmark: 1318.9519, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.9163, kappa: 0.7567, kb_relative_information_score: 258.5488, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9159, predictive_accuracy: 0.9175, prior_entropy: 0.7716, recall: 0.9175, relative_absolute_error: 0.3471, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2405, root_relative_squared_error: 0.5759, scimark_benchmark: 1297.2338, usercpu_time_millis: 1230, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.8909, kappa: 0.683, kb_relative_information_score: 173.2153, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8901, predictive_accuracy: 0.8925, prior_entropy: 0.7716, recall: 0.8925, relative_absolute_error: 0.5858, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.6606, scimark_benchmark: 1371.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.8942, kappa: 0.6833, kb_relative_information_score: 220.3024, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8985, predictive_accuracy: 0.9, prior_entropy: 0.7716, recall: 0.9, relative_absolute_error: 0.4562, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.6238, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.9108, kappa: 0.7399, kb_relative_information_score: 236.3419, mean_absolute_error: 0.1412, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9104, predictive_accuracy: 0.9125, prior_entropy: 0.7716, recall: 0.9125, relative_absolute_error: 0.404, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2529, root_relative_squared_error: 0.6057, scimark_benchmark: 1278.6629, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.8942, kappa: 0.6833, kb_relative_information_score: 220.3024, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8985, predictive_accuracy: 0.9, prior_entropy: 0.7716, recall: 0.9, relative_absolute_error: 0.4562, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.6238, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.9163, kappa: 0.7567, kb_relative_information_score: 258.5488, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9159, predictive_accuracy: 0.9175, prior_entropy: 0.7716, recall: 0.9175, relative_absolute_error: 0.3471, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2405, root_relative_squared_error: 0.5759, scimark_benchmark: 1393.8432, usercpu_time_millis: 500, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.8942, kappa: 0.6833, kb_relative_information_score: 220.3024, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8985, predictive_accuracy: 0.9, prior_entropy: 0.7716, recall: 0.9, relative_absolute_error: 0.4562, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.6238, scimark_benchmark: 1331.4379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.8942, kappa: 0.6833, kb_relative_information_score: 220.3024, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8985, predictive_accuracy: 0.9, prior_entropy: 0.7716, recall: 0.9, relative_absolute_error: 0.4562, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.6238, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.8883, kappa: 0.6696, kb_relative_information_score: 197.9321, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8888, predictive_accuracy: 0.8925, prior_entropy: 0.7716, recall: 0.8925, relative_absolute_error: 0.5007, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2737, root_relative_squared_error: 0.6555, scimark_benchmark: 1345.6844, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.8948, kappa: 0.686, kb_relative_information_score: 204.2521, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8979, predictive_accuracy: 0.9, prior_entropy: 0.7716, recall: 0.9, relative_absolute_error: 0.4972, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2754, root_relative_squared_error: 0.6596, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.8942, kappa: 0.6833, kb_relative_information_score: 220.3024, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8985, predictive_accuracy: 0.9, prior_entropy: 0.7716, recall: 0.9, relative_absolute_error: 0.4562, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.6238, scimark_benchmark: 1336.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.8948, kappa: 0.686, kb_relative_information_score: 204.2521, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8979, predictive_accuracy: 0.9, prior_entropy: 0.7716, recall: 0.9, relative_absolute_error: 0.4972, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2754, root_relative_squared_error: 0.6596, scimark_benchmark: 1333.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.8909, kappa: 0.683, kb_relative_information_score: 173.2153, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8901, predictive_accuracy: 0.8925, prior_entropy: 0.7716, recall: 0.8925, relative_absolute_error: 0.5858, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.6606, scimark_benchmark: 1342.8584, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.8942, kappa: 0.6833, kb_relative_information_score: 220.3024, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8985, predictive_accuracy: 0.9, prior_entropy: 0.7716, recall: 0.9, relative_absolute_error: 0.4562, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.6238, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.8942, kappa: 0.6833, kb_relative_information_score: 220.3024, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8985, predictive_accuracy: 0.9, prior_entropy: 0.7716, recall: 0.9, relative_absolute_error: 0.4562, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.6238, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.8942, kappa: 0.6833, kb_relative_information_score: 220.3024, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8985, predictive_accuracy: 0.9, prior_entropy: 0.7716, recall: 0.9, relative_absolute_error: 0.4562, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.6238, scimark_benchmark: 1329.8008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.8942, kappa: 0.6833, kb_relative_information_score: 220.3024, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8985, predictive_accuracy: 0.9, prior_entropy: 0.7716, recall: 0.9, relative_absolute_error: 0.4562, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.6238, scimark_benchmark: 1342.8632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.8951, kappa: 0.6928, kb_relative_information_score: 226.0034, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8945, predictive_accuracy: 0.8975, prior_entropy: 0.7716, recall: 0.8975, relative_absolute_error: 0.4289, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2667, root_relative_squared_error: 0.6387, scimark_benchmark: 1322.5413, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.8942, kappa: 0.6833, kb_relative_information_score: 220.3024, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8985, predictive_accuracy: 0.9, prior_entropy: 0.7716, recall: 0.9, relative_absolute_error: 0.4562, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.6238, scimark_benchmark: 1353.0836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.8942, kappa: 0.6833, kb_relative_information_score: 220.3024, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8985, predictive_accuracy: 0.9, prior_entropy: 0.7716, recall: 0.9, relative_absolute_error: 0.4562, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.6238, scimark_benchmark: 1342.8632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.8909, kappa: 0.683, kb_relative_information_score: 173.2153, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8901, predictive_accuracy: 0.8925, prior_entropy: 0.7716, recall: 0.8925, relative_absolute_error: 0.5858, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.6606, scimark_benchmark: 1314.9949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.8819, kappa: 0.6483, kb_relative_information_score: 252.1571, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8836, predictive_accuracy: 0.8875, prior_entropy: 0.7716, recall: 0.8875, relative_absolute_error: 0.3219, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3354, root_relative_squared_error: 0.8032, scimark_benchmark: 1342.8632, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.8942, kappa: 0.6833, kb_relative_information_score: 220.3024, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8985, predictive_accuracy: 0.9, prior_entropy: 0.7716, recall: 0.9, relative_absolute_error: 0.4562, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.6238, scimark_benchmark: 1325.7874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.8909, kappa: 0.683, kb_relative_information_score: 173.2153, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8901, predictive_accuracy: 0.8925, prior_entropy: 0.7716, recall: 0.8925, relative_absolute_error: 0.5858, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.6606, scimark_benchmark: 1286.2211, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.8942, kappa: 0.6833, kb_relative_information_score: 220.3024, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8985, predictive_accuracy: 0.9, prior_entropy: 0.7716, recall: 0.9, relative_absolute_error: 0.4562, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.6238, scimark_benchmark: 1324.8408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8931, kappa: 0.6954, kb_relative_information_score: 234.8713, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8939, predictive_accuracy: 0.8925, prior_entropy: 0.7716, recall: 0.8925, relative_absolute_error: 0.3947, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2875, root_relative_squared_error: 0.6885, scimark_benchmark: 901.8743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.8942, kappa: 0.6833, kb_relative_information_score: 220.3024, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8985, predictive_accuracy: 0.9, prior_entropy: 0.7716, recall: 0.9, relative_absolute_error: 0.4562, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.6238, scimark_benchmark: 1349.1517, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.8948, kappa: 0.686, kb_relative_information_score: 204.2521, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8979, predictive_accuracy: 0.9, prior_entropy: 0.7716, recall: 0.9, relative_absolute_error: 0.4972, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2754, root_relative_squared_error: 0.6596, scimark_benchmark: 1350.2591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.9143, kappa: 0.7524, kb_relative_information_score: 256.4076, mean_absolute_error: 0.1211, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9139, predictive_accuracy: 0.915, prior_entropy: 0.7716, recall: 0.915, relative_absolute_error: 0.3465, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2504, root_relative_squared_error: 0.5996, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, f_measure: 0.9217, kappa: 0.7733, kb_relative_information_score: 297.7614, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9213, predictive_accuracy: 0.9225, prior_entropy: 0.7716, recall: 0.9225, relative_absolute_error: 0.2217, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2784, root_relative_squared_error: 0.6667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.8912, kappa: 0.674, kb_relative_information_score: 199.6982, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.896, predictive_accuracy: 0.8975, prior_entropy: 0.7716, recall: 0.8975, relative_absolute_error: 0.512, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2764, root_relative_squared_error: 0.6619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.8886, kappa: 0.6837, kb_relative_information_score: 228.3564, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.89, predictive_accuracy: 0.8875, prior_entropy: 0.7716, recall: 0.8875, relative_absolute_error: 0.409, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2961, root_relative_squared_error: 0.7091, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.8912, kappa: 0.674, kb_relative_information_score: 199.5579, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.896, predictive_accuracy: 0.8975, prior_entropy: 0.7716, recall: 0.8975, relative_absolute_error: 0.5123, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2763, root_relative_squared_error: 0.6617, scimark_benchmark: 1887.4343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8931, kappa: 0.6954, kb_relative_information_score: 234.8713, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8939, predictive_accuracy: 0.8925, prior_entropy: 0.7716, recall: 0.8925, relative_absolute_error: 0.3947, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2875, root_relative_squared_error: 0.6885,
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: 0.919, f_measure: 0.9086, kappa: 0.7288, kb_relative_information_score: 248.2133, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.911, predictive_accuracy: 0.9125, prior_entropy: 0.7716, recall: 0.9125, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2699, root_relative_squared_error: 0.6463, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.9108, kappa: 0.7399, kb_relative_information_score: 236.3419, mean_absolute_error: 0.1412, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9104, predictive_accuracy: 0.9125, prior_entropy: 0.7716, recall: 0.9125, relative_absolute_error: 0.404, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2529, root_relative_squared_error: 0.6057, scimark_benchmark: 1806.5905, usercpu_time_millis: 31.2002, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8931, kappa: 0.6954, kb_relative_information_score: 234.8713, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8939, predictive_accuracy: 0.8925, prior_entropy: 0.7716, recall: 0.8925, relative_absolute_error: 0.3947, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2875, root_relative_squared_error: 0.6885, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.8912, kappa: 0.674, kb_relative_information_score: 199.6982, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.896, predictive_accuracy: 0.8975, prior_entropy: 0.7716, recall: 0.8975, relative_absolute_error: 0.512, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2764, root_relative_squared_error: 0.6619, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.8912, kappa: 0.674, kb_relative_information_score: 199.5579, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.896, predictive_accuracy: 0.8975, prior_entropy: 0.7716, recall: 0.8975, relative_absolute_error: 0.5123, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2763, root_relative_squared_error: 0.6617, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.8722, kappa: 0.633, kb_relative_information_score: 194.5525, mean_absolute_error: 0.1672, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.872, predictive_accuracy: 0.8725, prior_entropy: 0.7716, recall: 0.8725, relative_absolute_error: 0.4784, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.7177,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8504, f_measure: 0.9015, kappa: 0.7148, kb_relative_information_score: 271.7018, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9009, predictive_accuracy: 0.9025, prior_entropy: 0.7716, recall: 0.9025, relative_absolute_error: 0.279, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.7478, usercpu_time_millis: 0.299, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 0.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, f_measure: 0.8962, kappa: 0.7059, kb_relative_information_score: 261.9294, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8979, predictive_accuracy: 0.895, prior_entropy: 0.7716, recall: 0.895, relative_absolute_error: 0.3004, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.324, root_relative_squared_error: 0.776, usercpu_time_millis: 0.533, usercpu_time_millis_testing: 0.126, usercpu_time_millis_training: 0.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.8987, kappa: 0.7003, kb_relative_information_score: 271.7018, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8997, predictive_accuracy: 0.9025, prior_entropy: 0.7716, recall: 0.9025, relative_absolute_error: 0.279, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.7478, usercpu_time_millis: 87.277, usercpu_time_millis_testing: 5.417, usercpu_time_millis_training: 81.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7186, f_measure: 0.7938, kappa: 0.4207, kb_relative_information_score: 125.1163, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.7987, predictive_accuracy: 0.79, prior_entropy: 0.7716, recall: 0.79, relative_absolute_error: 0.6009, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.4583, root_relative_squared_error: 1.0974, usercpu_time_millis: 1.629, usercpu_time_millis_testing: 0.701, usercpu_time_millis_training: 0.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8504, f_measure: 0.9015, kappa: 0.7148, kb_relative_information_score: 271.7018, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9009, predictive_accuracy: 0.9025, prior_entropy: 0.7716, recall: 0.9025, relative_absolute_error: 0.279, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.7478, usercpu_time_millis: 1.973, usercpu_time_millis_testing: 0.415, usercpu_time_millis_training: 1.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.9063, kappa: 0.7222, kb_relative_information_score: 281.4742, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9081, predictive_accuracy: 0.91, prior_entropy: 0.7716, recall: 0.91, relative_absolute_error: 0.2575, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3, root_relative_squared_error: 0.7184, usercpu_time_millis: 2.014, usercpu_time_millis_testing: 0.245, usercpu_time_millis_training: 1.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7767, f_measure: 0.8723, kappa: 0.6166, kb_relative_information_score: 242.3847, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.876, predictive_accuracy: 0.88, prior_entropy: 0.7716, recall: 0.88, relative_absolute_error: 0.3433, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.8296, usercpu_time_millis: 0.381, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 0.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8418, f_measure: 0.9049, kappa: 0.7204, kb_relative_information_score: 278.2167, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.905, predictive_accuracy: 0.9075, prior_entropy: 0.7716, recall: 0.9075, relative_absolute_error: 0.2647, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3041, root_relative_squared_error: 0.7283, usercpu_time_millis: 3.251, usercpu_time_millis_testing: 0.302, usercpu_time_millis_training: 2.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, f_measure: 0.8927, kappa: 0.6866, kb_relative_information_score: 261.9294, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.892, predictive_accuracy: 0.895, prior_entropy: 0.7716, recall: 0.895, relative_absolute_error: 0.3004, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.324, root_relative_squared_error: 0.776, usercpu_time_millis: 3.76, usercpu_time_millis_testing: 0.922, usercpu_time_millis_training: 2.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, f_measure: 0.9223, kappa: 0.7769, kb_relative_information_score: 297.7614, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9222, predictive_accuracy: 0.9225, prior_entropy: 0.7716, recall: 0.9225, relative_absolute_error: 0.2217, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2784, root_relative_squared_error: 0.6667, usercpu_time_millis: 19.038, usercpu_time_millis_testing: 4.809, usercpu_time_millis_training: 14.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.9247, kappa: 0.7832, kb_relative_information_score: 301.0189, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9245, predictive_accuracy: 0.925, prior_entropy: 0.7716, recall: 0.925, relative_absolute_error: 0.2146, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2739, root_relative_squared_error: 0.6558, usercpu_time_millis: 383.164, usercpu_time_millis_testing: 8.34, usercpu_time_millis_training: 374.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.9061, kappa: 0.7272, kb_relative_information_score: 278.2167, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9056, predictive_accuracy: 0.9075, prior_entropy: 0.7716, recall: 0.9075, relative_absolute_error: 0.2647, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3041, root_relative_squared_error: 0.7283, usercpu_time_millis: 0.81, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 0.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.91, kappa: 0.7419, kb_relative_information_score: 281.4742, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.91, predictive_accuracy: 0.91, prior_entropy: 0.7716, recall: 0.91, relative_absolute_error: 0.2575, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3, root_relative_squared_error: 0.7184, usercpu_time_millis: 20.211, usercpu_time_millis_testing: 0.162, usercpu_time_millis_training: 20.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.9061, kappa: 0.7272, kb_relative_information_score: 278.2167, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9056, predictive_accuracy: 0.9075, prior_entropy: 0.7716, recall: 0.9075, relative_absolute_error: 0.2647, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3041, root_relative_squared_error: 0.7283, usercpu_time_millis: 16.998, usercpu_time_millis_testing: 3.5, usercpu_time_millis_training: 13.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, f_measure: 0.9073, kappa: 0.7337, kb_relative_information_score: 278.2167, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9071, predictive_accuracy: 0.9075, prior_entropy: 0.7716, recall: 0.9075, relative_absolute_error: 0.2647, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3041, root_relative_squared_error: 0.7283, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.8579, kappa: 0.5622, kb_relative_information_score: 157.8507, mean_absolute_error: 0.2181, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8853, predictive_accuracy: 0.875, prior_entropy: 0.7716, recall: 0.875, relative_absolute_error: 0.6239, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2942, root_relative_squared_error: 0.7045, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.8785, kappa: 0.6476, kb_relative_information_score: 216.8207, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8775, predictive_accuracy: 0.88, prior_entropy: 0.7716, recall: 0.88, relative_absolute_error: 0.4235, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.7359, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, f_measure: 0.8969, kappa: 0.6965, kb_relative_information_score: 262.9256, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8969, predictive_accuracy: 0.9, prior_entropy: 0.7716, recall: 0.9, relative_absolute_error: 0.3097, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.278, root_relative_squared_error: 0.6657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.8635, kappa: 0.5797, kb_relative_information_score: 162.8979, mean_absolute_error: 0.2118, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8926, predictive_accuracy: 0.88, prior_entropy: 0.7716, recall: 0.88, relative_absolute_error: 0.606, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.7132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.8866, kappa: 0.6662, kb_relative_information_score: 243.9189, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8862, predictive_accuracy: 0.89, prior_entropy: 0.7716, recall: 0.89, relative_absolute_error: 0.3497, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.29, root_relative_squared_error: 0.6945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.8669, kappa: 0.5904, kb_relative_information_score: 163.2169, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8946, predictive_accuracy: 0.8825, prior_entropy: 0.7716, recall: 0.8825, relative_absolute_error: 0.6108, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.6963, scimark_benchmark: 1873.1108,

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

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From your own software

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

OpenML APIs