OpenML
Supervised Classification on cloud

Supervised Classification on cloud

Task 3753 Supervised Classification cloud 854 runs submitted
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  • study_1 study_107 study_123 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8516, f_measure: 0.7513, kappa: 0.3769, kb_relative_information_score: 28.4794, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.7729, predictive_accuracy: 0.7778, prior_entropy: 0.8813, recall: 0.7778, relative_absolute_error: 0.7411, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.8411, scimark_benchmark: 1327.5842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, f_measure: 0.845, kappa: 0.617, kb_relative_information_score: 56.4618, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.8501, predictive_accuracy: 0.8519, prior_entropy: 0.8813, recall: 0.8519, relative_absolute_error: 0.4772, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3426, root_relative_squared_error: 0.7502, scimark_benchmark: 1335.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, f_measure: 0.845, kappa: 0.617, kb_relative_information_score: 56.4618, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.8501, predictive_accuracy: 0.8519, prior_entropy: 0.8813, recall: 0.8519, relative_absolute_error: 0.4772, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3426, root_relative_squared_error: 0.7502, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4453, f_measure: 0.577, kappa: -0.0452, kb_relative_information_score: -7.1612, mean_absolute_error: 0.4273, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.5392, predictive_accuracy: 0.6667, prior_entropy: 0.8813, recall: 0.6667, relative_absolute_error: 1.021, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.481, root_relative_squared_error: 1.0533, scimark_benchmark: 1322.5413, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, f_measure: 0.845, kappa: 0.617, kb_relative_information_score: 51.2705, mean_absolute_error: 0.227, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.8501, predictive_accuracy: 0.8519, prior_entropy: 0.8813, recall: 0.8519, relative_absolute_error: 0.5423, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3391, root_relative_squared_error: 0.7425, scimark_benchmark: 1318.6467, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, f_measure: 0.9082, kappa: 0.7819, kb_relative_information_score: 51.0358, mean_absolute_error: 0.2434, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.9097, predictive_accuracy: 0.9074, prior_entropy: 0.8813, recall: 0.9074, relative_absolute_error: 0.5815, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3179, root_relative_squared_error: 0.6961, scimark_benchmark: 1314.9949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.8731, kappa: 0.6858, kb_relative_information_score: 74.2325, mean_absolute_error: 0.1204, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.8832, predictive_accuracy: 0.8796, prior_entropy: 0.8813, recall: 0.8796, relative_absolute_error: 0.2876, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3469, root_relative_squared_error: 0.7598, scimark_benchmark: 1346.2927, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8826, f_measure: 0.845, kappa: 0.617, kb_relative_information_score: 54.3407, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.8501, predictive_accuracy: 0.8519, prior_entropy: 0.8813, recall: 0.8519, relative_absolute_error: 0.5047, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3393, root_relative_squared_error: 0.743, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8516, f_measure: 0.7513, kappa: 0.3769, kb_relative_information_score: 28.4794, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.7729, predictive_accuracy: 0.7778, prior_entropy: 0.8813, recall: 0.7778, relative_absolute_error: 0.7411, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.8411, scimark_benchmark: 1309.4998, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4453, f_measure: 0.577, kappa: -0.0452, kb_relative_information_score: -7.1612, mean_absolute_error: 0.4273, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.5392, predictive_accuracy: 0.6667, prior_entropy: 0.8813, recall: 0.6667, relative_absolute_error: 1.021, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.481, root_relative_squared_error: 1.0533, scimark_benchmark: 1340.9446, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, f_measure: 0.845, kappa: 0.617, kb_relative_information_score: 56.4618, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.8501, predictive_accuracy: 0.8519, prior_entropy: 0.8813, recall: 0.8519, relative_absolute_error: 0.4772, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3426, root_relative_squared_error: 0.7502, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.721, f_measure: 0.695, kappa: 0.2373, kb_relative_information_score: 14.3465, mean_absolute_error: 0.3563, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.6963, predictive_accuracy: 0.7222, prior_entropy: 0.8813, recall: 0.7222, relative_absolute_error: 0.8513, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.9222, scimark_benchmark: 1353.0836, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, f_measure: 0.845, kappa: 0.617, kb_relative_information_score: 51.2705, mean_absolute_error: 0.227, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.8501, predictive_accuracy: 0.8519, prior_entropy: 0.8813, recall: 0.8519, relative_absolute_error: 0.5423, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3391, root_relative_squared_error: 0.7425, scimark_benchmark: 1336.0954, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8826, f_measure: 0.845, kappa: 0.617, kb_relative_information_score: 54.3407, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.8501, predictive_accuracy: 0.8519, prior_entropy: 0.8813, recall: 0.8519, relative_absolute_error: 0.5047, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3393, root_relative_squared_error: 0.743, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, f_measure: 0.845, kappa: 0.617, kb_relative_information_score: 56.4618, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.8501, predictive_accuracy: 0.8519, prior_entropy: 0.8813, recall: 0.8519, relative_absolute_error: 0.4772, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3426, root_relative_squared_error: 0.7502, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, f_measure: 0.845, kappa: 0.617, kb_relative_information_score: 56.4618, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.8501, predictive_accuracy: 0.8519, prior_entropy: 0.8813, recall: 0.8519, relative_absolute_error: 0.4772, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3426, root_relative_squared_error: 0.7502, scimark_benchmark: 1303.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, f_measure: 0.845, kappa: 0.617, kb_relative_information_score: 56.4618, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.8501, predictive_accuracy: 0.8519, prior_entropy: 0.8813, recall: 0.8519, relative_absolute_error: 0.4772, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3426, root_relative_squared_error: 0.7502, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, f_measure: 0.845, kappa: 0.617, kb_relative_information_score: 56.4618, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.8501, predictive_accuracy: 0.8519, prior_entropy: 0.8813, recall: 0.8519, relative_absolute_error: 0.4772, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3426, root_relative_squared_error: 0.7502, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8826, f_measure: 0.845, kappa: 0.617, kb_relative_information_score: 54.3407, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.8501, predictive_accuracy: 0.8519, prior_entropy: 0.8813, recall: 0.8519, relative_absolute_error: 0.5047, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3393, root_relative_squared_error: 0.743, scimark_benchmark: 908.2231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, f_measure: 0.845, kappa: 0.617, kb_relative_information_score: 56.4618, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.8501, predictive_accuracy: 0.8519, prior_entropy: 0.8813, recall: 0.8519, relative_absolute_error: 0.4772, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3426, root_relative_squared_error: 0.7502, scimark_benchmark: 1286.2211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, f_measure: 0.845, kappa: 0.617, kb_relative_information_score: 56.4618, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.8501, predictive_accuracy: 0.8519, prior_entropy: 0.8813, recall: 0.8519, relative_absolute_error: 0.4772, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3426, root_relative_squared_error: 0.7502, scimark_benchmark: 908.2231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, f_measure: 0.845, kappa: 0.617, kb_relative_information_score: 56.4618, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.8501, predictive_accuracy: 0.8519, prior_entropy: 0.8813, recall: 0.8519, relative_absolute_error: 0.4772, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3426, root_relative_squared_error: 0.7502, scimark_benchmark: 1347.6543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4453, f_measure: 0.577, kappa: -0.0452, kb_relative_information_score: -7.1612, mean_absolute_error: 0.4273, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.5392, predictive_accuracy: 0.6667, prior_entropy: 0.8813, recall: 0.6667, relative_absolute_error: 1.021, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.481, root_relative_squared_error: 1.0533, scimark_benchmark: 1286.2211, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8826, f_measure: 0.845, kappa: 0.617, kb_relative_information_score: 54.3407, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.8501, predictive_accuracy: 0.8519, prior_entropy: 0.8813, recall: 0.8519, relative_absolute_error: 0.5047, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3393, root_relative_squared_error: 0.743, scimark_benchmark: 1340.9749,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8516, f_measure: 0.7513, kappa: 0.3769, kb_relative_information_score: 28.4794, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.7729, predictive_accuracy: 0.7778, prior_entropy: 0.8813, recall: 0.7778, relative_absolute_error: 0.7411, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.8411, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, f_measure: 0.9082, kappa: 0.7819, kb_relative_information_score: 51.0358, mean_absolute_error: 0.2434, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.9097, predictive_accuracy: 0.9074, prior_entropy: 0.8813, recall: 0.9074, relative_absolute_error: 0.5815, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3179, root_relative_squared_error: 0.6961, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8826, f_measure: 0.845, kappa: 0.617, kb_relative_information_score: 54.3407, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.8501, predictive_accuracy: 0.8519, prior_entropy: 0.8813, recall: 0.8519, relative_absolute_error: 0.5047, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3393, root_relative_squared_error: 0.743, scimark_benchmark: 1335.6555,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8516, f_measure: 0.7513, kappa: 0.3769, kb_relative_information_score: 28.4794, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.7729, predictive_accuracy: 0.7778, prior_entropy: 0.8813, recall: 0.7778, relative_absolute_error: 0.7411, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.8411, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.721, f_measure: 0.695, kappa: 0.2373, kb_relative_information_score: 14.3465, mean_absolute_error: 0.3563, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.6963, predictive_accuracy: 0.7222, prior_entropy: 0.8813, recall: 0.7222, relative_absolute_error: 0.8513, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.9222, scimark_benchmark: 1374.9737, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.8731, kappa: 0.6858, kb_relative_information_score: 74.2325, mean_absolute_error: 0.1204, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.8832, predictive_accuracy: 0.8796, prior_entropy: 0.8813, recall: 0.8796, relative_absolute_error: 0.2876, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3469, root_relative_squared_error: 0.7598, scimark_benchmark: 1316.5668, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, f_measure: 0.845, kappa: 0.617, kb_relative_information_score: 56.4618, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.8501, predictive_accuracy: 0.8519, prior_entropy: 0.8813, recall: 0.8519, relative_absolute_error: 0.4772, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3426, root_relative_squared_error: 0.7502, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8516, f_measure: 0.7513, kappa: 0.3769, kb_relative_information_score: 28.4794, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.7729, predictive_accuracy: 0.7778, prior_entropy: 0.8813, recall: 0.7778, relative_absolute_error: 0.7411, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.8411, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.721, f_measure: 0.695, kappa: 0.2373, kb_relative_information_score: 14.3465, mean_absolute_error: 0.3563, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.6963, predictive_accuracy: 0.7222, prior_entropy: 0.8813, recall: 0.7222, relative_absolute_error: 0.8513, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.9222, scimark_benchmark: 1311.9814, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, f_measure: 0.845, kappa: 0.617, kb_relative_information_score: 56.4618, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.8501, predictive_accuracy: 0.8519, prior_entropy: 0.8813, recall: 0.8519, relative_absolute_error: 0.4772, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3426, root_relative_squared_error: 0.7502, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.845, kappa: 0.617, kb_relative_information_score: 58.2199, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.8501, predictive_accuracy: 0.8519, prior_entropy: 0.8813, recall: 0.8519, relative_absolute_error: 0.4555, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.341, root_relative_squared_error: 0.7468, scimark_benchmark: 1334.6745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.845, kappa: 0.617, kb_relative_information_score: 58.2199, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.8501, predictive_accuracy: 0.8519, prior_entropy: 0.8813, recall: 0.8519, relative_absolute_error: 0.4555, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.341, root_relative_squared_error: 0.7468, scimark_benchmark: 1355.2525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, f_measure: 0.9082, kappa: 0.7819, kb_relative_information_score: 51.0358, mean_absolute_error: 0.2434, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.9097, predictive_accuracy: 0.9074, prior_entropy: 0.8813, recall: 0.9074, relative_absolute_error: 0.5815, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3179, root_relative_squared_error: 0.6961, scimark_benchmark: 1345.3152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.845, kappa: 0.617, kb_relative_information_score: 58.2199, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.8501, predictive_accuracy: 0.8519, prior_entropy: 0.8813, recall: 0.8519, relative_absolute_error: 0.4555, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.341, root_relative_squared_error: 0.7468, scimark_benchmark: 1350.2369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8411, f_measure: 0.8691, kappa: 0.6834, kb_relative_information_score: 60.124, mean_absolute_error: 0.1908, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.8686, predictive_accuracy: 0.8704, prior_entropy: 0.8813, recall: 0.8704, relative_absolute_error: 0.4559, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.7428, scimark_benchmark: 1320.9026, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4264, f_measure: 0.5275, kappa: -0.1519, kb_relative_information_score: -22.1877, mean_absolute_error: 0.4672, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.5191, predictive_accuracy: 0.537, prior_entropy: 0.8813, recall: 0.537, relative_absolute_error: 1.1163, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.607, root_relative_squared_error: 1.3293, scimark_benchmark: 1301.2156, usercpu_time_millis: 130, usercpu_time_millis_testing: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, f_measure: 0.9082, kappa: 0.7819, kb_relative_information_score: 51.0358, mean_absolute_error: 0.2434, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.9097, predictive_accuracy: 0.9074, prior_entropy: 0.8813, recall: 0.9074, relative_absolute_error: 0.5815, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3179, root_relative_squared_error: 0.6961, scimark_benchmark: 1342.4239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.477, f_measure: 0.5872, kappa: -0.011, kb_relative_information_score: 6.984, mean_absolute_error: 0.3723, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.568, predictive_accuracy: 0.6852, prior_entropy: 0.8813, recall: 0.6852, relative_absolute_error: 0.8895, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.5079, root_relative_squared_error: 1.1123, scimark_benchmark: 854.5188, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, f_measure: 0.9082, kappa: 0.7819, kb_relative_information_score: 51.0358, mean_absolute_error: 0.2434, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.9097, predictive_accuracy: 0.9074, prior_entropy: 0.8813, recall: 0.9074, relative_absolute_error: 0.5815, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3179, root_relative_squared_error: 0.6961, scimark_benchmark: 1350.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8411, f_measure: 0.8691, kappa: 0.6834, kb_relative_information_score: 60.124, mean_absolute_error: 0.1908, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.8686, predictive_accuracy: 0.8704, prior_entropy: 0.8813, recall: 0.8704, relative_absolute_error: 0.4559, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.7428, scimark_benchmark: 885.0921, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.845, kappa: 0.617, kb_relative_information_score: 58.2199, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.8501, predictive_accuracy: 0.8519, prior_entropy: 0.8813, recall: 0.8519, relative_absolute_error: 0.4555, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.341, root_relative_squared_error: 0.7468, scimark_benchmark: 1371.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, f_measure: 0.9082, kappa: 0.7819, kb_relative_information_score: 51.0358, mean_absolute_error: 0.2434, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.9097, predictive_accuracy: 0.9074, prior_entropy: 0.8813, recall: 0.9074, relative_absolute_error: 0.5815, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3179, root_relative_squared_error: 0.6961, scimark_benchmark: 1334.2049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.8384, kappa: 0.6047, kb_relative_information_score: 57.891, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.8386, predictive_accuracy: 0.8426, prior_entropy: 0.8813, recall: 0.8426, relative_absolute_error: 0.4509, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3769, root_relative_squared_error: 0.8254, scimark_benchmark: 1320.9387, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8859, f_measure: 0.917, kappa: 0.802, kb_relative_information_score: 83.4544, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.9176, predictive_accuracy: 0.9167, prior_entropy: 0.8813, recall: 0.9167, relative_absolute_error: 0.2118, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.2891, root_relative_squared_error: 0.6331, scimark_benchmark: 1322.4968, 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