Task
Supervised Classification on cleveland

Supervised Classification on cleveland

Task 4356 Supervised Classification cleveland 226 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7836, f_measure: 0.7749, kappa: 0.546, kb_relative_information_score: 1364.2578, mean_absolute_error: 0.2854, mean_prior_absolute_error: 0.4966, number_of_instances: 3030, precision: 0.7754, predictive_accuracy: 0.7756, prior_entropy: 0.9951, recall: 0.7756, relative_absolute_error: 0.5746, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.4334, root_relative_squared_error: 0.8697, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.8101, kappa: 0.6175, kb_relative_information_score: 1385.9033, mean_absolute_error: 0.2851, mean_prior_absolute_error: 0.4966, number_of_instances: 3030, precision: 0.8101, predictive_accuracy: 0.8102, prior_entropy: 0.9951, recall: 0.8102, relative_absolute_error: 0.5741, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.7401, scimark_benchmark: 972.587, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.7838, kappa: 0.5647, kb_relative_information_score: 1522.9833, mean_absolute_error: 0.2545, mean_prior_absolute_error: 0.4966, number_of_instances: 3030, precision: 0.7838, predictive_accuracy: 0.7838, prior_entropy: 0.9951, recall: 0.7838, relative_absolute_error: 0.5125, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.393, root_relative_squared_error: 0.7886, scimark_benchmark: 934.3687, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5243, f_measure: 0.4418, kappa: 0.0521, kb_relative_information_score: 347.8767, mean_absolute_error: 0.4383, mean_prior_absolute_error: 0.4966, number_of_instances: 3030, precision: 0.6353, predictive_accuracy: 0.5617, prior_entropy: 0.9951, recall: 0.5617, relative_absolute_error: 0.8825, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.662, root_relative_squared_error: 1.3286, scimark_benchmark: 944.1067, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5243, f_measure: 0.4418, kappa: 0.0521, kb_relative_information_score: 347.8767, mean_absolute_error: 0.4383, mean_prior_absolute_error: 0.4966, number_of_instances: 3030, precision: 0.6353, predictive_accuracy: 0.5617, prior_entropy: 0.9951, recall: 0.5617, relative_absolute_error: 0.8825, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.662, root_relative_squared_error: 1.3286, scimark_benchmark: 916.0735, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.8274, kappa: 0.6521, kb_relative_information_score: 1846.8163, mean_absolute_error: 0.199, mean_prior_absolute_error: 0.4966, number_of_instances: 3030, precision: 0.8276, predictive_accuracy: 0.8277, prior_entropy: 0.9951, recall: 0.8277, relative_absolute_error: 0.4007, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3547, root_relative_squared_error: 0.7119, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, f_measure: 0.8016, kappa: 0.5998, kb_relative_information_score: 1373.4098, mean_absolute_error: 0.2868, mean_prior_absolute_error: 0.4966, number_of_instances: 3030, precision: 0.8034, predictive_accuracy: 0.8026, prior_entropy: 0.9951, recall: 0.8026, relative_absolute_error: 0.5776, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3735, root_relative_squared_error: 0.7496, scimark_benchmark: 938.191, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8963, f_measure: 0.8226, kappa: 0.6424, kb_relative_information_score: 1670.0319, mean_absolute_error: 0.2327, mean_prior_absolute_error: 0.4966, number_of_instances: 3030, precision: 0.8226, predictive_accuracy: 0.8228, prior_entropy: 0.9951, recall: 0.8228, relative_absolute_error: 0.4686, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.723, scimark_benchmark: 904.0772, usercpu_time_millis: 2970, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8001, kappa: 0.5972, kb_relative_information_score: 1686.6023, mean_absolute_error: 0.225, mean_prior_absolute_error: 0.4966, number_of_instances: 3030, precision: 0.8001, predictive_accuracy: 0.8003, prior_entropy: 0.9951, recall: 0.8003, relative_absolute_error: 0.453, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3898, root_relative_squared_error: 0.7823, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5243, f_measure: 0.4418, kappa: 0.0521, kb_relative_information_score: 347.8767, mean_absolute_error: 0.4383, mean_prior_absolute_error: 0.4966, number_of_instances: 3030, precision: 0.6353, predictive_accuracy: 0.5617, prior_entropy: 0.9951, recall: 0.5617, relative_absolute_error: 0.8825, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.662, root_relative_squared_error: 1.3286, scimark_benchmark: 941.3847, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5243, f_measure: 0.4418, kappa: 0.0521, kb_relative_information_score: 347.8767, mean_absolute_error: 0.4383, mean_prior_absolute_error: 0.4966, number_of_instances: 3030, precision: 0.6353, predictive_accuracy: 0.5617, prior_entropy: 0.9951, recall: 0.5617, relative_absolute_error: 0.8825, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.662, root_relative_squared_error: 1.3286, scimark_benchmark: 941.3847, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.8082, kappa: 0.6132, kb_relative_information_score: 1454.8245, mean_absolute_error: 0.2724, mean_prior_absolute_error: 0.4966, number_of_instances: 3030, precision: 0.8085, predictive_accuracy: 0.8086, prior_entropy: 0.9951, recall: 0.8086, relative_absolute_error: 0.5485, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.7246, scimark_benchmark: 947.1781, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7836, f_measure: 0.7749, kappa: 0.546, kb_relative_information_score: 1364.2578, mean_absolute_error: 0.2854, mean_prior_absolute_error: 0.4966, number_of_instances: 3030, precision: 0.7754, predictive_accuracy: 0.7756, prior_entropy: 0.9951, recall: 0.7756, relative_absolute_error: 0.5746, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.4334, root_relative_squared_error: 0.8697, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.8101, kappa: 0.6175, kb_relative_information_score: 1385.9033, mean_absolute_error: 0.2851, mean_prior_absolute_error: 0.4966, number_of_instances: 3030, precision: 0.8101, predictive_accuracy: 0.8102, prior_entropy: 0.9951, recall: 0.8102, relative_absolute_error: 0.5741, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.7401, scimark_benchmark: 908.9569, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.7838, kappa: 0.5647, kb_relative_information_score: 1522.9833, mean_absolute_error: 0.2545, mean_prior_absolute_error: 0.4966, number_of_instances: 3030, precision: 0.7838, predictive_accuracy: 0.7838, prior_entropy: 0.9951, recall: 0.7838, relative_absolute_error: 0.5125, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.393, root_relative_squared_error: 0.7886, scimark_benchmark: 936.2574, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5243, f_measure: 0.4418, kappa: 0.0521, kb_relative_information_score: 347.8767, mean_absolute_error: 0.4383, mean_prior_absolute_error: 0.4966, number_of_instances: 3030, precision: 0.6353, predictive_accuracy: 0.5617, prior_entropy: 0.9951, recall: 0.5617, relative_absolute_error: 0.8825, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.662, root_relative_squared_error: 1.3286, scimark_benchmark: 927.2882, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5243, f_measure: 0.4418, kappa: 0.0521, kb_relative_information_score: 347.8767, mean_absolute_error: 0.4383, mean_prior_absolute_error: 0.4966, number_of_instances: 3030, precision: 0.6353, predictive_accuracy: 0.5617, prior_entropy: 0.9951, recall: 0.5617, relative_absolute_error: 0.8825, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.662, root_relative_squared_error: 1.3286, scimark_benchmark: 934.5964, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.8274, kappa: 0.6521, kb_relative_information_score: 1846.8163, mean_absolute_error: 0.199, mean_prior_absolute_error: 0.4966, number_of_instances: 3030, precision: 0.8276, predictive_accuracy: 0.8277, prior_entropy: 0.9951, recall: 0.8277, relative_absolute_error: 0.4007, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3547, root_relative_squared_error: 0.7119, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.8274, kappa: 0.6521, kb_relative_information_score: 1846.8163, mean_absolute_error: 0.199, mean_prior_absolute_error: 0.4966, number_of_instances: 3030, precision: 0.8276, predictive_accuracy: 0.8277, prior_entropy: 0.9951, recall: 0.8277, relative_absolute_error: 0.4007, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3547, root_relative_squared_error: 0.7119, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.8274, kappa: 0.6521, kb_relative_information_score: 1846.8163, mean_absolute_error: 0.199, mean_prior_absolute_error: 0.4966, number_of_instances: 3030, precision: 0.8276, predictive_accuracy: 0.8277, prior_entropy: 0.9951, recall: 0.8277, relative_absolute_error: 0.4007, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3547, root_relative_squared_error: 0.7119, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.8274, kappa: 0.6521, kb_relative_information_score: 1846.8163, mean_absolute_error: 0.199, mean_prior_absolute_error: 0.4966, number_of_instances: 3030, precision: 0.8276, predictive_accuracy: 0.8277, prior_entropy: 0.9951, recall: 0.8277, relative_absolute_error: 0.4007, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3547, root_relative_squared_error: 0.7119, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, f_measure: 0.8016, kappa: 0.5998, kb_relative_information_score: 1373.4098, mean_absolute_error: 0.2868, mean_prior_absolute_error: 0.4966, number_of_instances: 3030, precision: 0.8034, predictive_accuracy: 0.8026, prior_entropy: 0.9951, recall: 0.8026, relative_absolute_error: 0.5776, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3735, root_relative_squared_error: 0.7496, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8963, f_measure: 0.8226, kappa: 0.6424, kb_relative_information_score: 1670.0319, mean_absolute_error: 0.2327, mean_prior_absolute_error: 0.4966, number_of_instances: 3030, precision: 0.8226, predictive_accuracy: 0.8228, prior_entropy: 0.9951, recall: 0.8228, relative_absolute_error: 0.4686, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.723, scimark_benchmark: 905.2959, usercpu_time_millis: 4580, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 4550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.8274, kappa: 0.6521, kb_relative_information_score: 1846.8163, mean_absolute_error: 0.199, mean_prior_absolute_error: 0.4966, number_of_instances: 3030, precision: 0.8276, predictive_accuracy: 0.8277, prior_entropy: 0.9951, recall: 0.8277, relative_absolute_error: 0.4007, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3547, root_relative_squared_error: 0.7119, scimark_benchmark: 944.0133, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8001, kappa: 0.5972, kb_relative_information_score: 1686.6023, mean_absolute_error: 0.225, mean_prior_absolute_error: 0.4966, number_of_instances: 3030, precision: 0.8001, predictive_accuracy: 0.8003, prior_entropy: 0.9951, recall: 0.8003, relative_absolute_error: 0.453, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3898, root_relative_squared_error: 0.7823, scimark_benchmark: 730.6551, usercpu_time_millis: 300, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.8082, kappa: 0.6132, kb_relative_information_score: 1454.8245, mean_absolute_error: 0.2724, mean_prior_absolute_error: 0.4966, number_of_instances: 3030, precision: 0.8085, predictive_accuracy: 0.8086, prior_entropy: 0.9951, recall: 0.8086, relative_absolute_error: 0.5485, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.7246, scimark_benchmark: 901.4991, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.8337, kappa: 0.6648, kb_relative_information_score: 1575.1215, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.4966, number_of_instances: 3030, precision: 0.8339, predictive_accuracy: 0.834, prior_entropy: 0.9951, recall: 0.834, relative_absolute_error: 0.5098, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3517, root_relative_squared_error: 0.7058, scimark_benchmark: 934.695, usercpu_time_millis: 2760, usercpu_time_millis_testing: 990, usercpu_time_millis_training: 1770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.8317, kappa: 0.6606, kb_relative_information_score: 1577.2643, mean_absolute_error: 0.2527, mean_prior_absolute_error: 0.4966, number_of_instances: 3030, precision: 0.832, predictive_accuracy: 0.832, prior_entropy: 0.9951, recall: 0.832, relative_absolute_error: 0.5089, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3522, root_relative_squared_error: 0.7069, scimark_benchmark: 937.5683, usercpu_time_millis: 1140, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, f_measure: 0.8268, kappa: 0.6508, kb_relative_information_score: 1564.0523, mean_absolute_error: 0.2543, mean_prior_absolute_error: 0.4966, number_of_instances: 3030, precision: 0.827, predictive_accuracy: 0.8271, prior_entropy: 0.9951, recall: 0.8271, relative_absolute_error: 0.5121, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3553, root_relative_squared_error: 0.713, scimark_benchmark: 862.7006, usercpu_time_millis: 590, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.8276, kappa: 0.6522, kb_relative_information_score: 1570.4666, mean_absolute_error: 0.2529, mean_prior_absolute_error: 0.4966, number_of_instances: 3030, precision: 0.8282, predictive_accuracy: 0.8281, prior_entropy: 0.9951, recall: 0.8281, relative_absolute_error: 0.5092, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3565, root_relative_squared_error: 0.7154, scimark_benchmark: 938.8535, usercpu_time_millis: 290, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.8175, kappa: 0.6322, kb_relative_information_score: 1566.6683, mean_absolute_error: 0.2524, mean_prior_absolute_error: 0.4966, number_of_instances: 3030, precision: 0.8177, predictive_accuracy: 0.8178, prior_entropy: 0.9951, recall: 0.8178, relative_absolute_error: 0.5082, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.7278, scimark_benchmark: 939.7883, usercpu_time_millis: 140, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8814, f_measure: 0.8116, kappa: 0.6203, kb_relative_information_score: 1671.324, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.4966, number_of_instances: 3030, precision: 0.8117, predictive_accuracy: 0.8119, prior_entropy: 0.9951, recall: 0.8119, relative_absolute_error: 0.4634, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7543, scimark_benchmark: 889.4922, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8814, f_measure: 0.8116, kappa: 0.6203, kb_relative_information_score: 1671.324, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.4966, number_of_instances: 3030, precision: 0.8117, predictive_accuracy: 0.8119, prior_entropy: 0.9951, recall: 0.8119, relative_absolute_error: 0.4634, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7543, scimark_benchmark: 930.0565, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8814, f_measure: 0.8116, kappa: 0.6203, kb_relative_information_score: 1671.324, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.4966, number_of_instances: 3030, precision: 0.8117, predictive_accuracy: 0.8119, prior_entropy: 0.9951, recall: 0.8119, relative_absolute_error: 0.4634, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7543, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8814, f_measure: 0.8116, kappa: 0.6203, kb_relative_information_score: 1671.324, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.4966, number_of_instances: 3030, precision: 0.8117, predictive_accuracy: 0.8119, prior_entropy: 0.9951, recall: 0.8119, relative_absolute_error: 0.4634, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7543, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.882, f_measure: 0.8133, kappa: 0.6236, kb_relative_information_score: 1673.2754, mean_absolute_error: 0.2299, mean_prior_absolute_error: 0.4966, number_of_instances: 3030, precision: 0.8133, predictive_accuracy: 0.8135, prior_entropy: 0.9951, recall: 0.8135, relative_absolute_error: 0.463, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3752, root_relative_squared_error: 0.753, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8983, f_measure: 0.8282, kappa: 0.6536, kb_relative_information_score: 1951.9599, mean_absolute_error: 0.1773, mean_prior_absolute_error: 0.4966, number_of_instances: 3030, precision: 0.8289, predictive_accuracy: 0.8287, prior_entropy: 0.9951, recall: 0.8287, relative_absolute_error: 0.357, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3909, root_relative_squared_error: 0.7845, scimark_benchmark: 926.5859, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8963, f_measure: 0.8226, kappa: 0.6424, kb_relative_information_score: 1670.0319, mean_absolute_error: 0.2327, mean_prior_absolute_error: 0.4966, number_of_instances: 3030, precision: 0.8226, predictive_accuracy: 0.8228, prior_entropy: 0.9951, recall: 0.8228, relative_absolute_error: 0.4686, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.723, scimark_benchmark: 1309.2287, usercpu_time_millis: 2230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2220,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.7838, kappa: 0.5647, kb_relative_information_score: 1522.9833, mean_absolute_error: 0.2545, mean_prior_absolute_error: 0.4966, number_of_instances: 3030, precision: 0.7838, predictive_accuracy: 0.7838, prior_entropy: 0.9951, recall: 0.7838, relative_absolute_error: 0.5125, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.393, root_relative_squared_error: 0.7886, scimark_benchmark: 1358.6198, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5243, f_measure: 0.4418, kappa: 0.0521, kb_relative_information_score: 347.8767, mean_absolute_error: 0.4383, mean_prior_absolute_error: 0.4966, number_of_instances: 3030, precision: 0.6353, predictive_accuracy: 0.5617, prior_entropy: 0.9951, recall: 0.5617, relative_absolute_error: 0.8825, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.662, root_relative_squared_error: 1.3286, scimark_benchmark: 1337.1928, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8001, kappa: 0.5972, kb_relative_information_score: 1686.6023, mean_absolute_error: 0.225, mean_prior_absolute_error: 0.4966, number_of_instances: 3030, precision: 0.8001, predictive_accuracy: 0.8003, prior_entropy: 0.9951, recall: 0.8003, relative_absolute_error: 0.453, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3898, root_relative_squared_error: 0.7823, scimark_benchmark: 1320.8283, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.8082, kappa: 0.6132, kb_relative_information_score: 1454.8245, mean_absolute_error: 0.2724, mean_prior_absolute_error: 0.4966, number_of_instances: 3030, precision: 0.8085, predictive_accuracy: 0.8086, prior_entropy: 0.9951, recall: 0.8086, relative_absolute_error: 0.5485, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.7246, scimark_benchmark: 1310.6554, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.8101, kappa: 0.6175, kb_relative_information_score: 1385.9033, mean_absolute_error: 0.2851, mean_prior_absolute_error: 0.4966, number_of_instances: 3030, precision: 0.8101, predictive_accuracy: 0.8102, prior_entropy: 0.9951, recall: 0.8102, relative_absolute_error: 0.5741, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.7401, scimark_benchmark: 1319.5773, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,

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