OpenML
Supervised Classification on confidence

Supervised Classification on confidence

Task 3559 Supervised Classification confidence 374 runs submitted
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  • study_1 study_107 study_123 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.7812, kappa: 0.75, kb_relative_information_score: 55.6135, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7906, predictive_accuracy: 0.7917, prior_entropy: 2.585, recall: 0.7917, relative_absolute_error: 0.2973, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.225, root_relative_squared_error: 0.6038, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.7775, kappa: 0.75, kb_relative_information_score: 55.1241, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7829, predictive_accuracy: 0.7917, prior_entropy: 2.585, recall: 0.7917, relative_absolute_error: 0.3006, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.23, root_relative_squared_error: 0.6171, scimark_benchmark: 1303.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.7775, kappa: 0.75, kb_relative_information_score: 55.1241, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7829, predictive_accuracy: 0.7917, prior_entropy: 2.585, recall: 0.7917, relative_absolute_error: 0.3006, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.23, root_relative_squared_error: 0.6171, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.7775, kappa: 0.75, kb_relative_information_score: 55.1241, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7829, predictive_accuracy: 0.7917, prior_entropy: 2.585, recall: 0.7917, relative_absolute_error: 0.3006, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.23, root_relative_squared_error: 0.6171, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.7775, kappa: 0.75, kb_relative_information_score: 55.1241, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7829, predictive_accuracy: 0.7917, prior_entropy: 2.585, recall: 0.7917, relative_absolute_error: 0.3006, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.23, root_relative_squared_error: 0.6171, scimark_benchmark: 1322.5413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.7775, kappa: 0.75, kb_relative_information_score: 55.1241, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7829, predictive_accuracy: 0.7917, prior_entropy: 2.585, recall: 0.7917, relative_absolute_error: 0.3006, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.23, root_relative_squared_error: 0.6171, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.7775, kappa: 0.75, kb_relative_information_score: 55.1241, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7829, predictive_accuracy: 0.7917, prior_entropy: 2.585, recall: 0.7917, relative_absolute_error: 0.3006, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.23, root_relative_squared_error: 0.6171, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.7483, kappa: 0.7167, kb_relative_information_score: 50.2136, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7654, predictive_accuracy: 0.7639, prior_entropy: 2.585, recall: 0.7639, relative_absolute_error: 0.4044, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.241, root_relative_squared_error: 0.6466, scimark_benchmark: 1331.7953, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.8362, kappa: 0.8, kb_relative_information_score: 56.5954, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.8425, predictive_accuracy: 0.8333, prior_entropy: 2.585, recall: 0.8333, relative_absolute_error: 0.2915, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.5601, scimark_benchmark: 1331.7953, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5667, f_measure: 0.3121, kappa: 0.1333, kb_relative_information_score: 14.7087, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.6832, predictive_accuracy: 0.2778, prior_entropy: 2.585, recall: 0.2778, relative_absolute_error: 0.8667, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4907, root_relative_squared_error: 1.3166, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.7812, kappa: 0.75, kb_relative_information_score: 55.6135, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7906, predictive_accuracy: 0.7917, prior_entropy: 2.585, recall: 0.7917, relative_absolute_error: 0.2973, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.225, root_relative_squared_error: 0.6038, scimark_benchmark: 930.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.7775, kappa: 0.75, kb_relative_information_score: 55.1241, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7829, predictive_accuracy: 0.7917, prior_entropy: 2.585, recall: 0.7917, relative_absolute_error: 0.3006, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.23, root_relative_squared_error: 0.6171, scimark_benchmark: 1333.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.7775, kappa: 0.75, kb_relative_information_score: 55.1241, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7829, predictive_accuracy: 0.7917, prior_entropy: 2.585, recall: 0.7917, relative_absolute_error: 0.3006, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.23, root_relative_squared_error: 0.6171, scimark_benchmark: 1324.8408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.7775, kappa: 0.75, kb_relative_information_score: 55.1241, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7829, predictive_accuracy: 0.7917, prior_entropy: 2.585, recall: 0.7917, relative_absolute_error: 0.3006, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.23, root_relative_squared_error: 0.6171, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5667, f_measure: 0.3121, kappa: 0.1333, kb_relative_information_score: 14.7087, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.6832, predictive_accuracy: 0.2778, prior_entropy: 2.585, recall: 0.2778, relative_absolute_error: 0.8667, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4907, root_relative_squared_error: 1.3166, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.7812, kappa: 0.75, kb_relative_information_score: 55.6135, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7906, predictive_accuracy: 0.7917, prior_entropy: 2.585, recall: 0.7917, relative_absolute_error: 0.2973, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.225, root_relative_squared_error: 0.6038, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.7775, kappa: 0.75, kb_relative_information_score: 55.1241, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7829, predictive_accuracy: 0.7917, prior_entropy: 2.585, recall: 0.7917, relative_absolute_error: 0.3006, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.23, root_relative_squared_error: 0.6171, scimark_benchmark: 1350.2591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.7775, kappa: 0.75, kb_relative_information_score: 55.1241, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7829, predictive_accuracy: 0.7917, prior_entropy: 2.585, recall: 0.7917, relative_absolute_error: 0.3006, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.23, root_relative_squared_error: 0.6171, scimark_benchmark: 1350.2591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.7775, kappa: 0.75, kb_relative_information_score: 55.1241, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7829, predictive_accuracy: 0.7917, prior_entropy: 2.585, recall: 0.7917, relative_absolute_error: 0.3006, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.23, root_relative_squared_error: 0.6171, scimark_benchmark: 1374.9737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.7775, kappa: 0.75, kb_relative_information_score: 55.1241, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7829, predictive_accuracy: 0.7917, prior_entropy: 2.585, recall: 0.7917, relative_absolute_error: 0.3006, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.23, root_relative_squared_error: 0.6171, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.8014, kappa: 0.7667, kb_relative_information_score: 55.6318, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.8007, predictive_accuracy: 0.8056, prior_entropy: 2.585, recall: 0.8056, relative_absolute_error: 0.3253, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.5586, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.7775, kappa: 0.75, kb_relative_information_score: 55.1241, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7829, predictive_accuracy: 0.7917, prior_entropy: 2.585, recall: 0.7917, relative_absolute_error: 0.3006, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.23, root_relative_squared_error: 0.6171, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.7775, kappa: 0.75, kb_relative_information_score: 55.1241, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7829, predictive_accuracy: 0.7917, prior_entropy: 2.585, recall: 0.7917, relative_absolute_error: 0.3006, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.23, root_relative_squared_error: 0.6171, scimark_benchmark: 1342.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.7775, kappa: 0.75, kb_relative_information_score: 55.1241, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7829, predictive_accuracy: 0.7917, prior_entropy: 2.585, recall: 0.7917, relative_absolute_error: 0.3006, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.23, root_relative_squared_error: 0.6171, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.7775, kappa: 0.75, kb_relative_information_score: 55.1241, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7829, predictive_accuracy: 0.7917, prior_entropy: 2.585, recall: 0.7917, relative_absolute_error: 0.3006, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.23, root_relative_squared_error: 0.6171, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, f_measure: 0.7228, kappa: 0.7167, kb_relative_information_score: 52.3665, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7475, predictive_accuracy: 0.7639, prior_entropy: 2.585, recall: 0.7639, relative_absolute_error: 0.344, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.6839, scimark_benchmark: 1385.8862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.7812, kappa: 0.75, kb_relative_information_score: 55.6135, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7906, predictive_accuracy: 0.7917, prior_entropy: 2.585, recall: 0.7917, relative_absolute_error: 0.2973, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.225, root_relative_squared_error: 0.6038, scimark_benchmark: 1325.4787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.7775, kappa: 0.75, kb_relative_information_score: 55.1241, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7829, predictive_accuracy: 0.7917, prior_entropy: 2.585, recall: 0.7917, relative_absolute_error: 0.3006, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.23, root_relative_squared_error: 0.6171, scimark_benchmark: 1333.0982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.7775, kappa: 0.75, kb_relative_information_score: 55.1241, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7829, predictive_accuracy: 0.7917, prior_entropy: 2.585, recall: 0.7917, relative_absolute_error: 0.3006, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.23, root_relative_squared_error: 0.6171, scimark_benchmark: 1350.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.7483, kappa: 0.7167, kb_relative_information_score: 50.2136, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7654, predictive_accuracy: 0.7639, prior_entropy: 2.585, recall: 0.7639, relative_absolute_error: 0.4044, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.241, root_relative_squared_error: 0.6466, scimark_benchmark: 1309.0674, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.8362, kappa: 0.8, kb_relative_information_score: 56.5954, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.8425, predictive_accuracy: 0.8333, prior_entropy: 2.585, recall: 0.8333, relative_absolute_error: 0.2915, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.5601, scimark_benchmark: 1354.5533, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, f_measure: 0.7228, kappa: 0.7167, kb_relative_information_score: 52.3665, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7475, predictive_accuracy: 0.7639, prior_entropy: 2.585, recall: 0.7639, relative_absolute_error: 0.344, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.6839, scimark_benchmark: 1292.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.7022, kappa: 0.65, kb_relative_information_score: 49.1385, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7033, predictive_accuracy: 0.7083, prior_entropy: 2.585, recall: 0.7083, relative_absolute_error: 0.3619, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2883, root_relative_squared_error: 0.7736, scimark_benchmark: 1314.2279, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.8282, kappa: 0.8, kb_relative_information_score: 51.3834, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.8314, predictive_accuracy: 0.8333, prior_entropy: 2.585, recall: 0.8333, relative_absolute_error: 0.3928, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2368, root_relative_squared_error: 0.6354, scimark_benchmark: 1325.1654, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5667, f_measure: 0.3121, kappa: 0.1333, kb_relative_information_score: 14.7087, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.6832, predictive_accuracy: 0.2778, prior_entropy: 2.585, recall: 0.2778, relative_absolute_error: 0.8667, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4907, root_relative_squared_error: 1.3166, scimark_benchmark: 1332.1612, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.7775, kappa: 0.75, kb_relative_information_score: 55.1241, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7829, predictive_accuracy: 0.7917, prior_entropy: 2.585, recall: 0.7917, relative_absolute_error: 0.3006, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.23, root_relative_squared_error: 0.6171, scimark_benchmark: 1364.5528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.8014, kappa: 0.7667, kb_relative_information_score: 55.6318, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.8007, predictive_accuracy: 0.8056, prior_entropy: 2.585, recall: 0.8056, relative_absolute_error: 0.3253, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.5586, scimark_benchmark: 1313.5633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.7775, kappa: 0.75, kb_relative_information_score: 55.1241, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7829, predictive_accuracy: 0.7917, prior_entropy: 2.585, recall: 0.7917, relative_absolute_error: 0.3006, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.23, root_relative_squared_error: 0.6171, scimark_benchmark: 1308.6872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.7483, kappa: 0.7167, kb_relative_information_score: 50.2136, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7654, predictive_accuracy: 0.7639, prior_entropy: 2.585, recall: 0.7639, relative_absolute_error: 0.4044, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.241, root_relative_squared_error: 0.6466, scimark_benchmark: 1322.0065, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5667, f_measure: 0.3121, kappa: 0.1333, kb_relative_information_score: 14.7087, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.6832, predictive_accuracy: 0.2778, prior_entropy: 2.585, recall: 0.2778, relative_absolute_error: 0.8667, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4907, root_relative_squared_error: 1.3166, scimark_benchmark: 1353.5464,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5667, f_measure: 0.3121, kappa: 0.1333, kb_relative_information_score: 14.7087, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.6832, predictive_accuracy: 0.2778, prior_entropy: 2.585, recall: 0.2778, relative_absolute_error: 0.8667, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4907, root_relative_squared_error: 1.3166, scimark_benchmark: 1123.855, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.6893, kappa: 0.6667, kb_relative_information_score: 53.2807, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.6713, predictive_accuracy: 0.7222, prior_entropy: 2.585, recall: 0.7222, relative_absolute_error: 0.3097, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2555, root_relative_squared_error: 0.6857, scimark_benchmark: 1290.7136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.6893, kappa: 0.6667, kb_relative_information_score: 53.2807, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.6713, predictive_accuracy: 0.7222, prior_entropy: 2.585, recall: 0.7222, relative_absolute_error: 0.3097, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2555, root_relative_squared_error: 0.6857, scimark_benchmark: 1297.6356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, f_measure: 0.7228, kappa: 0.7167, kb_relative_information_score: 52.3665, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7475, predictive_accuracy: 0.7639, prior_entropy: 2.585, recall: 0.7639, relative_absolute_error: 0.344, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.6839, scimark_benchmark: 1350.9691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.8482, kappa: 0.8167, kb_relative_information_score: 60.2343, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.8511, predictive_accuracy: 0.8472, prior_entropy: 2.585, recall: 0.8472, relative_absolute_error: 0.1876, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.5343, scimark_benchmark: 1341.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.8482, kappa: 0.8167, kb_relative_information_score: 59.8669, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.8511, predictive_accuracy: 0.8472, prior_entropy: 2.585, recall: 0.8472, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.5414, scimark_benchmark: 1340.1351, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.6161, kappa: 0.5667, kb_relative_information_score: 32.7483, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.6123, predictive_accuracy: 0.6389, prior_entropy: 2.585, recall: 0.6389, relative_absolute_error: 0.7236, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.7981, scimark_benchmark: 1315.4655, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.8482, kappa: 0.8167, kb_relative_information_score: 59.372, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.85, predictive_accuracy: 0.8472, prior_entropy: 2.585, recall: 0.8472, relative_absolute_error: 0.2046, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.5843, scimark_benchmark: 1363.454, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7333, f_measure: 0.5403, kappa: 0.4667, kb_relative_information_score: 36.7438, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.5785, predictive_accuracy: 0.5556, prior_entropy: 2.585, recall: 0.5556, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3849, root_relative_squared_error: 1.0328, scimark_benchmark: 1344.7246, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9123, f_measure: 0.7788, kappa: 0.75, kb_relative_information_score: 39.3984, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7876, predictive_accuracy: 0.7917, prior_entropy: 2.585, recall: 0.7917, relative_absolute_error: 0.6053, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.259, root_relative_squared_error: 0.6949, scimark_benchmark: 937.5996, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.7777, kappa: 0.7333, kb_relative_information_score: 53.3753, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7823, predictive_accuracy: 0.7778, prior_entropy: 2.585, recall: 0.7778, relative_absolute_error: 0.2946, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2691, root_relative_squared_error: 0.722, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.7022, kappa: 0.65, kb_relative_information_score: 49.1385, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7033, predictive_accuracy: 0.7083, prior_entropy: 2.585, recall: 0.7083, relative_absolute_error: 0.3619, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2883, root_relative_squared_error: 0.7736, scimark_benchmark: 1339.4189, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.8453, kappa: 0.8167, kb_relative_information_score: 54.569, mean_absolute_error: 0.0965, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.8443, predictive_accuracy: 0.8472, prior_entropy: 2.585, recall: 0.8472, relative_absolute_error: 0.3475, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.5646, scimark_benchmark: 1334.8495, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.8418, kappa: 0.8167, kb_relative_information_score: 54.3018, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.8425, predictive_accuracy: 0.8472, prior_entropy: 2.585, recall: 0.8472, relative_absolute_error: 0.3521, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.213, root_relative_squared_error: 0.5714, scimark_benchmark: 1321.8733, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.8243, kappa: 0.7833, kb_relative_information_score: 57.6772, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.8442, predictive_accuracy: 0.8194, prior_entropy: 2.585, recall: 0.8194, relative_absolute_error: 0.2167, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2453, root_relative_squared_error: 0.6583, scimark_benchmark: 929.0363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.7883, kappa: 0.75, kb_relative_information_score: 51.8566, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.789, predictive_accuracy: 0.7917, prior_entropy: 2.585, recall: 0.7917, relative_absolute_error: 0.3798, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.6166, scimark_benchmark: 906.4475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4167, f_measure: 0.0637, kappa: -0.0333, kb_relative_information_score: 0.2624, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.0468, predictive_accuracy: 0.1389, prior_entropy: 2.585, recall: 0.1389, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3735, root_relative_squared_error: 1.0023, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.7625, kappa: 0.7167, kb_relative_information_score: 48.0304, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.8249, predictive_accuracy: 0.7639, prior_entropy: 2.585, recall: 0.7639, relative_absolute_error: 0.4954, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2443, root_relative_squared_error: 0.6555, scimark_benchmark: 1321.6263,

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