OpenML
Supervised Classification on ar1

Supervised Classification on ar1

Task 3909 Supervised Classification ar1 558 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6949, f_measure: 0.8815, kappa: -0.0278, kb_relative_information_score: -21.5514, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8556, predictive_accuracy: 0.9091, prior_entropy: 0.4067, recall: 0.9091, relative_absolute_error: 0.7867, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2613, root_relative_squared_error: 0.9956, scimark_benchmark: 894.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6949, f_measure: 0.8815, kappa: -0.0278, kb_relative_information_score: -21.5514, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8556, predictive_accuracy: 0.9091, prior_entropy: 0.4067, recall: 0.9091, relative_absolute_error: 0.7867, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2613, root_relative_squared_error: 0.9956, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6949, f_measure: 0.8815, kappa: -0.0278, kb_relative_information_score: -21.5514, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8556, predictive_accuracy: 0.9091, prior_entropy: 0.4067, recall: 0.9091, relative_absolute_error: 0.7867, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2613, root_relative_squared_error: 0.9956, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4425, f_measure: 0.8899, kb_relative_information_score: -4.5488, mean_absolute_error: 0.1444, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 1.0054, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2628, root_relative_squared_error: 1.0011, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5838, f_measure: 0.9031, kappa: 0.1591, kb_relative_information_score: 30.7559, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.9006, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.5216, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2728, root_relative_squared_error: 1.0392, scimark_benchmark: 926.5859, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6751, f_measure: 0.9031, kappa: 0.1591, kb_relative_information_score: 30.3863, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.9006, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.5245, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2728, root_relative_squared_error: 1.0395, scimark_benchmark: 936.1714, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7044, f_measure: 0.9031, kappa: 0.1591, kb_relative_information_score: 29.8749, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.9006, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.5241, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2692, root_relative_squared_error: 1.0255, scimark_benchmark: 936.1714, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6786, f_measure: 0.9031, kappa: 0.1591, kb_relative_information_score: 29.447, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.9006, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.5257, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.267, root_relative_squared_error: 1.0173, scimark_benchmark: 940.0055, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6245, f_measure: 0.9031, kappa: 0.1591, kb_relative_information_score: 26.3939, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.9006, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.5346, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2726, root_relative_squared_error: 1.0387, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8899, kb_relative_information_score: 30.9789, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2727, root_relative_squared_error: 1.039, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6498, f_measure: 0.9174, kappa: 0.3998, kb_relative_information_score: 8.2086, mean_absolute_error: 0.1129, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.9174, predictive_accuracy: 0.9174, prior_entropy: 0.4067, recall: 0.9174, relative_absolute_error: 0.7864, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2686, root_relative_squared_error: 1.0235, scimark_benchmark: 942.6192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.9031, kappa: 0.1591, kb_relative_information_score: -44.2493, mean_absolute_error: 0.1286, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.9006, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.8954, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2557, root_relative_squared_error: 0.9743, scimark_benchmark: 899.1108, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6255, f_measure: 0.8899, kb_relative_information_score: -46.0543, mean_absolute_error: 0.1242, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.8648, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2663, root_relative_squared_error: 1.0145, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4425, f_measure: 0.8899, kb_relative_information_score: 2.0786, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.9599, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2627, root_relative_squared_error: 1.0007, scimark_benchmark: 923.509, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7049, f_measure: 0.8875, kappa: 0.0948, kb_relative_information_score: -12.8867, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8767, predictive_accuracy: 0.9008, prior_entropy: 0.4067, recall: 0.9008, relative_absolute_error: 0.7915, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.9923, scimark_benchmark: 926.4745, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7113, f_measure: 0.8951, kappa: 0.1978, kb_relative_information_score: -5.8394, mean_absolute_error: 0.108, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.89, predictive_accuracy: 0.9008, prior_entropy: 0.4067, recall: 0.9008, relative_absolute_error: 0.7522, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2889, root_relative_squared_error: 1.1007, scimark_benchmark: 903.4813, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8899, kb_relative_information_score: 30.9789, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2727, root_relative_squared_error: 1.039, scimark_benchmark: 890.5596, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8899, kb_relative_information_score: 30.9789, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2727, root_relative_squared_error: 1.039, scimark_benchmark: 946.8777, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4256, f_measure: 0.8899, kb_relative_information_score: -8.9492, mean_absolute_error: 0.1403, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.977, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2674, root_relative_squared_error: 1.0188, scimark_benchmark: 938.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4256, f_measure: 0.8899, kb_relative_information_score: -8.4748, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.9745, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.267, root_relative_squared_error: 1.0171, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4256, f_measure: 0.8899, kb_relative_information_score: -8.4748, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.9745, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.267, root_relative_squared_error: 1.0171, scimark_benchmark: 945.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4256, f_measure: 0.8899, kb_relative_information_score: -8.4748, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.9745, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.267, root_relative_squared_error: 1.0171, scimark_benchmark: 922.5036, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4256, f_measure: 0.8899, kb_relative_information_score: -8.4748, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.9745, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.267, root_relative_squared_error: 1.0171, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5526, f_measure: 0.8899, kb_relative_information_score: -26.2255, mean_absolute_error: 0.1314, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.9149, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2617, root_relative_squared_error: 0.9971, scimark_benchmark: 935.627, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6939, f_measure: 0.8857, kappa: -0.0151, kb_relative_information_score: -17.0599, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8562, predictive_accuracy: 0.9174, prior_entropy: 0.4067, recall: 0.9174, relative_absolute_error: 0.8297, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2642, root_relative_squared_error: 1.0065, scimark_benchmark: 946.6409, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4256, f_measure: 0.8899, kb_relative_information_score: -8.4748, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.9745, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.267, root_relative_squared_error: 1.0171, scimark_benchmark: 942.3809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6404, f_measure: 0.8857, kappa: -0.0151, kb_relative_information_score: -28.1261, mean_absolute_error: 0.1297, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8562, predictive_accuracy: 0.9174, prior_entropy: 0.4067, recall: 0.9174, relative_absolute_error: 0.903, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2738, root_relative_squared_error: 1.0432, scimark_benchmark: 942.3809, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7946, f_measure: 0.8978, kappa: 0.1345, kb_relative_information_score: -42.2749, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8877, predictive_accuracy: 0.9174, prior_entropy: 0.4067, recall: 0.9174, relative_absolute_error: 0.8294, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2557, root_relative_squared_error: 0.974, scimark_benchmark: 949.7766, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4425, f_measure: 0.8899, kb_relative_information_score: 2.0786, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.9599, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2627, root_relative_squared_error: 1.0007, scimark_benchmark: 936.4883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8899, kb_relative_information_score: 30.9789, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2727, root_relative_squared_error: 1.039, scimark_benchmark: 906.4475, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4256, f_measure: 0.8899, kb_relative_information_score: -8.9492, mean_absolute_error: 0.1403, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.977, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2674, root_relative_squared_error: 1.0188, scimark_benchmark: 1346.2927, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4256, f_measure: 0.8899, kb_relative_information_score: -8.4748, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.9745, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.267, root_relative_squared_error: 1.0171, scimark_benchmark: 1292.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4256, f_measure: 0.8899, kb_relative_information_score: -8.4748, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.9745, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.267, root_relative_squared_error: 1.0171, scimark_benchmark: 1322.0065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4256, f_measure: 0.8899, kb_relative_information_score: -8.9492, mean_absolute_error: 0.1403, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.977, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2674, root_relative_squared_error: 1.0188, scimark_benchmark: 1318.6467, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6939, f_measure: 0.8857, kappa: -0.0151, kb_relative_information_score: -17.0599, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8562, predictive_accuracy: 0.9174, prior_entropy: 0.4067, recall: 0.9174, relative_absolute_error: 0.8297, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2642, root_relative_squared_error: 1.0065, scimark_benchmark: 1322.5413, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4256, f_measure: 0.8899, kb_relative_information_score: -8.4748, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.9745, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.267, root_relative_squared_error: 1.0171, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4256, f_measure: 0.8899, kb_relative_information_score: -8.4748, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.9745, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.267, root_relative_squared_error: 1.0171, scimark_benchmark: 1325.7874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4256, f_measure: 0.8899, kb_relative_information_score: -8.4748, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.9745, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.267, root_relative_squared_error: 1.0171, scimark_benchmark: 1353.0836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6404, f_measure: 0.8857, kappa: -0.0151, kb_relative_information_score: -28.1261, mean_absolute_error: 0.1297, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8562, predictive_accuracy: 0.9174, prior_entropy: 0.4067, recall: 0.9174, relative_absolute_error: 0.903, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2738, root_relative_squared_error: 1.0432, scimark_benchmark: 1325.7874, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7946, f_measure: 0.8978, kappa: 0.1345, kb_relative_information_score: -42.2749, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8877, predictive_accuracy: 0.9174, prior_entropy: 0.4067, recall: 0.9174, relative_absolute_error: 0.8294, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2557, root_relative_squared_error: 0.974, scimark_benchmark: 942.9708, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4425, f_measure: 0.8899, kb_relative_information_score: 2.0786, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.9599, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2627, root_relative_squared_error: 1.0007, scimark_benchmark: 1320.9387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4256, f_measure: 0.8899, kb_relative_information_score: -8.4748, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.9745, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.267, root_relative_squared_error: 1.0171, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6939, f_measure: 0.8857, kappa: -0.0151, kb_relative_information_score: -17.0599, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8562, predictive_accuracy: 0.9174, prior_entropy: 0.4067, recall: 0.9174, relative_absolute_error: 0.8297, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2642, root_relative_squared_error: 1.0065, scimark_benchmark: 1332.6143, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4256, f_measure: 0.8899, kb_relative_information_score: -8.4748, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.9745, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.267, root_relative_squared_error: 1.0171, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4256, f_measure: 0.8899, kb_relative_information_score: -8.4748, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.9745, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.267, root_relative_squared_error: 1.0171, scimark_benchmark: 1312.2688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5174, f_measure: 0.8899, kb_relative_information_score: 1.035, mean_absolute_error: 0.1371, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.9547, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2625, root_relative_squared_error: 0.9999, scimark_benchmark: 1329.8937, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4256, f_measure: 0.8899, kb_relative_information_score: -8.9492, mean_absolute_error: 0.1403, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.977, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2674, root_relative_squared_error: 1.0188, scimark_benchmark: 1347.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4256, f_measure: 0.8899, kb_relative_information_score: -8.9492, mean_absolute_error: 0.1403, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.977, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2674, root_relative_squared_error: 1.0188, scimark_benchmark: 1315.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6404, f_measure: 0.8857, kappa: -0.0151, kb_relative_information_score: -28.1261, mean_absolute_error: 0.1297, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8562, predictive_accuracy: 0.9174, prior_entropy: 0.4067, recall: 0.9174, relative_absolute_error: 0.903, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2738, root_relative_squared_error: 1.0432, scimark_benchmark: 1315.933, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4425, f_measure: 0.8899, kb_relative_information_score: 2.0786, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.9599, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2627, root_relative_squared_error: 1.0007, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4256, f_measure: 0.8899, kb_relative_information_score: -8.4748, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.9745, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.267, root_relative_squared_error: 1.0171, scimark_benchmark: 1380.2233, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7946, f_measure: 0.8978, kappa: 0.1345, kb_relative_information_score: -42.2749, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8877, predictive_accuracy: 0.9174, prior_entropy: 0.4067, recall: 0.9174, relative_absolute_error: 0.8294, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2557, root_relative_squared_error: 0.974, scimark_benchmark: 1354.3488, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8899, kb_relative_information_score: 30.9789, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2727, root_relative_squared_error: 1.039, scimark_benchmark: 933.1165, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4256, f_measure: 0.8899, kb_relative_information_score: -8.9492, mean_absolute_error: 0.1403, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.977, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2674, root_relative_squared_error: 1.0188, scimark_benchmark: 1343.2125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4256, f_measure: 0.8899, kb_relative_information_score: -8.4748, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.9745, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.267, root_relative_squared_error: 1.0171, scimark_benchmark: 1343.2125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4256, f_measure: 0.8899, kb_relative_information_score: -8.4748, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.9745, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.267, root_relative_squared_error: 1.0171, scimark_benchmark: 1343.2125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7946, f_measure: 0.8978, kappa: 0.1345, kb_relative_information_score: -42.2749, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8877, predictive_accuracy: 0.9174, prior_entropy: 0.4067, recall: 0.9174, relative_absolute_error: 0.8294, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2557, root_relative_squared_error: 0.974, scimark_benchmark: 1312.0581, usercpu_time_millis: 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

OpenML bootcamp

From your own software

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

OpenML APIs